Ye Yuan

117 papers A* 4C 4Journal 80Unranked 29
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator.
IEEE Trans. Signal Process.
Zhexuan Zeng, Jun Liu, Ye Yuan
2024 J jnl
A Sampling Theorem for Exact Identification of Continuous-Time Nonlinear Dynamical Systems.
IEEE Trans. Autom. Control.
Zhexuan Zeng, Zuogong Yue, Alexandre Mauroy, Jorge M. Gonçalves, Ye Yuan
2024 J jnl
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries.
IEEE Trans. Neural Networks Learn. Syst.
Guijun Ma, Songpei Xu, Tao Yang, Zhenbang Du, LiMin Zhu, Han Ding, Ye Yuan
2024 J jnl
Active Learning-Aided Design of a Flexible Tactile Sensor Array for Recognizing Properties of Deformable Objects.
IEEE Trans. Instrum. Meas.
Linan Deng, Jinghao Zhang, Zuogong Yue, Zhi Li, Ye Yuan, Han Ding
2024 J jnl
Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods.
J. Mach. Learn. Res.
Jun Liu, Ye Yuan
2024 A* conf
An Iterative Min-Min Optimization Method for Sparse Bayesian Learning.
ICML
Yasen Wang, Junlin Li, Zuogong Yue, Ye Yuan
2024 J jnl
Data-Driven Koopman Learning and Prediction of Piezoelectric Tube Scanner Hysteresis.
IEEE Trans. Syst. Man Cybern. Syst.
Xiuting Li, Hai-Tao Zhang, Xiang Huang, Linlin Li, LiMin Zhu, Han Ding, Ye Yuan
2024 J jnl
Early warning of atrial fibrillation using deep learning.
Patterns
Marino E. Gavidia, Hongling Zhu, Arthur N. Montanari, Jesús Fuentes, Cheng Cheng, Sergio Dubner, Martin Chames, Pierre Maison-Blanche, Md. Moklesur Rahman, Roberto Sassi, Fabio Badilini, Yinuo Jiang, Shengjun Zhang, Hai-Tao Zhang, Hao Du, Basi Teng, Ye Yuan, Guohua Wan, Zhouping Tang, Xin He, Xiaoyun Yang, Jorge Gonçalves
2024 J jnl
Online Learning Based Shape Control for a Soft Manipulator Based on Spatial Features Feedback.
IEEE Robotics Autom. Lett.
Yi Shen, Jinghao Zhang, Ye Yuan, Fumin Zhang, Han Ding
2024 J jnl
Switched Momentum Dynamics Identification for Robot Collision Detection.
IEEE Trans. Ind. Informatics
Tan Shen, Xing Liu, Yunlong Dong, Liren Yang, Ye Yuan
2023 J jnl
A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator.
CoRR
Zhexuan Zeng, Ye Yuan
2023 J jnl
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst.
Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
2023 J jnl
Almost Sure Saddle Avoidance of Stochastic Gradient Methods without the Bounded Gradient Assumption.
CoRR
Jun Liu, Ye Yuan
2023 — conf
Boolean Internal Structure Reconstruction from Collapsed Small-Scale Networks.
CDC
Basi Teng, Yuxuan Zhao, Ye Yuan, Jorge Gonçalves
2023 J jnl
BoostTree and BoostForest for Ensemble Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi
2023 J jnl
Deep probabilistic graphical modeling for robust multivariate time series anomaly detection with missing data.
Reliab. Eng. Syst. Saf.
Jingyu Yang, Zuogong Yue, Ye Yuan
2023 J jnl
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica
Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan
2023 J jnl
Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series.
IEEE Trans. Ind. Informatics
Cheng Cheng, Xiaoyu Liu, Beitong Zhou, Ye Yuan
2023 J jnl
Inverse Power Flow Problem.
IEEE Trans. Control. Netw. Syst.
Ye Yuan, Steven H. Low, Omid Ardakanian, Claire J. Tomlin
2023 J jnl
Noise-Aware Sparse Gaussian Processes and Application to Reliable Industrial Machinery Health Monitoring.
IEEE Trans. Ind. Informatics
Jingyu Yang, Zuogong Yue, Ye Yuan
2022 — conf
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees.
L4DC
Milad Farsi, Yinan Li, Ye Yuan, Jun Liu
2022 — conf
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems.
