Shaoshuai Mou

165 papers A* 3A 1C 18Misc 1Journal 105Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics.
CoRR
Wenjian Hao, Yuxuan Fang, Zehui Lu, Shaoshuai Mou
2026 J jnl
Model-Free Reinforcement Learning for Optimal Control of Switched Systems.
IEEE Trans Autom. Sci. Eng.
Chi Zhang, Can Li, Shaoshuai Mou
2026 J jnl
Neighboring extremal optimal control theory for parameter-dependent closed-loop laws.
Autom.
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2025 J jnl
A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning.
CoRR
Wenjian Hao, Zehui Lu, Nicolas Miguel, Shaoshuai Mou
2025 — conf
A Real-Time High C-Rate Lithium-Ion Battery Fast Charging Strategy.
CCTA
Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou
2025 J jnl
Corrections to "Deterministic Gossiping".
Proc. IEEE
Ji Liu, Brian D. O. Anderson, A. Stephen Morse, Shaoshuai Mou, Changbin Yu
2025 J jnl
Deep Koopman Learning using Noisy Data.
Trans. Mach. Learn. Res.
Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou
2025 J jnl
Distributed Optimization via Kernelized Multiarmed Bandits.
IEEE Trans. Autom. Control.
Ayush Rai, Shaoshuai Mou
2025 J jnl
Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures.
IEEE Trans. Control. Syst. Technol.
Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou
2025 A* conf
Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection.
CVPR
Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu
2025 J jnl
Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection.
CoRR
Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu
2025 C conf
Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft.
ACC
Hao Tu, Yebin Wang, Shaoshuai Mou, Huazhen Fang
2025 J jnl
Machine Learning-Driven Prediction of Lithium-Ion Battery Power Capability for eVTOL Aircraft.
CoRR
Hao Tu, Yebin Wang, Shaoshuai Mou, Huazhen Fang
2025 J jnl
Online Control-Informed Learning.
Trans. Mach. Learn. Res.
Zihao Liang, Tianyu Zhou, Zehui Lu, Shaoshuai Mou
2025 J jnl
Performance Index Shaping for Closed-loop Optimal Control.
CoRR
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2025 J jnl
Resilience for Distributed Consensus With Constraints.
IEEE Trans. Autom. Control.
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
2025 J jnl
Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots.
CoRR
Jose D. Hoyos, Tianyu Zhou, Zehui Lu, Shaoshuai Mou
2025 J jnl
Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots.
IEEE Trans Autom. Sci. Eng.
Jose D. Hoyos, Tianyu Zhou, Zehui Lu, Shaoshuai Mou
2025 J jnl
Safe Online Control-Informed Learning.
CoRR
Tianyu Zhou, Zihao Liang, Zehui Lu, Shaoshuai Mou
2025 J jnl
Safe Online Control-Informed Learning.
IEEE Control. Syst. Lett.
Tianyu Zhou, Zihao Liang, Zehui Lu, Shaoshuai Mou
2025 J jnl
Trajectory Prediction via Bayesian Intention Inference under Unknown Goals and Kinematics.
CoRR
Shunan Yin, Zehui Lu, Shaoshuai Mou
2024 J jnl
A Distributed Deep Koopman Learning Algorithm for Control.
CoRR
Wenjian Hao, Zehui Lu, Devesh Upadhyay, Shaoshuai Mou
2024 J jnl
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles.
CoRR
Jianwen Li, Hyunsang Park, Wenjian Hao, Lei Xin, Jalil Chavez-Galaviz, Ajinkya Chaudhary, Meredith Bloss, Kyle Pattison, Christopher Vo, Devesh Upadhyay, Shreyas Sundaram, Shaoshuai Mou, Nina Mahmoudian
2024 J jnl
Communication-Efficient and Resilient Distributed Q-Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
2024 J jnl
Deep Koopman Learning using the Noisy Data.
CoRR
Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou
2024 J jnl
Deep Koopman learning of nonlinear time-varying systems.
Autom.
Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou
2024 C conf
Distributed Algorithm for Edge Agreement Over Nonlinear Constraints.
ACC
Ayush Rai, Shaoshuai Mou
2024 — conf
Distributed Co-Design of Motors and Motions for Robotic Manipulators.
