Daniel E. Quevedo

273 papers B 4C 12Misc 4Journal 198Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
Aggregation-Based Remote State Estimation Secrecy With Pseudo-Random Numbers for Networked Systems.
IEEE Trans. Control. Syst. Technol.
Xinhao Yan, Daniel E. Quevedo, Bo Chen, Hailong Huang
2026 J jnl
Explicit Model Predictive Control with Quantum Encryption.
CoRR
Yingjie Mi, Zihao Ren, Lei Wang, Daniel E. Quevedo, Guodong Shi
2026 J jnl
Incomplete-Information Dynamic Stackelberg Equilibrium Seeking by A Distributed Distributionally Robust Feedback Approach.
IEEE Trans. Cybern.
Longcheng Liu, Shuai Liu, Haotian Xu, Daniel E. Quevedo
2026 J jnl
Toward Wireless Human-Machine Collaboration in the 6G Era.
CoRR
Gaoyang Pang, Wanchun Liu, Chentao Yue, Daniel E. Quevedo, Karl Henrik Johansson, Branka Vucetic, Yonghui Li
2026 J jnl
Wireless Human-Machine Collaboration in Industry 5.0.
IEEE Trans. Wirel. Commun.
Gaoyang Pang, Wanchun Liu, Dusit Niyato, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
2025 J jnl
Bandwidth-Constrained Sensor Scheduling: A Trade-off between Fairness and Efficiency.
CoRR
Yuxing Zhong, Yuchi Wu, Daniel E. Quevedo, Ling Shi
2025 J jnl
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control.
IEEE Trans. Cybern.
Gaoyang Pang, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li, Wanchun Liu
2025 J jnl
Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation.
CoRR
Yuxing Zhong, Yuzhe Li, Daniel E. Quevedo, Ling Shi
2025 J jnl
Open and Closed-Loop Predictive Control Strategies for Software Rejuvenation.
IEEE Trans. Emerg. Top. Comput.
Teresa Arauz, José M. Maestre, Paula Chanfreut, Daniel E. Quevedo, Eduardo F. Camacho
2025 J jnl
Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey.
IEEE Trans Autom. Sci. Eng.
Xinhao Yan, Guanzhong Zhou, Daniel E. Quevedo, Carlos Murguia, Bo Chen, Hailong Huang
2025 J jnl
Remote State Estimation With Discounted Multi-Armed Bandits for Non-Stationary Channel Selection.
IEEE Control. Syst. Lett.
Jiuzhou Zhang, Wei Huo, Xiaomeng Chen, Daniel E. Quevedo, Ling Shi
2025 J jnl
Remote state estimation with privacy against active eavesdroppers.
Autom.
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
2025 J jnl
Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks.
IEEE Trans. Autom. Control.
Lixin Yang, Weijun Lv, Yong Xu, Jie Tao, Daniel E. Quevedo
2024 J jnl
Deep Learning for Wireless-Networked Systems: A Joint Estimation-Control-Scheduling Approach.
IEEE Internet Things J.
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2024 — conf
Extending Direct Data-Driven Predictive Control Towards Systems with Finite Control Sets.
ECC
Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
2024 J jnl
Extending direct data-driven predictive control towards systems with finite control sets.
CoRR
Manuel Klädtke, Moritz Schulze Darup, Daniel E. Quevedo
2024 J jnl
Innovation-Based Remote State Estimation Secrecy With No Acknowledgments.
IEEE Trans. Autom. Control.
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo, Falko Dressler
2024 J jnl
Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey.
CoRR
Xinhao Yan, Guanzhong Zhou, Daniel E. Quevedo, Carlos Murguia, Bo Chen, Hailong Huang
2024 J jnl
Structure-Enhanced DRL for Optimal Transmission Scheduling.
IEEE Trans. Wirel. Commun.
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic
2024 J jnl
The Vulnerability Analysis of Remote Estimation With Batch-Data Detectors Against Integrity Attacks.
IEEE Trans. Autom. Control.
Yake Yang, Yuzhe Li, Yang Shi, Daniel E. Quevedo
2024 J jnl
Thompson sampling for networked control over unknown channels.
Autom.
Wanchun Liu, Alex S. Leong, Daniel E. Quevedo
2024 J jnl
Time-Stamp Attacks on Remote State Estimation in Cyber-Physical Systems.
IEEE Trans. Control. Netw. Syst.
Fuyi Qu, Nachuan Yang, Hao Liu, Yuzhe Li, Daniel E. Quevedo
2024 J jnl
Wireless Human-Machine Collaboration in Industry 5.0.
CoRR
Gaoyang Pang, Wanchun Liu, Dusit Niyato, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
2023 J jnl
A jointly optimal design of control and scheduling in networked systems under denial-of-service attacks.
Autom.
Jingyi Lu, Daniel E. Quevedo
2023 J jnl
Centralized Model Predictive Control With Human-Driver Interaction for Platooning.
IEEE Trans. Veh. Technol.
Justin M. Kennedy, Julian Heinovski, Daniel E. Quevedo, Falko Dressler
2023 J jnl
Deception Attacks on Remote Estimation With Disclosure and Disruption Resources.
IEEE Trans. Autom. Control.
Yuzhe Li, Yake Yang, Zhengen Zhao, Jing Zhou, Daniel E. Quevedo
2023 J jnl
Ensemble Nonlinear Model Predictive Control for Residential Solar Battery Energy Management.
IEEE Trans. Control. Syst. Technol.
Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo, Chih Feng Lee, Changfu Zou
2023 J jnl
Ensemble Nonlinear Model Predictive Control for Residential Solar-Battery Energy Management.
CoRR
Yang Li, D. Mahinda Vilathgamuwa, Daniel E. Quevedo, Chih Feng Lee, Changfu Zou
2023 J jnl
Event-Triggered Transmission Policies for Nonlinear Control Systems Over Erasure Channels.
IEEE Control. Syst. Lett.
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
2023 J jnl
Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint.
IEEE Trans. Ind. Informatics
Lixin Yang, Yong Xu, Zenghong Huang, Hong-Xia Rao, Daniel E. Quevedo
2023 J jnl
Local Averaging for Consensus Over Communication Links With Random Dropouts.
