Shaoshuai Mou

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 101

Top Venues

CoRR

CDC

ACC

IEEE Trans. Autom. Control.

Publications

Zehui Lu, Hao Tu, Huazhen Fang, Yebin Wang, Shaoshuai Mou
Integrated Optimal Control for Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures. CoRR (2024)
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
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles. CoRR (2024)
Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou
Deep Koopman Learning using the Noisy Data. CoRR (2024)
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
Communication-Efficient and Resilient Distributed Q-Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Ayush Rai, Shaoshuai Mou
Safe Region Multi-Agent Formation Control With Velocity Tracking. Syst. Control. Lett. 186 (2024)
Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou
Deep Koopman learning of nonlinear time-varying systems. Autom. 159 (2024)
Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
Unsupervised Change Point Detection in Multivariate Time Series. AISTATS (2024)
Zehui Lu, Shaoshuai Mou
Distributed optimization under edge agreements: A continuous-time algorithm. Syst. Control. Lett. 183 (2024)
Zehui Lu, Yebin Wang, Yusuke Sakamoto, Shaoshuai Mou
Distributed Co-Design of Motors and Motions for Robotic Manipulators. ECC (2024)
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
Real-Time Multi-Robot Mission Planning in Cluttered Environment. Robotics 13 (3) (2024)
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
Neighboring Extremal Optimal Control Theory for Parameter-Dependent Closed-loop Laws. CoRR (2023)
Wenjian Hao, Zehui Lu, Zihao Liang, Tianyu Zhou, Shaoshuai Mou
Adaptive Policy Learning to Additional Tasks. CoRR (2023)
Ayush Rai, Shaoshuai Mou
Safe Region Multi-Agent Formation Control With Velocity Tracking. CoRR (2023)
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
A Distributed Algorithm for Solving Linear Equations in Clustered Multi-Agent Systems. IEEE Control. Syst. Lett. 7 (2023)
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
Closed-Loop Neighboring Extremal Optimal Control Using HJ Equation. CDC (2023)
Wenjian Hao, Paulo C. Heredia, Bowen Huang, Zehui Lu, Zihao Liang, Shaoshuai Mou
Policy Learning based on Deep Koopman Representation. CoRR (2023)
Zihao Liang, Wenjian Hao, Shaoshuai Mou
A Data-Driven Approach for Inverse Optimal Control. CoRR (2023)
Mengxue Hou, Yingke Li, Fumin Zhang, Shreyas Sundaram, Shaoshuai Mou
An Interleaved Algorithm for Integration of Robotic Task and Motion Planning. ACC (2023)
Zehui Lu, Shaoshuai Mou
Variable Sampling MPC via Differentiable Time-Warping Function. CoRR (2023)
Ayush Rai, Shaoshuai Mou
Distributed Algorithms for Edge-Agreements: More than Consensus. CDC (2023)
Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou
Learning From Sparse Demonstrations. IEEE Trans. Robotics 39 (1) (2023)
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Consensus-Based Distributed Optimization Enhanced by Integral Feedback. IEEE Trans. Autom. Control. 68 (3) (2023)
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment. CoRR (2023)
Ayush Rai, Shaoshuai Mou
Distributed Optimization via Kernelized Multi-armed Bandits. CoRR (2023)
Zihao Liang, Wenjian Hao, Shaoshuai Mou
A Data-Driven Approach for Inverse Optimal Control. CDC (2023)
Wanxin Jin, Todd D. Murphey, Zehui Lu, Shaoshuai Mou
Learning From Human Directional Corrections. IEEE Trans. Robotics 39 (1) (2023)
Zehui Lu, Shaoshuai Mou
Variable Sampling MPC via Differentiable Time-Warping Function. ACC (2023)
Zehui Lu, Shaoshuai Mou
A Distributed Algorithm for Multi-Agent Optimization under Edge-Agreements. CoRR (2023)
Amritha Prasad, Jeffrey Hudack, Shaoshuai Mou, Shreyas Sundaram
Policies for risk-aware sensor data collection by mobile agents. Autom. 142 (2022)
Ning Hao, Fenghua He, Chungeng Tian, Yu Yao, Shaoshuai Mou
KD-EKF: A Kalman Decomposition Based Extended Kalman Filter for Multi-Robot Cooperative Localization. CoRR (2022)
Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou
Deep Koopman Representation of Nonlinear Time Varying Systems. CoRR (2022)
Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn
Distributed Control for an Urban Traffic Network. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson
Cooperative Tuning of Multi-Agent Optimal Control Systems. CoRR (2022)
Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson
Cooperative Tuning of Multi-Agent Optimal Control Systems. CDC (2022)