ECC
Zehui Lu, Yebin Wang, Yusuke Sakamoto, Shaoshuai Mou
2024 J jnl
Distributed Deep Koopman Learning for Nonlinear Dynamics.
CoRR
Wenjian Hao, Lili Wang, Ayush Rai, Shaoshuai Mou
2024 J jnl
Distributed Optimization under Edge Agreement with Application in Battery Network Management.
CoRR
Zehui Lu, Shaoshuai Mou
2024 J jnl
Distributed optimization under edge agreements: A continuous-time algorithm.
Syst. Control. Lett.
Zehui Lu, Shaoshuai Mou
2024 J jnl
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit.
CoRR
Yang Li, Dengyu Zhang, Junfan Chen, Ying Wen, Qingrui Zhang, Shaoshuai Mou, Wei Pan
2024 J jnl
Integrated Optimal Control for Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures.
CoRR
Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou
2024 — conf
Inverse Optimal Control with System Output.
ICPS
Zihao Liang, Shaoshuai Mou
2024 — conf
Multi-Robot Formation Control with Human-on-the-Loop.
ICPS
Tianyu Zhou, Zehui Lu, Shaoshuai Mou
2024 J jnl
Nonlinear Feedback Control Design via NEOC.
IEEE Control. Syst. Lett.
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2024 J jnl
Online Control-Informed Learning.
CoRR
Zihao Liang, Tianyu Zhou, Zehui Lu, Shaoshuai Mou
2024 J jnl
Parameter Tuning for Optimal Control of Switched Systems With Applications in Hypersonic Vehicles.
IEEE Control. Syst. Lett.
Shunan Yin, Ayush Rai, Shaoshuai Mou
2024 J jnl
Real-Time Multi-Robot Mission Planning in Cluttered Environment.
Robotics
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
2024 J jnl
Safe Region Multi-Agent Formation Control With Velocity Tracking.
Syst. Control. Lett.
Ayush Rai, Shaoshuai Mou
2024 A conf
Unsupervised Change Point Detection in Multivariate Time Series.
AISTATS
Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
2024 — conf
Visual Autonomous Quadrotor Navigation Using an Improved Artificial Potential Field.
ICPS
Jose D. Hoyos, Shaoshuai Mou
2023 — conf
A Data-Driven Approach for Inverse Optimal Control.
CDC
Zihao Liang, Wenjian Hao, Shaoshuai Mou
2023 J jnl
A Data-Driven Approach for Inverse Optimal Control.
CoRR
Zihao Liang, Wenjian Hao, Shaoshuai Mou
2023 J jnl
A Distributed Algorithm for Multi-Agent Optimization under Edge-Agreements.
CoRR
Zehui Lu, Shaoshuai Mou
2023 J jnl
A Distributed Algorithm for Solving Linear Equations in Clustered Multi-Agent Systems.
IEEE Control. Syst. Lett.
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2023 C conf
An Interleaved Algorithm for Integration of Robotic Task and Motion Planning.
ACC
Mengxue Hou, Yingke Li, Fumin Zhang, Shreyas Sundaram, Shaoshuai Mou
2023 — conf
Closed-Loop Neighboring Extremal Optimal Control Using HJ Equation.
CDC
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2023 J jnl
Consensus-Based Distributed Optimization Enhanced by Integral Feedback.
IEEE Trans. Autom. Control.
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2023 — conf
Distributed Algorithms for Edge-Agreements: More than Consensus.
CDC
Ayush Rai, Shaoshuai Mou
2023 J jnl
Distributed Optimization via Kernelized Multi-armed Bandits.
CoRR
Ayush Rai, Shaoshuai Mou
2023 J jnl
DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment.
CoRR
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
2023 J jnl
Learning From Human Directional Corrections.
IEEE Trans. Robotics
Wanxin Jin, Todd D. Murphey, Zehui Lu, Shaoshuai Mou
2023 J jnl
Learning From Sparse Demonstrations.
IEEE Trans. Robotics
Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou
2023 J jnl
Neighboring Extremal Optimal Control Theory for Parameter-Dependent Closed-loop Laws.
CoRR
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2023 J jnl
Policy Learning based on Deep Koopman Representation.