CDC
Zhexuan Zeng, Zuogong Yue, Alexandre Mauroy, Jorge M. Gonçalves, Ye Yuan
2022 J jnl
A Sampling Theorem for Exact Identification of Continuous-time Nonlinear Dynamical Systems.
CoRR
Zhexuan Zeng, Zuogong Yue, Alexandre Mauroy, Jorge Gonçalves, Ye Yuan
2022 J jnl
Data-Driven Discovery of Block-Oriented Nonlinear Models Using Sparse Null-Subspace Methods.
IEEE Trans. Cybern.
Junlin Li, Xiuting Li, Hai-Tao Zhang, Guanrong Chen, Ye Yuan
2022 J jnl
Design of a Soft Gripper With Improved Microfluidic Tactile Sensors for Classification of Deformable Objects.
IEEE Robotics Autom. Lett.
Linan Deng, Yi Shen, Genglin Fan, Xin He, Zhi Li, Ye Yuan
2022 J jnl
Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices.
IEEE Trans. Instrum. Meas.
Shaolin Ran, Xiaoyun Yang, Ming Liu, Yong Zhang, Cheng Cheng, Hongling Zhu, Ye Yuan
2022 A* conf
On Almost Sure Convergence Rates of Stochastic Gradient Methods.
COLT
Jun Liu, Ye Yuan
2022 J jnl
On Almost Sure Convergence Rates of Stochastic Gradient Methods.
CoRR
Jun Liu, Ye Yuan
2022 A* conf
Sen-Glove: A Lightweight Wearable Glove for Hand Assistance with Soft Joint Sensing.
ICRA
Linan Deng, Yi Shen, Yang Hong, Yunlong Dong, Xin He, Ye Yuan, Zhi Li, Han Ding
2021 J jnl
A Full Bayesian Approach to Sparse Network Inference Using Heterogeneous Datasets.
IEEE Trans. Autom. Control.
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
2021 J jnl
DeFed: A Principled Decentralized and Privacy-Preserving Federated Learning Algorithm.
CoRR
Ye Yuan, Ruijuan Chen, Chuan Sun, Maolin Wang, Feng Hua, Xinlei Yi, Tao Yang, Jun Liu
2021 J jnl
Li Yan et al. reply.
Nat. Mach. Intell.
Jorge M. Gonçalves, Li Yan, Hai-Tao Zhang, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Zhiguo Cao, Shusheng Li, Hui Xu, Cheng Cheng, Junyang Jin, Ye Yuan
2021 — conf
Manipulability and Robustness Optimization of the Cable-Driven Redundant Soft Manipulator.
ROBIO
Yi Shen, Yang Hong, Wei Zhou, Ruochen Tai, Ye Yuan, Han Ding
2021 J jnl
Modeling and Control of Swing Oscillation of Underactuated Indoor Miniature Autonomous Blimps.
Unmanned Syst.
Qiuyang Tao, Tun Jian Tan, Jaeseok Cha, Ye Yuan, Fumin Zhang
2021 J jnl
Reply to: Clinical interpretation of an interpretable prognostic model for patients with COVID-19.
Nat. Mach. Intell.
Ye Yuan, Jorge M. Gonçalves, Yan Xiao, Hai-Tao Zhang, Hui Xu, Zhiguo Cao
2021 J jnl
Reply to: Consider the laboratory aspects in developing patient prediction models.
Nat. Mach. Intell.
Li Yan, Jorge M. Gonçalves, Hai-Tao Zhang, Shusheng Li, Ye Yuan
2021 J jnl
System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies.
IEEE Trans. Autom. Control.
Zuogong Yue, Johan Thunberg, Lennart Ljung, Ye Yuan, Jorge M. Gonçalves
2020 J jnl
A Fast Optimal Power Flow Algorithm Using Powerball Method.
IEEE Trans. Ind. Informatics
Hai-Tao Zhang, Weigao Sun, Yuanzheng Li, Dongfei Fu, Ye Yuan
2020 J jnl
A Hessian-Free Gradient Flow (HFGF) method for the optimisation of deep learning neural networks.
Comput. Chem. Eng.
Sushen Zhang, Ruijuan Chen, Wenyu Du, Ye Yuan, Vassilios S. Vassiliadis
2020 J jnl
An interpretable mortality prediction model for COVID-19 patients.
Nat. Mach. Intell.
Li Yan, Hai-Tao Zhang, Jorge M. Gonçalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan
2020 J jnl
Bayesian Learning-Based Harmonic State Estimation in Distribution Systems With Smart Meter and DPMU Data.