IEEE Control. Syst. Lett.
Robert C. Ballam, Aaron McFadyen, Daniel E. Quevedo
2023 J jnl
Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation.
Autom.
Yong Xu, Haoxiang Xiang, Lixin Yang, Renquan Lu, Daniel E. Quevedo
2023 J jnl
Remote State Estimation with Privacy Against Active Eavesdroppers.
CoRR
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
2023 J jnl
Semantic-Aware Transmission Scheduling: A Monotonicity-Driven Deep Reinforcement Learning Approach.
IEEE Commun. Lett.
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2023 J jnl
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach.
CoRR
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2023 J jnl
Special issue on control technology for networked and distributed robotics (Part II).
Adv. Robotics
Masaaki Nagahara, Kai Cai, Debasish Chatterjee, Nikhil Chopra, Takeshi Hatanaka, Yutaka Hori, Hideaki Ishii, Daniel E. Quevedo, Michel A. Reniers
2023 J jnl
Special issue on control technology for networked and distributed robotics.
Adv. Robotics
Masaaki Nagahara, Kai Cai, Debasish Chatterjee, Nikhil Chopra, Takeshi Hatanaka, Yutaka Hori, Hideaki Ishii, Daniel E. Quevedo, Michel A. Reniers
2023 J jnl
Stability Conditions for Remote State Estimation of Multiple Systems Over Multiple Markov Fading Channels.
IEEE Trans. Autom. Control.
Wanchun Liu, Daniel E. Quevedo, Karl Henrik Johansson, Branka Vucetic, Yonghui Li
2023 J jnl
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes.
IEEE Trans. Autom. Control.
Alex S. Leong, Daniel E. Quevedo, Wanchun Liu
2023 J jnl
Stealthy Hacking and Secrecy of Controlled State Estimation Systems With Random Dropouts.
IEEE Trans. Autom. Control.
Jingyi Lu, Daniel E. Quevedo, Vijay Gupta, Subhrakanti Dey
2023 — conf
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling.
ICC
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2023 J jnl
Transmission Power Policies for Energy-Efficient Wireless Control of Nonlinear Systems.
IEEE Trans. Autom. Control.
Vineeth Satheeskumar Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
2022 J jnl
Adaptive Resilient Control of Cyber-Physical Systems Under Actuator and Sensor Attacks.
IEEE Trans. Ind. Informatics
Yue Zhao, Xin Du, Chunjie Zhou, Yu-Chu Tian, Xiaoya Hu, Daniel E. Quevedo
2022 J jnl
Anytime Control Under Practical Communication Models.
IEEE Trans. Autom. Control.
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2022 — conf
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation.
ANZCC
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
2022 J jnl
Bayesian Quickest Change Detection of an Intruder in Acknowledgments for Private Remote State Estimation.
CoRR
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo
2022 J jnl
Centralized Model-Predictive Control with Human-Driver Interaction for Platooning.
CoRR
Justin M. Kennedy, Julian Heinovski, Daniel E. Quevedo, Falko Dressler
2022 J jnl
Coding for Secrecy in Remote State Estimation With an Adversary.
IEEE Trans. Autom. Control.
Marvin Lücke, Jingyi Lu, Daniel E. Quevedo
2022 J jnl
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach.
CoRR
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2022 J jnl
Fast Hands-Off Control Using ADMM Real-Time Iterations.
IEEE Trans. Autom. Control.
Moritz Schulze Darup, Gerrit Book, Daniel E. Quevedo, Masaaki Nagahara
2022 — conf
H2 Controller Design for Multi-Agent Systems with Markovian Switching Topologies.
ANZCC
Robert C. Ballam, Aaron McFadyen, Daniel E. Quevedo
2022 J jnl
Innovation-Based Remote State Estimation Secrecy with no Acknowledgments.
CoRR
Justin M. Kennedy, Jason J. Ford, Daniel E. Quevedo, Falko Dressler
2022 J jnl
Multi-step attack detection in industrial control systems using causal analysis.
Comput. Ind.
Zahra Jadidi, Joshua Hagemann, Daniel E. Quevedo
2022 J jnl
On extended state estimation for nonlinear uncertain systems with round-robin protocol.
Autom.
Yong Xu, Weijun Lv, Weiqun Lin, Renquan Lu, Daniel E. Quevedo
2022 J jnl
Optimization Over Time-Varying Networks and Unbounded Information Delays.
IEEE Trans. Autom. Control.
Arunselvan Ramaswamy, Adrian Redder, Daniel E. Quevedo
2022 J jnl
Remote State Estimation With Smart Sensors Over Markov Fading Channels.
IEEE Trans. Autom. Control.
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic
2022 J jnl
Remote State Estimation of Multiple Systems over Semi-Markov Wireless Fading Channels.
CoRR
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
2022 J jnl
Remote State Estimation with Privacy Against Eavesdroppers.
CoRR
Matthew Crimson, Justin M. Kennedy, Daniel E. Quevedo
2022 J jnl
Stability Conditions for Remote State Estimation of Multiple Systems Over Semi-Markov Fading Channels.
IEEE Control. Syst. Lett.
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
2022 J jnl
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation.
CoRR
Alex S. Leong, Daniel E. Quevedo
2022 J jnl
Structure-Enhanced DRL for Optimal Transmission Scheduling.
CoRR
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Saeed R. Khosravirad, Yonghui Li, Branka Vucetic
2022 J jnl
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling.
CoRR
Jiazheng Chen, Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2022 — conf
Tree-based Model Predictive Control Strategy for Software Rejuvenation.
CDC
Teresa Arauz, José María Maestre, Daniel E. Quevedo, Eduardo Fernández Camacho
2021 J jnl
Asynchronous Stochastic Approximations With Asymptotically Biased Errors and Deep Multiagent Learning.
IEEE Trans. Autom. Control.
Arunselvan Ramaswamy, Shalabh Bhatnagar, Daniel E. Quevedo
2021 J jnl
Co-design of Control and Scheduling in Networked Systems under Denial-of-Service attacks.