CoRR
Wenjian Hao, Paulo C. Heredia, Bowen Huang, Zehui Lu, Zihao Liang, Shaoshuai Mou
2023 J jnl
Safe Region Multi-Agent Formation Control With Velocity Tracking.
CoRR
Ayush Rai, Shaoshuai Mou
2023 C conf
Variable Sampling MPC via Differentiable Time-Warping Function.
ACC
Zehui Lu, Shaoshuai Mou
2023 J jnl
Variable Sampling MPC via Differentiable Time-Warping Function.
CoRR
Zehui Lu, Shaoshuai Mou
2022 — conf
An Iterative Method for Inverse Optimal Control.
ASCC
Zihao Liang, Wanxin Jin, Shaoshuai Mou
2022 — conf
Cooperative Tuning of Multi-Agent Optimal Control Systems.
CDC
Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson
2022 J jnl
Cooperative Tuning of Multi-Agent Optimal Control Systems.
CoRR
Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson
2022 J jnl
Deep Koopman Representation of Nonlinear Time Varying Systems.
CoRR
Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou
2022 J jnl
Distributed Control for an Urban Traffic Network.
IEEE Trans. Intell. Transp. Syst.
Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn
2022 — conf
Distributed Offline Reinforcement Learning.
CDC
Paulo Heredia, Jemin George, Shaoshuai Mou
2022 C conf
Distributed State Estimation for Nonlinear Systems with Unknown Parameters.
ACC
Paulo Heredia, Eloy García, Shaoshuai Mou
2022 J jnl
KD-EKF: A Kalman Decomposition Based Extended Kalman Filter for Multi-Robot Cooperative Localization.
CoRR
Ning Hao, Fenghua He, Chungeng Tian, Yu Yao, Shaoshuai Mou
2022 J jnl
Policies for risk-aware sensor data collection by mobile agents.
Autom.
Amritha Prasad, Jeffrey Hudack, Shaoshuai Mou, Shreyas Sundaram
2022 J jnl
Resilience for Distributed Consensus with Constraints.
CoRR
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
2021 J jnl
Consensus-based Distributed Optimization Enhanced by Integral Feedback.
CoRR
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2021 — conf
Distributed Algorithm with Resilience for Multi-Agent Task Allocation.
ICPS
Xuan Wang, Jeffrey Hudack, Shaoshuai Mou
2021 J jnl
Distributed inverse optimal control.
Autom.
Wanxin Jin, Shaoshuai Mou
2021 J jnl
Inverse optimal control from incomplete trajectory observations.
Int. J. Robotics Res.
Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche
2021 — conf
Multi-player Reach-Avoid Game in Dynamic Environment.
CCTA
Jason King Ching Lo, Eloy García, Shaoshuai Mou
2021 A* conf
Safe Pontryagin Differentiable Programming.
NeurIPS
Wanxin Jin, Shaoshuai Mou, George J. Pappas
2021 J jnl
Safe Pontryagin Differentiable Programming.
CoRR
Wanxin Jin, Shaoshuai Mou, George J. Pappas
2021 — conf
Towards Resilience for Multi-Agent QD-Learning.
CDC
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
2021 J jnl
Towards Resilience for Multi-Agent QD-Learning.
CoRR
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
2020 J jnl
Distributed traffic control for a large-scale urban network.
CoRR
Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn
2020 C conf
Finite-Sample Analysis of Distributed Q-learning for Multi-Agent Networks.
ACC
Paulo Heredia, Hasan Ghadialy, Shaoshuai Mou
2020 — conf
Finite-Sample Analysis of Multi-Agent Policy Evaluation with Kernelized Gradient Temporal Difference.
CDC
Paulo Heredia, Shaoshuai Mou
2020 J jnl
Finite-Time Distributed Linear Equation Solver for Solutions With Minimum $l_1$-Norm.
IEEE Trans. Autom. Control.
Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2020 J jnl
Inverse Optimal Control from Demonstration Segments.
CoRR
Wanxin Jin, Zihao Liang, Shaoshuai Mou
2020 J jnl
Learning from Incremental Directional Corrections.
CoRR
Wanxin Jin, Todd D. Murphey, Shaoshuai Mou
2020 J jnl
Learning from Sparse Demonstrations.