IEEE Trans. Smart Grid
Wei Zhou, Omid Ardakanian, Hai-Tao Zhang, Ye Yuan
2020 J jnl
BoostTree and BoostForest for Ensemble Learning.
CoRR
Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang
2020 J jnl
High precision variational Bayesian inference of sparse linear networks.
Autom.
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
2020 J jnl
Optimize TSK Fuzzy Systems for Regression Problems: Minibatch Gradient Descent With Regularization, DropRule, and AdaBound (MBGD-RDA).
IEEE Trans. Fuzzy Syst.
Dongrui Wu, Ye Yuan, Jian Huang, Yihua Tan
2020 J jnl
Principled reward shaping for reinforcement learning via lyapunov stability theory.
Neurocomputing
Yunlong Dong, Xiuchuan Tang, Ye Yuan
2020 — conf
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.
ECC
Pengchao Hu, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan
2020 J jnl
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.
Neurocomputing
Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan
2020 A* conf
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization.
IJCAI
Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan
2019 J jnl
A Full Bayesian Approach to Sparse Network Inference using Heterogeneous Datasets.
CoRR
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
2019 J jnl
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series.
CoRR
Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan
2019 J jnl
A survey of distributed optimization.
Annu. Rev. Control.
Tao Yang, Xinlei Yi, Junfeng Wu, Ye Yuan, Di Wu, Ziyang Meng, Yiguang Hong, Hong Wang, Zongli Lin, Karl Henrik Johansson
2019 J jnl
Artificial Intelligent Diagnosis and Monitoring in Manufacturing.
CoRR
Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding
2019 J jnl
Blind identification of fully observed linear time-varying systems via sparse recovery.
Autom.
Roel Dobbe, Stephan Liu, Ye Yuan, Claire J. Tomlin
2019 — conf
Deep Grasping Prediction with Antipodal Loss for Dual Arm Manipulators.
ICIRA (1)
Yunlong Dong, Xiangdi Liu, Bidan Huang, Chunlin Ji, Jianfeng Xu, Han Ding, Ye Yuan
2019 J jnl
Dynamical differential expression (DyDE) reveals the period control mechanisms of the Arabidopsis circadian oscillator.
PLoS Comput. Biol.
Laurent Mombaerts, Alberto Carignano, Fiona C. Robertson, Timothy J. Hearn, Jin Junyang, David P. Hayden, Zoe Rutterford, Carlos T. Hotta, Katherine E. Hubbard, Marti Ruiz C. Maria, Ye Yuan, Matthew A. Hannah, Jorge M. Gonçalves, Alex Webb
2019 J jnl
High Precision Variational Bayesian Inference of Sparse Linear Networks.
CoRR
Junyang Jin, Ye Yuan, Jorge M. Gonçalves
2019 J jnl
Machine Discovery of Partial Differential Equations from Spatiotemporal Data.
CoRR
Ye Yuan, Junlin Li, Liang Li, Frank Jiang, Xiuchuan Tang, Fumin Zhang, Sheng Liu, Jorge M. Gonçalves, Henning U. Voss, Xiuting Li, Jürgen Kurths, Han Ding
2019 J jnl
On Identification of Distribution Grids.
IEEE Trans. Control. Netw. Syst.
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe, Steven H. Low, Alexandra von Meier, Claire J. Tomlin, Ye Yuan
2019 J jnl
On the Powerball Method: Variants of Descent Methods for Accelerated Optimization.
IEEE Control. Syst. Lett.
Ye Yuan, Mu Li, Jun Liu, Claire J. Tomlin
2019 J jnl
Optimize TSK Fuzzy Systems for Big Data Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA).
CoRR
Dongrui Wu, Ye Yuan, Yihua Tan
2019 J jnl
Special section on control of complex networked systems (CCNS): Recent results and future trends.
Annu. Rev. Control.
Jianming Lian, Tao Yang, Ye Yuan
2019 J jnl
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.
CoRR
Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan
2018 J jnl
Data-driven Discovery of Cyber-Physical Systems.
CoRR
Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge M. Gonçalves
2018 — conf
Distributed Finite-Time Optimization.
ICCA
Lisha Yao, Ye Yuan, Shreyas Sundaram, Tao Yang
2018 — conf
Distributed Hunting for Multi USVs Based on Cyclic Estimation and Pursuit.