CoRR
Jingyi Lu, Daniel E. Quevedo
2021 J jnl
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control.
CoRR
Wanchun Liu, Kang Huang, Daniel E. Quevedo, Branka Vucetic, Yonghui Li
2021 J jnl
Encryption scheduling for remote state estimation under an operation constraint.
Autom.
Lingying Huang, Kemi Ding, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2021 J jnl
On Periodic Scheduling and Control for Networked Systems Under Random Data Loss.
IEEE Trans. Control. Netw. Syst.
Atreyee Kundu, Daniel E. Quevedo
2021 J jnl
Privacy-Preserving Correlated Data Publication: Privacy Analysis and Optimal Noise Design.
IEEE Trans. Netw. Sci. Eng.
Mingjing Sun, Chengcheng Zhao, Jianping He, Peng Cheng, Daniel E. Quevedo
2021 J jnl
Remote State Estimation in the Presence of an Active Eavesdropper.
IEEE Trans. Autom. Control.
Kemi Ding, Xiaoqiang Ren, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2021 J jnl
Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels.
CoRR
Wanchun Liu, Daniel E. Quevedo, Karl Henrik Johansson, Branka Vucetic, Yonghui Li
2021 J jnl
Transmission power policies for energy-efficient wireless control of nonlinear system.
CoRR
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
2020 B conf
A Game-Theoretic Approach to Covert Communications.
PIMRC
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
2020 J jnl
Anytime Control with Markovian Computation and Communication Resources.
CoRR
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Branka Vucetic
2020 J jnl
Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy.
CoRR
Marius Protte, René Fahr, Daniel E. Quevedo
2020 J jnl
Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems.
Autom.
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi
2020 J jnl
Defensive deception against reactive jamming attacks in remote state estimation.
Autom.
Kemi Ding, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2020 J jnl
Design of periodic scheduling and control for networked systems under random data loss.
CoRR
Atreyee Kundu, Daniel E. Quevedo
2020 J jnl
Encrypted control for networked systems - An illustrative introduction and current challenges.
CoRR
Moritz Schulze Darup, Andreea B. Alexandru, Daniel E. Quevedo, George J. Pappas
2020 — conf
Maximum hands-off feedback control for finite-time stabilization.
CDC
Yogesh Kumar, Sukumar Srikant, Masaaki Nagahara, Debasish Chatterjee, Daniel E. Quevedo
2020 J jnl
Remote State Estimation with Smart Sensors over Markov Fading Channels.
CoRR
Wanchun Liu, Daniel E. Quevedo, Yonghui Li, Karl Henrik Johansson, Branka Vucetic
2020 J jnl
Stabilizing Scheduling Policies for Networked Control Systems.
IEEE Trans. Control. Netw. Syst.
Atreyee Kundu, Daniel E. Quevedo
2020 J jnl
Stealthy hacking and secrecy of controlled state estimation systems with random dropouts.
CoRR
Jingyi Lu, Daniel E. Quevedo, Vijay Gupta, Subhrakanti Dey
2020 J jnl
Stochastic predictive control under intermittent observations and unreliable actions.
Autom.
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
2020 — conf
Time-based transmission power policies for energy-efficient wireless control of nonlinear systems.
CDC
Vineeth S. Varma, Romain Postoyan, Daniel E. Quevedo, Irinel-Constantin Morarescu
2019 J jnl
A Game-Theoretic Approach to Covert Communications.
CoRR
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
2019 J jnl
An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper.
CoRR
Jingyi Lu, Alex S. Leong, Daniel E. Quevedo
2019 J jnl
Ausgewählte Beiträge des GMA-Fachausschusses 1.50.
Autom.
Knut Graichen, Daniel E. Quevedo
2019 — conf
Combined control and communication scheduling for constrained system using robust output feedback MPC.
ECC
Markus J. Kögel, Daniel E. Quevedo, Rolf Findeisen
2019 J jnl
Deep reinforcement learning for scheduling in large-scale networked control systems.
CoRR
Adrian Redder, Arunselvan Ramaswamy, Daniel E. Quevedo
2019 J jnl
DoS Attacks on Remote State Estimation With Asymmetric Information.
IEEE Trans. Control. Netw. Syst.
Kemi Ding, Xiaoqiang Ren, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2019 J jnl
Encrypted Cooperative Control Based on Structured Feedback.
IEEE Control. Syst. Lett.
Moritz Schulze Darup, Adrian Redder, Daniel E. Quevedo
2019 C conf
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost.
ACC
Lingying Huang, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2019 J jnl
Finite Time Encryption Schedule in the Presence of an Eavesdropper with Operation Cost.
CoRR
Lingying Huang, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2019 J jnl
Information Bounds for State Estimation in the Presence of an Eavesdropper.
IEEE Control. Syst. Lett.
Alex S. Leong, Daniel E. Quevedo, Daniel Dolz, Subhrakanti Dey
2019 — conf
On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions.
CDC
Navid Noroozi, Roxanne Jackson, Daniel E. Quevedo, Fabian R. Wirth, Rolf Findeisen
2019 J jnl
Optimal Energy Allocation in Multisensor Estimation Over Wireless Channels Using Energy Harvesting and Sharing.
IEEE Trans. Autom. Control.
Steffi Knorn, Subhrakanti Dey, Anders Ahlén, Daniel E. Quevedo
2019 J jnl
Pricing and Selection of Channels for Remote State Estimation Using a Stackelberg Game Framework.
IEEE Trans. Signal Inf. Process. over Networks
Yuqing Ni, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2019 J jnl
Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach.
IEEE Trans. Signal Process.
Ziyang Guo, Dawei Shi, Daniel E. Quevedo, Ling Shi
2019 J jnl
Stability Analysis of Event-Triggered Anytime Control With Multiple Control Laws.
IEEE Trans. Autom. Control.
Thuy V. Dang, Keck Voon Ling, Daniel E. Quevedo
2019 J jnl
Stabilizing Scheduling Policies for Networked Control Systems.
CoRR
Atreyee Kundu, Daniel E. Quevedo
2019 J jnl
Tradeoffs in Stochastic Event-Triggered Control.