CoRR
Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou
2020 Misc conf
Modeling Piece-Wise Stationary Time Series.
ICASSP
Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
2020 C conf
More Consensus is not always Beneficial.
ACC
Xuan Wang, Shaoshuai Mou
2020 J jnl
Neural Certificates for Safe Control Policies.
CoRR
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2020 A* conf
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework.
NeurIPS
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2020 J jnl
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap.
CoRR
Somali Chaterji, Parinaz Naghizadeh, Muhammad Ashraful Alam, Saurabh Bagchi, Mung Chiang, David Corman, Brian J. Henz, Suman Jana, Na Li, Shaoshuai Mou, Meeko Oishi, Chunyi Peng, Tiark Rompf, Ashutosh Sabharwal, Shreyas Sundaram, James Weimer, Jennifer Weller
2020 J jnl
Scalable, Distributed Algorithms for Solving Linear Equations via Double-Layered Networks.
IEEE Trans. Autom. Control.
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2020 J jnl
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures.
IEEE Open J. Comput. Soc.
Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
2019 J jnl
A Distributed Algorithm for Least Squares Solutions.
IEEE Trans. Autom. Control.
Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless
2019 C conf
A Scalable Distributed algorithm for Least Squares Solutions in Double-layered Multi-agent Networks.
ACC
Xuan Wang, Shaoshuai Mou
2019 J jnl
Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints.
IEEE Trans. Fuzzy Syst.
Kangkang Sun, Shaoshuai Mou, Jianbin Qiu, Tong Wang, Huijun Gao
2019 — conf
Coordinated String Stability of Two Platoons.
ITSC
Jiazhi Song, Shaoshuai Mou
2019 J jnl
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures.
CoRR
Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari
2019 J jnl
Inverse Optimal Control for Multiphase Cost Functions.
IEEE Trans. Robotics
Wanxin Jin, Dana Kulic, Jonathan Feng-Shun Lin, Shaoshuai Mou, Sandra Hirche
2019 J jnl
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework.
CoRR
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
2019 — conf
Resilience for Consensus-based Distributed Algorithms in Hostile Environment
Allerton
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
2019 J jnl
Solving a system of linear equations: From centralized to distributed algorithms.
Annu. Rev. Control.
Peng Wang, Shaoshuai Mou, Jianming Lian, Wei Ren
2018 C conf
A Distributed Algorithm for Achieving the Conservation Principle.
ACC
Xuan Wang, Shaoshuai Mou
2018 — conf
A Distributed Algorithm with Scalar States for Solving Linear Equations.
CDC
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2018 J jnl
A Resilient Convex Combination for consensus-based distributed algorithms.
CoRR
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
2018 J jnl
Adaptive Fuzzy Observer Design for a Class of Switched Nonlinear Systems With Actuator and Sensor Faults.
IEEE Trans. Fuzzy Syst.
Shasha Fu, Jianbin Qiu, Li-Heng Chen, Shaoshuai Mou
2018 J jnl
Asynchronous Distributed Algorithms for Solving Linear Algebraic Equations.
IEEE Trans. Autom. Control.
Ji Liu, Shaoshuai Mou, A. Stephen Morse
2018 J jnl
Conservation and decay laws in distributed coordination control systems.
Autom.
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, Changbin Yu
2018 C conf
Distributed Algorithm for Achieving Minimum l1 Norm Solutions of Linear Equation.
ACC
Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2018 J jnl
Inverse Optimal Control with Incomplete Observations.
CoRR
Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche
2018 — conf
On the stability and applications of distance-based flexible formations.
CDC
Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou
2018 J jnl
On the stability and applications of distance-based flexible formations.
CoRR
Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou
2018 J jnl
Request-based gossiping without deadlocks.
Autom.
Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Brad Yu
2017 J jnl
A Distributed Algorithm for Least Square Solutions of Linear Equations.
CoRR
Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless
2017 J jnl
A Double-Layered Framework for Distributed Coordination in Solving Linear Equations.
CoRR
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2017 — conf
A distributed linear equation solver for least square solutions.
CDC
Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless
2017 J jnl
An Application of Invertibility of Boolean Control Networks to the Control of the Mammalian Cell Cycle.