ICIRA (1)
Binbin Hu, Bin Liu, Zhecheng Xu, Tao Geng, Ye Yuan, Hai-Tao Zhang
2018 J jnl
Global Network Prediction from Local Node Dynamics.
CoRR
Neave O'Clery, Ye Yuan, Guy-Bart Stan, Mauricio Barahona
2018 J jnl
Identification of Nonlinear State-Space Systems From Heterogeneous Datasets.
IEEE Trans. Control. Netw. Syst.
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
2018 — conf
Learning-based Adaptive Robust Control of Manipulated Pneumatic Artificial Muscle Driven by H2-based Metal Hydride.
CASE
Kelin Li, Thanana Nuchkrua, Huan Zhao, Ye Yuan, Sudchai Boonto
2018 J jnl
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks.
CoRR
Cheng Cheng, Guijun Ma, Yong Zhang, Mingyang Sun, Fei Teng, Han Ding, Ye Yuan
2018 — conf
Sparse Bayesian Harmonic State Estimation.
SmartGridComm
Ye Yuan, Wei Zhou, Hai-Tao Zhang, Zuowei Ping, Omid Ardakanian
2018 — conf
Sparse Bayesian Learning-Based Adaptive Impedance Control in Physical Human-Robot Interaction.
ROBIO
Kelin Li, Huan Zhao, Thanana Nuchkrua, Ye Yuan, Han Ding
2017 J jnl
A Minimal Realization Technique for the Dynamical Structure Function of a Class of LTI Systems.
IEEE Trans. Control. Netw. Syst.
Ye Yuan, Anurag Rai, Enoch Yeung, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
2017 J jnl
Blind Identification of Fully Observed Discrete-Time Linear Time-Varying Systems via Sparse Recovery.
CoRR
Roel Dobbe, Stephan Liu, Ye Yuan, Claire J. Tomlin
2017 J jnl
Distributed Kalman filtering with minimum-time consensus algorithm.
CoRR
Ye Yuan, Ling Shi, Jun Liu, Zhiyong Chen, Hai-Tao Zhang, Jorge M. Gonçalves
2017 J jnl
Electrospinning Sedimentary Microstructure Feedback Control by Tuning Substrate Linear Machine Velocity.
IEEE Trans. Ind. Electron.
Hai-Tao Zhang, Gui-Ping Ren, Yue Wu, Hong-Wei Sun, Jian Huang, Zhouping Yin, Ye Yuan
2017 — conf
Identification of nonlinear sparse networks using sparse Bayesian learning.
CDC
Junyang Jin, Ye Yuan, Wei Pan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
2017 J jnl
Network Identifiability from Intrinsic Noise.
IEEE Trans. Autom. Control.
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
2017 J jnl
On Identification of Distribution Grids.
CoRR
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe, Steven H. Low, Alexandra von Meier, Claire J. Tomlin, Ye Yuan
2016 J jnl
A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems.
IEEE Trans. Autom. Control.
Wei Pan, Ye Yuan, Jorge M. Gonçalves, Guy-Bart Stan
2016 J jnl
Event Detection and Localization in Distribution Grids with Phasor Measurement Units.
CoRR
Omid Ardakanian, Ye Yuan, Roel Dobbe, Alexandra von Meier, Steven H. Low, Claire J. Tomlin
2016 J jnl
On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.
CoRR
Junyang Jin, Wei Pan, Duong L. T. Pham, Ye Yuan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
2016 J jnl
On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach.
CoRR
Junyang Jin, Ye Yuan, Wei Pan, Duong L. T. Pham, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves
2016 J jnl
On the Inverse Power Flow Problem.
CoRR
Ye Yuan, Omid Ardakanian, Steven H. Low, Claire J. Tomlin
2016 J jnl
On the Powerball Method.
CoRR
Ye Yuan, Mu Li, Claire J. Tomlin
2015 — conf
A stochastic framework for the design of transient and steady state behavior of biochemical reaction networks.
CDC
Ania A. Baetica, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
2015 J jnl
Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays.
IEEE Trans. Control. Netw. Syst.
Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Mikael Johansson
2015 — conf
Dynamical Structure Function and Granger Causality: Similarities and differences.
CDC
Zuogong Yue, Johan Thunberg, Ye Yuan, Jorge M. Gonçalves
2015 J jnl
Identifying Biochemical Reaction Networks From Heterogeneous Datasets.
CoRR
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
2015 — conf
Identifying biochemical reaction networks from heterogeneous datasets.