IEEE Trans. Autom. Control.
Burak Demirel, Alex S. Leong, Vijay Gupta, Daniel E. Quevedo
2019 J jnl
Transmission Scheduling for Remote State Estimation Over Packet Dropping Links in the Presence of an Eavesdropper.
IEEE Trans. Autom. Control.
Alex S. Leong, Daniel E. Quevedo, Daniel Dolz, Subhrakanti Dey
2018 C conf
A fixed-point implementation of explicit MPC laws.
ACC
Moritz Schulze Darup, Adrian Redder, Daniel E. Quevedo
2018 J jnl
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems.
CoRR
Alex S. Leong, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, Ling Shi
2018 J jnl
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling.
CoRR
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
2018 J jnl
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling.
IEEE Control. Syst. Lett.
Burak Demirel, Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl
2018 J jnl
Event-Triggered Quantized Communication-Based Distributed Convex Optimization.
IEEE Trans. Control. Netw. Syst.
Shuai Liu, Lihua Xie, Daniel E. Quevedo
2018 — conf
On the Use of Artificial Noise for Secure State Estimation in the Presence of Eavesdroppers.
ECC
Alex S. Leong, Adrian Redder, Daniel E. Quevedo, Subhrakanti Dey
2018 J jnl
Optimal Control of Linear Systems With Limited Control Actions: Threshold-Based Event-Triggered Control.
IEEE Trans. Control. Netw. Syst.
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo, Mikael Johansson
2018 J jnl
Sparse and constrained stochastic predictive control for networked systems.
Autom.
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
2018 J jnl
Stabilizing Stochastic Predictive Control Under Bernoulli Dropouts.
IEEE Trans. Autom. Control.
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
2018 J jnl
Towards Encrypted MPC for Linear Constrained Systems.
IEEE Control. Syst. Lett.
Moritz Schulze Darup, Adrian Redder, Iman Shames, Farhad Farokhi, Daniel E. Quevedo
2018 J jnl
Transmission scheduling for remote state estimation and control with an energy harvesting sensor.
Autom.
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2017 J jnl
A Game-Theoretic Approach to Fake-Acknowledgment Attack on Cyber-Physical Systems.
IEEE Trans. Signal Inf. Process. over Networks
Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2017 J jnl
A multi-channel transmission schedule for remote state estimation under DoS attacks.
Autom.
Kemi Ding, Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2017 J jnl
Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels [Extended].
CoRR
Daniel Dolz, Daniel E. Quevedo, Ignacio Peñarrocha, Alex S. Leong, Roberto Sanchis
2017 J jnl
Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels.
Autom.
Daniel Dolz, Daniel E. Quevedo, Ignacio Peñarrocha, Alex S. Leong, Roberto Sanchis
2017 J jnl
Energy-Aware Radio Chip Management for Wireless Control.
IEEE Trans. Control. Syst. Technol.
Nicolas Cardoso de Castro, Daniel E. Quevedo, Federica Garin, Carlos Canudas-de-Wit
2017 J jnl
Game-Theoretic Pricing and Selection with Fading Channels.
CoRR
Yuqing Ni, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2017 — conf
Game-theoretic pricing and selection with fading channels.
ASCC
Yuqing Ni, Alex S. Leong, Daniel E. Quevedo, Ling Shi
2017 J jnl
Improved results on transmission power control for remote state estimation.
Syst. Control. Lett.
Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, Ling Shi
2017 J jnl
On the Trade-Off Between Communication and Control Cost in Event-Triggered Dead-Beat Control.
IEEE Trans. Autom. Control.
Burak Demirel, Vijay Gupta, Daniel E. Quevedo, Mikael Johansson
2017 J jnl
Optimal control of linear systems with limited control actions: threshold-based event-triggered control.
CoRR
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo, Mikael Johansson
2017 J jnl
Output Feedback Stable Stochastic Predictive Control With Hard Control Constraints.
IEEE Control. Syst. Lett.
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
2017 J jnl
Power Control of an Energy Harvesting Sensor for Remote State Estimation.
IEEE Trans. Autom. Control.
Yuzhe Li, Fan Zhang, Daniel E. Quevedo, Vincent K. N. Lau, Subhrakanti Dey, Ling Shi
2017 J jnl
Remote State Estimation over Packet Dropping Links in the Presence of an Eavesdropper.
CoRR
Alex S. Leong, Daniel E. Quevedo, Daniel Dolz, Subhrakanti Dey
2017 J jnl
SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach.
IEEE Trans. Control. Netw. Syst.
Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2017 J jnl
Sensor Scheduling in Variance Based Event Triggered Estimation With Packet Drops.
IEEE Trans. Autom. Control.
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2017 — conf
Sparsity-promoting iterative learning control for resource-constrained control systems.
CDC
Burak Demirel, Euhanna Ghadimi, Daniel E. Quevedo
2017 — conf
State estimation over Markovian packet dropping links in the presence of an eavesdropper.
CDC
Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey
2017 J jnl
Stochastic Game in Remote Estimation Under DoS Attacks.
IEEE Control. Syst. Lett.
Kemi Ding, Subhrakanti Dey, Daniel E. Quevedo, Ling Shi
2017 J jnl
Trade-Offs in Stochastic Event-Triggered Control.
CoRR
Burak Demirel, Alex S. Leong, Vijay Gupta, Daniel E. Quevedo
2016 — conf
A secure cross-layer design for remote estimation under DoS attack: When multi-sensor meets multi-channel.
CDC
Kemi Ding, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2016 J jnl
Characterization of maximum hands-off control.
CoRR
Debasish Chatterjee, Masaaki Nagahara, Daniel E. Quevedo, K. S. Mallikarjuna Rao
2016 J jnl
Characterization of maximum hands-off control.
Syst. Control. Lett.
Debasish Chatterjee, Masaaki Nagahara, Daniel E. Quevedo, K. S. Mallikarjuna Rao
2016 J jnl
Controller and Scheduler Codesign for Feedback Control Over IEEE 802.15.4 Networks.
IEEE Trans. Control. Syst. Technol.