IEEE ACM Trans. Comput. Biol. Bioinform.
Kuize Zhang, Lijun Zhang, Shaoshuai Mou
2017 C conf
An event-triggered consensus approach for distributed clock synchronization.
ACC
Eloy García, Shaoshuai Mou, Yongcan Cao, David W. Casbeer
2017 J jnl
Distributed Averaging Using Periodic Gossiping.
IEEE Trans. Autom. Control.
Changbin Yu, Brian D. O. Anderson, Shaoshuai Mou, Ji Liu, Fenghua He, A. Stephen Morse
2017 — conf
Distributed algorithms for the average bridge consensus.
CCTA
Shaoshuai Mou, Eloy García, David W. Casbeer
2017 J jnl
Eigenvalue Invariance of Inhomogeneous Matrix Products in Distributed Algorithms.
IEEE Control. Syst. Lett.
Shaoshuai Mou, Brian D. O. Anderson
2017 J jnl
Finite-Time Distributed Linear Equation Solver for Minimum $l_1$ Norm Solutions.
CoRR
Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
2017 C conf
Further discussions on a distributed algorithm for solving linear algebra equations.
ACC
Xuan Wang, Shaoshuai Mou, Dengfeng Sun
2017 J jnl
Improvement of a Distributed Algorithm for Solving Linear Equations.
IEEE Trans. Ind. Electron.
Xuan Wang, Shaoshuai Mou, Dengfeng Sun
2017 J jnl
Rigid Motions of 3-D Undirected Formations With Mismatch Between Desired Distances.
IEEE Trans. Autom. Control.
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, A. Stephen Morse
2016 J jnl
A distributed algorithm for efficiently solving linear equations and its applications (Special Issue JCW).
Syst. Control. Lett.
Shaoshuai Mou, Zhiyun Lin, Lili Wang, Daniel Fullmer, A. Stephen Morse
2016 J jnl
Convergence rate on periodic gossiping.
Inf. Sci.
Fenghua He, Shaoshuai Mou, Ji Liu, A. Stephen Morse
2016 J jnl
Exponential stability for formation control systems with generalized controllers: A unified approach.
Syst. Control. Lett.
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, Ming Cao
2016 — conf
Impacts of network topology on the performance of a Distributed Algorithm Solving Linear Equations.
CDC
Hong-Tai Cao, Travis E. Gibson, Shaoshuai Mou, Yang-Yu Liu
2016 J jnl
Multi-Timer Based Event Synchronization Control for Sensor Networks and Its Application.
IEEE Trans. Ind. Electron.
Jiahu Qin, Fangyuan Li, Shaoshuai Mou, Yu Kang
2016 J jnl
Reprint of "A distributed algorithm for efficiently solving linear equations and its applications (Special Issue JCW)".
Syst. Control. Lett.
Shaoshuai Mou, Zhiyun Lin, Lili Wang, Daniel Fullmer, A. Stephen Morse
2016 J jnl
Request-Based Gossiping without Deadlocks.
CoRR
Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Yu
2016 C conf
Synchronization of interconnected embedded systems via timer interrupts.
ICARCV
Fangyuan Li, Jiahu Qin, Shaoshuai Mou, Yu Kang
2015 J jnl
A Distributed Algorithm for Solving a Linear Algebraic Equation.
CoRR
Shaoshuai Mou, Ji Liu, A. Stephen Morse
2015 J jnl
A Distributed Algorithm for Solving a Linear Algebraic Equation.
IEEE Trans. Autom. Control.
Shaoshuai Mou, Ji Liu, A. Stephen Morse
2015 — conf
A distributed algorithm for efficiently solving linear equations.
CDC
Shaoshuai Mou, A. Stephen Morse, Zhiyun Lin, Lili Wang, Daniel Fullmer
2015 — conf
Convergence rate of optimal periodic gossiping on ring graphs.
CDC
Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson
2015 J jnl
Decentralized gradient algorithm for solution of a linear equation.
CoRR
Brian D. O. Anderson, Shaoshuai Mou, A. Stephen Morse, Uwe Helmke
2015 — conf
How retroactivity impacts the robustness of genetic networks.
CDC
Shaoshuai Mou, Domitilla Del Vecchio
2015 J jnl
Target-point formation control.