CDC
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
2015 J jnl
On minimal realisations of dynamical structure functions.
Autom.
Ye Yuan, Keith Glover, Jorge M. Gonçalves
2015 J jnl
Online fault diagnosis for nonlinear power systems.
Autom.
Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan
2014 — conf
Finite-time road grade computation for a vehicle platoon.
CDC
Tao Yang, Ye Yuan, Kezhi Li, Jorge M. Gonçalves, Karl Henrik Johansson
2014 C conf
H2 norm based network volatility measures.
ACC
Qingqing Huang, Ye Yuan, Jorge M. Gonçalves, Munther A. Dahleh
2014 C conf
Network reconstruction from intrinsic noise: Minimum-phase systems.
ACC
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
2014 J jnl
On minimal realisations of dynamical structure functions.
CoRR
Ye Yuan, Jorge M. Gonçalves
2013 — conf
Decentralised minimum-time average consensus in digraphs.
CDC
Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Michael Johansson
2013 J jnl
Decentralised minimum-time consensus.
Autom.
Ye Yuan, Guy-Bart Stan, Ling Shi, Mauricio Barahona, Jorge M. Gonçalves
2013 — conf
Distributed Kalman Filter with minimum-time covariance computation.
CDC
Jerry Thia, Ye Yuan, Ling Shi, Jorge M. Gonçalves
2013 J jnl
Finite Horizon LQR Control With Limited Controller-System Communication.
IEEE Trans. Autom. Control.
Ling Shi, Ye Yuan, Jiming Chen
2013 J jnl
How Can Online Schedules Improve Communication and Estimation Tradeoff?
IEEE Trans. Signal Process.
Junfeng Wu, Ye Yuan, Huanshui Zhang, Ling Shi
2013 J jnl
Network Reconstruction from Intrinsic Noise.
CoRR
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
2013 — conf
Network reconstruction using knock-out and over-expression data.
ECC
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
2013 — conf
Real-time fault diagnosis for large-scale nonlinear power networks.
CDC
Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan
2012 C conf
Decentralised minimal-time dynamic consensus.
ACC
Ye Yuan, Jun Liu, Richard M. Murray, Jorge M. Gonçalves
2012 — conf
Dynamical structure function identifiability conditions enabling signal structure reconstruction.
CDC
J. Adebayo, T. Southwick, Vasu Chetty, Enoch Yeung, Ye Yuan, Jorge M. Gonçalves, Julianne H. Grose, J. Prince, Guy-Bart Stan, Sean Warnick
2012 J jnl
Minimal realization of the dynamical structure function and its application to network reconstruction
CoRR
Ye Yuan, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
2012 — conf
Quantifying crosstalk in biochemical systems.
CDC
Enoch Yeung, Jongmin Kim, Ye Yuan, Jorge M. Gonçalves, Richard M. Murray
2012 J jnl
Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach
CoRR
Wei Pan, Ye Yuan, Guy-Bart Stan
2012 — conf
Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach.
CDC
Wei Pan, Ye Yuan, Jorge M. Gonçalves, Guy-Bart Stan
2012 — conf
Robust network reconstruction in polynomial time.
CDC
David P. Hayden, Ye Yuan, Jorge M. Gonçalves
2012 C conf
Sensor data scheduling for linear quadratic Gaussian control with full state feedback.
ACC
Ling Shi, Ye Yuan, Huanshui Zhang
2011 — conf
Decentralised minimal-time consensus.
CDC/ECC
Ye Yuan, Guy-Bart Stan, Mauricio Barahona, Ling Shi, Jorge M. Gonçalves
2011 J jnl
Robust dynamical network structure reconstruction.
Autom.
Ye Yuan, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
2010 — conf
Minimal-time network reconstruction for DTLTI systems.
CDC
Ye Yuan, Jorge M. Gonçalves
2010 — conf
Robust dynamical network reconstruction.
CDC
Ye Yuan, Guy-Bart Stan, Sean Warnick, Jorge M. Gonçalves
2009 — conf
Decentralised final value theorem for discrete-time LTI systems with application to minimal-time distributed consensus.
CDC
Ye Yuan, Guy-Bart Vincent Stan, Ling Shi, Jorge M. Gonçalves
2009 — conf
Minimal dynamical structure realisations with application to network reconstruction from data.
CDC
Ye Yuan, Guy-Bart Vincent Stan, Sean Warnick, Jorge M. Gonçalves