Edwin G. W. Peters, Daniel E. Quevedo, Minyue Fu
2016 J jnl
Discrete-time hands-off control by sparse optimization.
EURASIP J. Adv. Signal Process.
Masaaki Nagahara, Jan Østergaard, Daniel E. Quevedo
2016 C conf
Fast multistep finite control set model predictive control for transient operation of power converters.
IECON
Roky Baidya, Ricardo P. Aguilera, Pablo Acuña, Ramón A. Delgado, Tobias Geyer, Daniel E. Quevedo, Toit Mouton
2016 J jnl
Kalman Filtering With Relays Over Wireless Fading Channels.
IEEE Trans. Autom. Control.
Alex S. Leong, Daniel E. Quevedo
2016 J jnl
Maximum Hands-Off Control: A Paradigm of Control Effort Minimization.
IEEE Trans. Autom. Control.
Masaaki Nagahara, Daniel E. Quevedo, Dragan Nesic
2016 J jnl
Multiple descriptions for packetized predictive control.
EURASIP J. Adv. Signal Process.
Jan Østergaard, Daniel E. Quevedo
2016 J jnl
On Network Topology Reconfiguration for Remote State Estimation.
IEEE Trans. Autom. Control.
Alex S. Leong, Daniel E. Quevedo, Anders Ahlén, Karl Henrik Johansson
2016 — conf
On the reachability property for networks of linear time-invariant subsystems.
AuCC
Mohsen Zamani, Brett Ninness, Daniel E. Quevedo
2016 — conf
Optimal transmission policies for variance based event triggered estimation with an energy harvesting sensor.
EUSIPCO
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2016 J jnl
Predictive control, embedded cyberphysical systems and systems of systems - A perspective.
Annu. Rev. Control.
Sergio Lucia, Markus J. Kögel, Pablo Zometa, Daniel E. Quevedo, Rolf Findeisen
2016 J jnl
Robust stability of a class of Networked Control Systems.
Autom.
Merid Ljesnjanin, Dragan Nesic, Daniel E. Quevedo
2016 J jnl
Shaped Gaussian Dictionaries for Quantized Networked Control Systems With Correlated Dropouts.
IEEE Trans. Signal Process.
Edwin G. W. Peters, Daniel E. Quevedo, Jan Østergaard
2016 — conf
Stable stochastic predictive controller under unreliable up-link.
ECC
Prabhat Kumar Mishra, Debasish Chatterjee, Daniel E. Quevedo
2016 — conf
Threshold optimization of event-triggered multi-loop control systems.
WODES
Burak Demirel, Vijay Gupta, Daniel E. Quevedo, Mikael Johansson
2016 — conf
Unified approach to controller and MMSE estimator design with intermittent communications.
CDC
Edwin G. W. Peters, Damián Marelli, Minyue Fu, Daniel E. Quevedo
2015 J jnl
An
Int. J. Syst. Sci.
Isabel Jurado, Manuel G. Ortega, Daniel E. Quevedo, Francisco R. Rubio
2015 J jnl
Anytime Control Using Input Sequences With Markovian Processor Availability.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Wann-Jiun Ma, Vijay Gupta
2015 — conf
Co-design for control and scheduling over wireless industrial control networks.
CDC
Edwin G. W. Peters, Daniel E. Quevedo, Minyue Fu
2015 J jnl
Data-Driven Power Control for State Estimation: A Bayesian Inference Approach.
CoRR
Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, Vincent K. N. Lau, Ling Shi
2015 J jnl
Data-driven power control for state estimation: A Bayesian inference approach.
Autom.
Junfeng Wu, Yuzhe Li, Daniel E. Quevedo, Vincent K. N. Lau, Ling Shi
2015 J jnl
Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing.
IEEE Trans. Signal Process.
Steffi Knorn, Subhrakanti Dey, Anders Ahlén, Daniel E. Quevedo
2015 — conf
Event-triggered anytime control with two controllers.
CDC
K. Q. Huang, Thuy V. Dang, Keck Voon Ling, Daniel E. Quevedo
2015 J jnl
Fake-Acknowledgment Attack on ACK-based Sensor Power Schedule for Remote State Estimation.
CoRR
Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2015 — conf
Fake-acknowledgment attack on ACK-based sensor power schedule for remote state estimation.
CDC
Yuzhe Li, Daniel E. Quevedo, Subhrakanti Dey, Ling Shi
2015 J jnl
Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach.
IEEE Trans. Autom. Control.
Yuzhe Li, Ling Shi, Peng Cheng, Jiming Chen, Daniel E. Quevedo
2015 J jnl
Kalman Filtering With Relays Over Wireless Fading Channels.
CoRR
Alex S. Leong, Daniel E. Quevedo
2015 — conf
Multi-sensor estimation using energy harvesting and energy sharing.
ICC
Steffi Knorn, Subhrakanti Dey, Anders Ahlén, Daniel E. Quevedo
2015 J jnl
Multiple Loop Self-Triggered Model Predictive Control for Network Scheduling and Control.
CoRR
Erik Henriksson, Daniel E. Quevedo, Edwin G. W. Peters, Henrik Sandberg, Karl Henrik Johansson
2015 J jnl
Multiple-Loop Self-Triggered Model Predictive Control for Network Scheduling and Control.
IEEE Trans. Control. Syst. Technol.
Erik Henriksson, Daniel E. Quevedo, Edwin G. W. Peters, Henrik Sandberg, Karl Henrik Johansson
2015 J jnl
On the Reachability of Networked Systems.
CoRR
Mohsen Zamani, Brett Ninness, Daniel E. Quevedo
2015 — conf
On the optimality of threshold policies in event triggered estimation with packet drops.
ECC
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2015 J jnl
On the trade-off between control performance and communication cost in event-triggered control.
CoRR
Burak Demirel, Vijay Gupta, Daniel E. Quevedo, Mikael Johansson
2015 J jnl
Predictive Control of Power Converters: Designs With Guaranteed Performance.
IEEE Trans. Ind. Informatics
Ricardo P. Aguilera, Daniel E. Quevedo
2015 J jnl
Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters.