Zihao Liang, Wanxin Jin, Shaoshuai Mou
An Iterative Method for Inverse Optimal Control. ASCC (2022)
Paulo Heredia, Jemin George, Shaoshuai Mou
Distributed Offline Reinforcement Learning. CDC (2022)
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
Resilience for Distributed Consensus with Constraints. CoRR (2022)
Paulo Heredia, Eloy García, Shaoshuai Mou
Distributed State Estimation for Nonlinear Systems with Unknown Parameters. ACC (2022)
Xuan Wang, Jeffrey Hudack, Shaoshuai Mou
Distributed Algorithm with Resilience for Multi-Agent Task Allocation. ICPS (2021)
Wanxin Jin, Shaoshuai Mou, George J. Pappas
Safe Pontryagin Differentiable Programming. NeurIPS (2021)
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
Towards Resilience for Multi-Agent QD-Learning. CoRR (2021)
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Consensus-based Distributed Optimization Enhanced by Integral Feedback. CoRR (2021)
Wanxin Jin, Shaoshuai Mou
Distributed inverse optimal control. Autom. 129 (2021)
Yijing Xie, Shaoshuai Mou, Shreyas Sundaram
Towards Resilience for Multi-Agent QD-Learning. CDC (2021)
Wanxin Jin, Shaoshuai Mou, George J. Pappas
Safe Pontryagin Differentiable Programming. CoRR (2021)
Jason King Ching Lo, Eloy García, Shaoshuai Mou
Multi-player Reach-Avoid Game in Dynamic Environment. CCTA (2021)
Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche
Inverse optimal control from incomplete trajectory observations. Int. J. Robotics Res. 40 (6-7) (2021)
Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn
Distributed traffic control for a large-scale urban network. CoRR (2020)
Wanxin Jin, Zihao Liang, Shaoshuai Mou
Inverse Optimal Control from Demonstration Segments. CoRR (2020)
Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Finite-Time Distributed Linear Equation Solver for Solutions With Minimum $l_1$-Norm. IEEE Trans. Autom. Control. 65 (4) (2020)
Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou
Learning from Sparse Demonstrations. CoRR (2020)
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
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap. CoRR (2020)
Paulo Heredia, Shaoshuai Mou
Finite-Sample Analysis of Multi-Agent Policy Evaluation with Kernelized Gradient Temporal Difference. CDC (2020)
Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn
Modeling Piece-Wise Stationary Time Series. ICASSP (2020)
Wanxin Jin, Todd D. Murphey, Shaoshuai Mou
Learning from Incremental Directional Corrections. CoRR (2020)
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Scalable, Distributed Algorithms for Solving Linear Equations via Double-Layered Networks. IEEE Trans. Autom. Control. 65 (3) (2020)
Xuan Wang, Shaoshuai Mou
More Consensus is not always Beneficial. ACC (2020)
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
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1 (2020)
Paulo Heredia, Hasan Ghadialy, Shaoshuai Mou
Finite-Sample Analysis of Distributed Q-learning for Multi-Agent Networks. ACC (2020)
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
Neural Certificates for Safe Control Policies. CoRR (2020)
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. NeurIPS (2020)
Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless
A Distributed Algorithm for Least Squares Solutions. IEEE Trans. Autom. Control. 64 (10) (2019)
Jiazhi Song, Shaoshuai Mou
Coordinated String Stability of Two Platoons. ITSC (2019)
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
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR (2019)
Wanxin Jin, Dana Kulic, Jonathan Feng-Shun Lin, Shaoshuai Mou, Sandra Hirche
Inverse Optimal Control for Multiphase Cost Functions. IEEE Trans. Robotics 35 (6) (2019)
Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. CoRR (2019)
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
. Allerton (2019)
Peng Wang, Shaoshuai Mou, Jianming Lian, Wei Ren
Solving a system of linear equations: From centralized to distributed algorithms. Annu. Rev. Control. 47 (2019)
Kangkang Sun, Shaoshuai Mou, Jianbin Qiu, Tong Wang, Huijun Gao
Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints. IEEE Trans. Fuzzy Syst. 27 (8) (2019)
Xuan Wang, Shaoshuai Mou
A Scalable Distributed algorithm for Least Squares Solutions in Double-layered Multi-agent Networks. ACC (2019)
Xuan Wang, Shaoshuai Mou
A Distributed Algorithm for Achieving the Conservation Principle. ACC (2018)
Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou
On the stability and applications of distance-based flexible formations. CDC (2018)
Ji Liu, Shaoshuai Mou, A. Stephen Morse
Asynchronous Distributed Algorithms for Solving Linear Algebraic Equations. IEEE Trans. Autom. Control. 63 (2) (2018)
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, Changbin Yu
Conservation and decay laws in distributed coordination control systems. Autom. 87 (2018)
Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Distributed Algorithm for Achieving Minimum l1 Norm Solutions of Linear Equation. ACC (2018)
Shasha Fu, Jianbin Qiu, Li-Heng Chen, Shaoshuai Mou
Adaptive Fuzzy Observer Design for a Class of Switched Nonlinear Systems With Actuator and Sensor Faults. IEEE Trans. Fuzzy Syst. 26 (6) (2018)
Xuan Wang, Shaoshuai Mou, Shreyas Sundaram
A Resilient Convex Combination for consensus-based distributed algorithms. CoRR (2018)
Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche
Inverse Optimal Control with Incomplete Observations. CoRR (2018)
Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou
On the stability and applications of distance-based flexible formations. CoRR (2018)
Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Brad Yu
Request-based gossiping without deadlocks. Autom. 93 (2018)
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
A Distributed Algorithm with Scalar States for Solving Linear Equations. CDC (2018)
Kuize Zhang, Lijun Zhang, Shaoshuai Mou
An Application of Invertibility of Boolean Control Networks to the Control of the Mammalian Cell Cycle. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (1) (2017)
Shaoshuai Mou, Brian D. O. Anderson
Eigenvalue Invariance of Inhomogeneous Matrix Products in Distributed Algorithms. IEEE Control. Syst. Lett. 1 (1) (2017)
Xuan Wang, Shaoshuai Mou, Dengfeng Sun
Improvement of a Distributed Algorithm for Solving Linear Equations. IEEE Trans. Ind. Electron. 64 (4) (2017)
Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
A Double-Layered Framework for Distributed Coordination in Solving Linear Equations. CoRR (2017)
Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless
A distributed linear equation solver for least square solutions. CDC (2017)
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, A. Stephen Morse
Rigid Motions of 3-D Undirected Formations With Mismatch Between Desired Distances. IEEE Trans. Autom. Control. 62 (8) (2017)
Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless
A Distributed Algorithm for Least Square Solutions of Linear Equations. CoRR (2017)
Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson
Finite-Time Distributed Linear Equation Solver for Minimum $l_1$ Norm Solutions. CoRR (2017)
Changbin Yu, Brian D. O. Anderson, Shaoshuai Mou, Ji Liu, Fenghua He, A. Stephen Morse
Distributed Averaging Using Periodic Gossiping. IEEE Trans. Autom. Control. 62 (8) (2017)
Xuan Wang, Shaoshuai Mou, Dengfeng Sun
Further discussions on a distributed algorithm for solving linear algebra equations. ACC (2017)
Shaoshuai Mou, Eloy García, David W. Casbeer
Distributed algorithms for the average bridge consensus. CCTA (2017)
Eloy García, Shaoshuai Mou, Yongcan Cao, David W. Casbeer
An event-triggered consensus approach for distributed clock synchronization. ACC (2017)
Hong-Tai Cao, Travis E. Gibson, Shaoshuai Mou, Yang-Yu Liu
Impacts of network topology on the performance of a Distributed Algorithm Solving Linear Equations. CDC (2016)
Fangyuan Li, Jiahu Qin, Shaoshuai Mou, Yu Kang
Synchronization of interconnected embedded systems via timer interrupts. ICARCV (2016)
Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, Ming Cao
Exponential stability for formation control systems with generalized controllers: A unified approach. Syst. Control. Lett. 93 (2016)
Fenghua He, Shaoshuai Mou, Ji Liu, A. Stephen Morse
Convergence rate on periodic gossiping. Inf. Sci. (2016)
Shaoshuai Mou, Zhiyun Lin, Lili Wang, Daniel Fullmer, A. Stephen Morse
Reprint of "A distributed algorithm for efficiently solving linear equations and its applications (Special Issue JCW)". Syst. Control. Lett. 95 (2016)
Shaoshuai Mou, Zhiyun Lin, Lili Wang, Daniel Fullmer, A. Stephen Morse
A distributed algorithm for efficiently solving linear equations and its applications (Special Issue JCW). Syst. Control. Lett. 91 (2016)
Jiahu Qin, Fangyuan Li, Shaoshuai Mou, Yu Kang
Multi-Timer Based Event Synchronization Control for Sensor Networks and Its Application. IEEE Trans. Ind. Electron. 63 (12) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shaoshuai Mou