Autom.
Shaoshuai Mou, Ming Cao, A. Stephen Morse
2015 J jnl
Undirected Rigid Formations are Problematic.
CoRR
Shaoshuai Mou, A. Stephen Morse, Mohamed-Ali Belabbas, Zhiyong Sun, Brian D. O. Anderson
2014 — conf
Convergence analysis for rigid formation control with unrealizable shapes: The 3 agent case.
AuCC
Zhiyong Sun, Shaoshuai Mou, Uwe Helmke, Brian D. O. Anderson
2014 C conf
Finite-time distributed averaging.
ACC
Shaoshuai Mou, A. Stephen Morse
2014 C conf
Fix the non-robustness issue for a class of minimally rigid undirected formations.
ACC
Shaoshuai Mou, A. Stephen Morse
2014 — conf
Formation movements in minimally rigid formation control with mismatched mutual distances.
CDC
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, A. Stephen Morse
2014 — conf
Geometrical methods for mismatched formation control.
CDC
Uwe Helmke, Shaoshuai Mou, Zhiyong Sun, Brian D. O. Anderson
2014 — conf
Toward robust control of minimally rigid undirected formations.
CDC
Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson
2014 — conf
Undirected rigid formations are problematic.
CDC
Shaoshuai Mou, A. Stephen Morse, Mohamed-Ali Belabbas, Brian D. O. Anderson
2013 — conf
A distributed algorithm for solving a linear algebraic equation.
Allerton
Shaoshuai Mou, Ji Liu, A. Stephen Morse
2013 — conf
A fixed-neighbor, distributed algorithm for solving a linear algebraic equation.
ECC
Shaoshuai Mou, A. Stephen Morse
2013 — conf
An asynchronous distributed algorithm for solving a linear algebraic equation.
CDC
Ji Liu, Shaoshuai Mou, A. Stephen Morse
2013 J jnl
Distributed Averaging Using Compensation.
IEEE Commun. Lett.
Shaoshuai Mou, Ming Cao
2013 — conf
Non-robustness of gradient control for 3-D undirected formations with distance mismatch.
AuCC
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, A. Stephen Morse
2013 C conf
Towards optimal convex combination rules for gossiping.
ACC
Oren Mangoubi, Shaoshuai Mou, Ji Liu, A. Stephen Morse
2012 — conf
Robustness issues with undirected formations.
CDC
Mohamed-Ali Belabbas, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson
2011 J jnl
Deterministic Gossiping.
Proc. IEEE
Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Yu
2011 — conf
Request-based gossiping.
CDC/ECC
Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Yu
2010 — conf
Deterministic gossiping with a periodic protocol.
CDC
Shaoshuai Mou, Changbin Yu, Brian D. O. Anderson, A. Stephen Morse
2009 J jnl
New passivity criteria for neural networks with time-varying delay.
Neural Networks
Zexu Zhang, Shaoshuai Mou, James Lam, Huijun Gao
2008 J jnl
A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay.
IEEE Trans. Neural Networks
Shaoshuai Mou, Huijun Gao, James Lam, Wenyi Qiang
2008 J jnl
Asymptotic stability analysis of neural networks with successive time delay components.
Neurocomputing
Yu Zhao, Huijun Gao, Shaoshuai Mou
2008 J jnl
Further improvement on synchronization stability of complex networks with coupling delays.
Int. J. Comput. Math.
Shaoshuai Mou, Huijun Gao, Yu Zhao, Wenyi Qiang
2008 J jnl
New Delay-Dependent Exponential Stability for Neural Networks With Time Delay.
IEEE Trans. Syst. Man Cybern. Part B
Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Ke Chen
2008 J jnl
State estimation for discrete-time neural networks with time-varying delays.
Neurocomputing
Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Zhongyang Fei
2006 C conf
New Robust H∞ and L2-L∞ Filtering for LPV Systems with Both Discrete and Distributed Delays.
ACC
Huijun Gao, Ligang Wu, Peng Shi, Shaoshuai Mou, Changhong Wang
2006 C conf
Stability and stabilization of switched linear discrete-time systems with polytopic uncertainties.
ACC
Huijun Gao, Lixian Zhang, Peng Shi, Shaoshuai Mou, Changhong Wang