IEEE Trans. Ind. Electron.
Sergio Vazquez, Abraham Marquez, Ricardo P. Aguilera, Daniel E. Quevedo, Jose Ignacio León Galván, Leopoldo García Franquelo
2015 — conf
Predictive direct power control for grid connected power converters with dc-link voltage dynamic reference design.
ICIT
Sergio Vazquez, Abraham Marquez, Ricardo P. Aguilera, Daniel E. Quevedo, José I. Leon, Leopoldo García Franquelo
2015 J jnl
Sensor Scheduling in Variance Based Event Triggered Estimation with Packet Drops.
CoRR
Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2015 J jnl
Stochastic MPC with applications to process control.
Int. J. Control
Isabel Jurado, Pablo Millán, Daniel E. Quevedo, Francisco R. Rubio
2015 J jnl
Switched Model Predictive Control for Improved Transient and Steady-State Performance.
IEEE Trans. Ind. Informatics
Ricardo P. Aguilera, Pablo Lezana, Daniel E. Quevedo
2015 — conf
To wait or to drop: On the optimal number of retransmissions in wireless control.
ECC
Burak Demirel, Arda Aytekin, Daniel E. Quevedo, Mikael Johansson
2015 — conf
Uniform Global Asymptotic Stability of Networked Control Systems affected with packet dropouts and scheduling issues.
CDC
Merid Ljesnjanin, Dragan Nesic, Daniel E. Quevedo
2014 — conf
A jump filter for uncertain dynamic systems with dropouts.
CDC
Daniel Dolz, Daniel E. Quevedo, Ignacio Peñarrocha, Roberto Sanchis
2014 J jnl
An Optimal Transmission Strategy for Kalman Filtering Over Packet Dropping Links With Imperfect Acknowledgements.
IEEE Trans. Control. Netw. Syst.
Mojtaba Nourian, Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2014 J jnl
An Optimal Transmission Strategy for Kalman Filtering over Packet Dropping Links with Imperfect Acknowledgements.
CoRR
Mojtaba Nourian, Alex S. Leong, Subhrakanti Dey, Daniel E. Quevedo
2014 J jnl
Anytime Control using Input Sequences with Markovian Processor Availability.
CoRR
Daniel E. Quevedo, Wann-Jiun Ma, Vijay Gupta
2014 J jnl
Hands-Off Control as Green Control.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Dragan Nesic
2014 J jnl
Maximum Hands-Off Control: A Paradigm of Control Effort Minimization.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Dragan Nesic
2014 — conf
Multi-sensor transmission power scheduling for remote state estimation under SINR model.
CDC
Yuzhe Li, Daniel E. Quevedo, Vincent K. N. Lau, Ling Shi
2014 J jnl
Packetized MPC with dynamic scheduling constraints and bounded packet dropouts.
Autom.
Merid Ljesnjanin, Daniel E. Quevedo, Dragan Nesic
2014 J jnl
Power Control and Coding Formulation for State Estimation With Wireless Sensors.
IEEE Trans. Control. Syst. Technol.
Daniel E. Quevedo, Jan Østergaard, Anders Ahlén
2014 — conf
Reference design for predictive control of modular multilevel converters.
AuCC
Andres Lopez, Daniel E. Quevedo, Ricardo P. Aguilera, Tobias Geyer, Nikolaos Oikonomou
2014 J jnl
Sparse Packetized Predictive Control for Networked Control Over Erasure Channels.
IEEE Trans. Autom. Control.
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard
2014 J jnl
Stability of Sequence-Based Control With Random Delays and Dropouts.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Isabel Jurado
2014 J jnl
Stochastic Stability of Event-Triggered Anytime Control.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Vijay Gupta, Wann-Jiun Ma, Serdar Yüksel
2014 J jnl
Transmission Power Scheduling for Energy Harvesting Sensor in Remote State Estimation.
CoRR
Yuzhe Li, Daniel E. Quevedo, Vincent K. N. Lau, Subhrakanti Dey, Ling Shi
2013 J jnl
Adaptive Controller Placement for Wireless Sensor-Actuator Networks with Erasure Channels.
CoRR
Daniel E. Quevedo, Karl Henrik Johansson, Anders Ahlén, Isabel Jurado
2013 J jnl
Adaptive controller placement for wireless sensor-actuator networks with erasure channels.
Autom.
Daniel E. Quevedo, Karl Henrik Johansson, Anders Ahlén, Isabel Jurado
2013 J jnl
Compressive Sampling for Networked Feedback Control.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Takahiro Matsuda, Kazunori Hayashi
2013 J jnl
Correction to "Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss".
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Jan Østergaard, Eduardo I. Silva, Dragan Nesic
2013 C conf
Dual-stage model predictive control for Flying Capacitor Converters.
IECON
Pablo Lezana, Margarita Norambuena, Ricardo P. Aguilera, Daniel E. Quevedo
2013 J jnl
Finite-Control-Set Model Predictive Control With Improved Steady-State Performance.
IEEE Trans. Ind. Informatics
Ricardo P. Aguilera, Pablo Lezana, Daniel E. Quevedo
2013 — conf
Maximum hands-off control and L
CDC
Masaaki Nagahara, Daniel E. Quevedo, Dragan Nesic
2013 J jnl
Maximum-Hands-Off Control and L1 Optimality.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Dragan Nesic
2013 B conf
Multiple Description Coding for Closed Loop Systems over Erasure Channels.
DCC
Jan Østergaard, Daniel E. Quevedo
2013 C conf
On the use of a relay for Kalman filtering over packet dropping links.
ACC
Alex S. Leong, Daniel E. Quevedo
2013 — conf
Online sensor transmission power schedule for remote state estimation.
CDC
Yuzhe Li, Daniel E. Quevedo, Vincent K. N. Lau, Ling Shi
2013 J jnl
Optimal Periodic Transmission Power Schedules for Remote Estimation of ARMA Processes.
IEEE Trans. Signal Process.
Yuzhe Li, Daniel E. Quevedo, Vincent K. N. Lau, Ling Shi
2013 J jnl
Packetized Predictive Control for Rate-Limited Networks via Sparse Representation.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard
2013 J jnl
Power Control and Coding Formulation for State Estimation with Wireless Sensors.
CoRR
Daniel E. Quevedo, Jan Østergaard, Anders Ahlén
2013 — conf
Robustness of networked control systems with multiple actuator-links and bounded packet dropouts.
CDC
Merid Ljesnjanin, Daniel E. Quevedo, Dragan Nesic
2013 J jnl
Sequence-Based Anytime Control.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Vijay Gupta
2013 J jnl
Sequence-based Anytime Control.
CoRR
Daniel E. Quevedo, Vijay Gupta
2013 J jnl
Sparse Command Generator for Remote Control.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard, Takahiro Matsuda, Kazunori Hayashi
2013 J jnl
Sparse Packetized Predictive Control for Networked Control over Erasure Channels.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard
2013 J jnl
Sparse Representations for Packetized Predictive Networked Control.
CoRR
Masaaki Nagahara, Daniel E. Quevedo
2013 J jnl
Sparsely-Packetized Predictive Control by Orthogonal Matching Pursuit.
CoRR
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard
2013 J jnl
Stability Analysis of Quadratic MPC With a Discrete Input Alphabet.
IEEE Trans. Autom. Control.
Ricardo P. Aguilera, Daniel E. Quevedo
2013 J jnl
Stability of Sequence-Based Control with Random Delays and Dropouts.
CoRR
Daniel E. Quevedo, Isabel Jurado
2013 J jnl
State Estimation Over Sensor Networks With Correlated Wireless Fading Channels.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Anders Ahlén, Karl Henrik Johansson
2013 J jnl
State Estimation over Sensor Networks with Correlated Wireless Fading Channels.
CoRR
Daniel E. Quevedo, Anders Ahlén, Karl Henrik Johansson
2013 J jnl
Stochastic Stability of Event-triggered Anytime Control.
CoRR
Daniel E. Quevedo, Vijay Gupta, Wann-Jiun Ma, Serdar Yüksel
2012 C conf
A unifying framework for stability in MPC using a generalized integral terminal cost.
ACC
Marcus Reble, Daniel E. Quevedo, Frank Allgöwer
2012 Misc conf
Compressive sampling for networked feedback control.
ICASSP
Masaaki Nagahara, Daniel E. Quevedo, Takahiro Matsuda, Kazunori Hayashi
2012 — conf
Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms.
CDC
Marcus Reble, Daniel E. Quevedo, Frank Allgöwer
2012 J jnl
On Kalman filtering over fading wireless channels with controlled transmission powers.
Autom.
Daniel E. Quevedo, Anders Ahlén, Alex S. Leong, Subhrakanti Dey
2012 — conf
Packetized predictive control for rate-limited networks via sparse representation.
CDC
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard
2012 J jnl
Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses.
Autom.
Daniel E. Quevedo, Dragan Nesic
2012 — conf
Smart energy-aware sensors for event-based control.
CDC
Nicolas Cardoso de Castro, Daniel E. Quevedo, Federica Garin, Carlos Canudas de Wit
2011 J jnl
How Good is Quantized Model Predictive Control With Horizon One?
IEEE Trans. Autom. Control.
Claus Müller, Daniel E. Quevedo, Graham C. Goodwin
2011 J jnl
Input-to-State Stability of Packetized Predictive Control Over Unreliable Networks Affected by Packet-Dropouts.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Dragan Nesic
2011 — conf
Multiple descriptions for packetized predictive control over erasure channels.
ICCA
Jan Østergaard, Daniel E. Quevedo
2011 J jnl
Packetized Predictive Control of Stochastic Systems Over Bit-Rate Limited Channels With Packet Loss.
IEEE Trans. Autom. Control.
Daniel E. Quevedo, Jan Østergaard, Dragan Nesic
2011 J jnl
Real-Time Perceptual Moving-Horizon Multiple-Description Audio Coding.
IEEE Trans. Signal Process.
Jan Østergaard, Daniel E. Quevedo, Jesper Jensen
2011 — conf
Sparse command generator for remote control.
ICCA
Masaaki Nagahara, Daniel E. Quevedo, Jan Østergaard, Takahiro Matsuda, Kazunori Hayashi
2011 J jnl
Stability analysis of networked control systems subject to packet-dropouts and finite-level quantization.
Syst. Control. Lett.
Yumiko Ishido, Kiyotsugu Takaba, Daniel E. Quevedo
2011 — conf
Stability of sequence-based anytime control with Markovian processor availability.
AuCC
Daniel E. Quevedo, Vijay Gupta
2011 — conf
Stochastic stability and performance estimates of packetized unconstrained model predictive control for networked control systems.
ICCA
Marcus Reble, Daniel E. Quevedo, Frank Allgöwer
2010 J jnl
An introduction to the control of switching electronic systems.
Annu. Rev. Control.
Graham C. Goodwin, David Q. Mayne, Keng-Yuan Chen, Colin Coates, Galina Mirzaeva, Daniel E. Quevedo
2010 J jnl
Control system design subject to SNR constraints.
Autom.
Eduardo I. Silva, Graham C. Goodwin, Daniel E. Quevedo
2010 J jnl
Energy efficient state estimation with wireless sensors through the use of predictive power control and coding.
IEEE Trans. Signal Process.
Daniel E. Quevedo, Anders Ahlén, Jan Østergaard
2010 — conf
On anytime control of nonlinear processes through calculation of control sequences.
CDC
Vijay Gupta, Daniel E. Quevedo
2010 — conf
Predictive power control for dynamic state estimation over wireless sensor networks with relays.
EUSIPCO
Jan Østergaard, Daniel E. Quevedo, Anders Ahlén
2009 — conf
Innovations-based state estimation with wireless sensor networks.
ECC
Daniel E. Quevedo, Anders Ahlén, Jan Østergaard, Graham C. Goodwin
2009 Misc conf
Low delay moving-horizon multiple-description audio coding forwireless hearing aids.
ICASSP
Jan Østergaard, Daniel E. Quevedo, Jesper Jensen
2009 J jnl
Model Predictive Control of an Asymmetric Flying Capacitor Converter.
IEEE Trans. Ind. Electron.
Pablo Lezana, Ricardo P. Aguilera, Daniel E. Quevedo
2009 — conf
On the design of control systems over unreliable channels.
ECC
Eduardo I. Silva, Graham C. Goodwin, Daniel E. Quevedo
2009 — conf
Predictive control formulation for achieving a reduced finite control set in flying capacitor converters.
ECC
Ricardo P. Aguilera, Daniel E. Quevedo
2009 Misc conf
Predictive power control and multiple-description coding for wireless sensor networks.
ICASSP
Jan Østergaard, Daniel E. Quevedo, Anders Ahlén
2009 J jnl
Quantization of Filter Bank Frame Expansions Through Moving Horizon Optimization.
IEEE Trans. Signal Process.
Daniel E. Quevedo, Helmut Bölcskei, Graham C. Goodwin
2009 — conf
Quantized predictive control over erasure channels.
CDC
Daniel E. Quevedo, Jan Østergaard
2008 — conf
A predictive power control scheme for energy efficient state estimation via wireless sensor networks.
CDC
Daniel E. Quevedo, Anders Ahlén
2008 J jnl
Achieving the Quadratic Gaussian Rate-Distortion Function for Source Uncorrelated Distortions
CoRR
Milan S. Derpich, Jan Østergaard, Daniel E. Quevedo
2008 J jnl
Architectures and coder design for networked control systems.
Autom.
Graham C. Goodwin, Daniel E. Quevedo, Eduardo I. Silva
2008 Misc conf
Conditions for optimality of scalar feedback quantization.
ICASSP
Milan S. Derpich, Daniel E. Quevedo, Graham C. Goodwin
2008 J jnl
Control over unreliable networks affected by packet erasures and variable transmission delays.
IEEE J. Sel. Areas Commun.
Daniel E. Quevedo, Eduardo I. Silva, Graham C. Goodwin
2008 J jnl
On Optimal Perfect Reconstruction Feedback Quantizers.
IEEE Trans. Signal Process.
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quevedo, Graham C. Goodwin
2008 J jnl
Predictive Control in Power Electronics and Drives.
IEEE Trans. Ind. Electron.
Patricio Cortes, Marian P. Kazmierkowski, Ralph Kennel, Daniel E. Quevedo, José R. Rodríguez
2008 — conf
Simple coding for achieving mean square stability over bit-rate limited channels.
CDC
Eduardo I. Silva, Milan S. Derpich, Jan Østergaard, Daniel E. Quevedo
2007 J jnl
Conditions for optimality of Naïve quantized finite horizon control.
Int. J. Control
Daniel E. Quevedo, Claus Müller, Graham C. Goodwin
2007 J jnl
Multistep Detector for Linear ISI-Channels Incorporating Degrees of Belief in Past Estimates.
IEEE Trans. Commun.
Daniel E. Quevedo, Graham C. Goodwin, José A. De Doná
2007 B conf
OFDMA Uplink PAR Reduction via Tone Reservation.
GLOBECOM
Meng Wang, Daniel E. Quevedo, Graham C. Goodwin, Brian S. Krongold
2007 — conf
Optimal coding for bit-rate limited networked control systems in the presence of data loss.
CDC
Eduardo I. Silva, Daniel E. Quevedo, Graham C. Goodwin
2007 C conf
Packetized Predictive Control over Erasure Channels.
ACC
Daniel E. Quevedo, Eduardo I. Silva, Graham C. Goodwin
2007 C conf
Predictive Control of a Flying Capacitor Converter.
ACC
Eduardo I. Silva, Brendan P. McGrath, Daniel E. Quevedo, Graham C. Goodwin
2006 B conf
Joint Data Detection and Channel Estimation for MIMO-OFDM Systems via EM Algorithm and Sphere Decoding.
GLOBECOM
Meng Wang, Daniel E. Quevedo, Graham C. Goodwin
2006 — conf
Quantization and Sampling of Not Necessarily Band-Limited Signals.
ICASSP (3)
Milan S. Derpich, Daniel E. Quevedo, Graham C. Goodwin, Arie Feuer
2005 J jnl
Moving horizon design of discrete coefficient FIR filters.
IEEE Trans. Signal Process.
Daniel E. Quevedo, Graham C. Goodwin
2005 J jnl
Multistep optimal analog-to-digital conversion.
IEEE Trans. Circuits Syst. I Regul. Pap.
Daniel E. Quevedo, Graham C. Goodwin
2004 J jnl
A moving horizon approach to Networked Control system design.
IEEE Trans. Autom. Control.
Graham C. Goodwin, Hernan Haimovich, Daniel E. Quevedo, James S. Welsh
2004 C conf
Control of EMI from switch-mode power supplies via multi-step optimization.
ACC
Daniel E. Quevedo, Graham C. Goodwin
2004 C conf
Design issues arising in a networked control system architecture.
CCA
Daniel E. Quevedo, Graham C. Goodwin, James S. Welsh
2004 — conf
Multi-step optimal quantization in oversampled filter banks.
CDC
Daniel E. Quevedo, Graham C. Goodwin, Helmut Bölcskei
2003 C conf
An application of receding horizon control to estimation with quantized coefficients.
ACC
Graham C. Goodwin, Daniel E. Quevedo, José A. De Doná
2003 C conf
Audio quantization from a receding horizon control perspective.
ACC
Daniel E. Quevedo, Graham C. Goodwin
2003 — conf
Minimizing down-link traffic in networked control systems via optimal control techniques.
CDC
Daniel E. Quevedo, Graham C. Goodwin, James S. Welsh
2003 — conf
Moving horizon Monte Carlo state estimation for linear systems with output quantization.
CDC
Hernan Haimovich, Graham C. Goodwin, Daniel E. Quevedo
2002 — conf
On the dynamics of receding horizon linear quadratic finite alphabet control loops.
CDC
Daniel E. Quevedo, José A. De Doná, Graham C. Goodwin
2000 — conf
Robustification of model predictive control.
CDC
Daniel E. Quevedo, Mario E. Salgado