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Shaoshuai Mou
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2020 – today
- 2024
- [j45]Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou:
Deep Koopman learning of nonlinear time-varying systems. Autom. 159: 111372 (2024) - [j44]Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson:
Nonlinear Feedback Control Design via NEOC. IEEE Control. Syst. Lett. 8: 2247-2252 (2024) - [j43]Zehui Lu, Tianyu Zhou, Shaoshuai Mou:
Real-Time Multi-Robot Mission Planning in Cluttered Environment. Robotics 13(3): 40 (2024) - [j42]Zehui Lu, Shaoshuai Mou:
Distributed optimization under edge agreements: A continuous-time algorithm. Syst. Control. Lett. 183: 105698 (2024) - [j41]Ayush Rai, Shaoshuai Mou:
Safe Region Multi-Agent Formation Control With Velocity Tracking. Syst. Control. Lett. 186: 105776 (2024) - [j40]Yijing Xie, Shaoshuai Mou, Shreyas Sundaram:
Communication-Efficient and Resilient Distributed Q-Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3351-3364 (2024) - [c57]Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn:
Unsupervised Change Point Detection in Multivariate Time Series. AISTATS 2024: 3844-3852 - [c56]Ayush Rai, Shaoshuai Mou:
Distributed Algorithm for Edge Agreement Over Nonlinear Constraints. ACC 2024: 2047-2052 - [c55]Zehui Lu, Yebin Wang, Yusuke Sakamoto, Shaoshuai Mou:
Distributed Co-Design of Motors and Motions for Robotic Manipulators. ECC 2024: 1366-1373 - [c54]Jose D. Hoyos, Shaoshuai Mou:
Visual Autonomous Quadrotor Navigation Using an Improved Artificial Potential Field. ICPS 2024: 1-8 - [c53]Zihao Liang, Shaoshuai Mou:
Inverse Optimal Control with System Output. ICPS 2024: 1-6 - [c52]Tianyu Zhou, Zehui Lu, Shaoshuai Mou:
Multi-Robot Formation Control with Human-on-the-Loop. ICPS 2024: 1-6 - [i41]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 abs/2403.05972 (2024) - [i40]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 abs/2404.04358 (2024) - [i39]Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou:
Deep Koopman Learning using the Noisy Data. CoRR abs/2405.16649 (2024) - [i38]Zehui Lu, Shaoshuai Mou:
Distributed Optimization under Edge Agreement with Application in Battery Network Management. CoRR abs/2409.00936 (2024) - [i37]Yang Li, Dengyu Zhang, Junfan Chen, Ying Wen, Qingrui Zhang, Shaoshuai Mou, Wei Pan:
HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit. CoRR abs/2409.08767 (2024) - [i36]Wenjian Hao, Lili Wang, Ayush Rai, Shaoshuai Mou:
Distributed Deep Koopman Learning for Nonlinear Dynamics. CoRR abs/2409.11586 (2024) - [i35]Zihao Liang, Tianyu Zhou, Zehui Lu, Shaoshuai Mou:
Online Control-Informed Learning. CoRR abs/2410.03924 (2024) - 2023
- [j39]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: 1909-1914 (2023) - [j38]Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
Consensus-Based Distributed Optimization Enhanced by Integral Feedback. IEEE Trans. Autom. Control. 68(3): 1894-1901 (2023) - [j37]Wanxin Jin, Todd D. Murphey, Zehui Lu, Shaoshuai Mou:
Learning From Human Directional Corrections. IEEE Trans. Robotics 39(1): 625-644 (2023) - [j36]Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou:
Learning From Sparse Demonstrations. IEEE Trans. Robotics 39(1): 645-664 (2023) - [c51]Zehui Lu, Shaoshuai Mou:
Variable Sampling MPC via Differentiable Time-Warping Function. ACC 2023: 533-538 - [c50]Mengxue Hou, Yingke Li, Fumin Zhang, Shreyas Sundaram, Shaoshuai Mou:
An Interleaved Algorithm for Integration of Robotic Task and Motion Planning. ACC 2023: 539-544 - [c49]Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson:
Closed-Loop Neighboring Extremal Optimal Control Using HJ Equation. CDC 2023: 3270-3275 - [c48]Zihao Liang, Wenjian Hao, Shaoshuai Mou:
A Data-Driven Approach for Inverse Optimal Control. CDC 2023: 3632-3637 - [c47]Ayush Rai, Shaoshuai Mou:
Distributed Algorithms for Edge-Agreements: More than Consensus. CDC 2023: 4417-4422 - [i34]Zehui Lu, Shaoshuai Mou:
Variable Sampling MPC via Differentiable Time-Warping Function. CoRR abs/2301.08397 (2023) - [i33]Zehui Lu, Tianyu Zhou, Shaoshuai Mou:
DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment. CoRR abs/2302.14289 (2023) - [i32]Zihao Liang, Wenjian Hao, Shaoshuai Mou:
A Data-Driven Approach for Inverse Optimal Control. CoRR abs/2304.00100 (2023) - [i31]Wenjian Hao, Paulo C. Heredia, Bowen Huang, Zehui Lu, Zihao Liang, Shaoshuai Mou:
Policy Learning based on Deep Koopman Representation. CoRR abs/2305.15188 (2023) - [i30]Wenjian Hao, Zehui Lu, Zihao Liang, Tianyu Zhou, Shaoshuai Mou:
Adaptive Policy Learning to Additional Tasks. CoRR abs/2305.15193 (2023) - [i29]Zehui Lu, Shaoshuai Mou:
A Distributed Algorithm for Multi-Agent Optimization under Edge-Agreements. CoRR abs/2305.17240 (2023) - [i28]Ayush Rai, Shaoshuai Mou:
Safe Region Multi-Agent Formation Control With Velocity Tracking. CoRR abs/2310.09681 (2023) - [i27]Ayush Rai, Shaoshuai Mou:
Distributed Optimization via Kernelized Multi-armed Bandits. CoRR abs/2312.04719 (2023) - [i26]Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson:
Neighboring Extremal Optimal Control Theory for Parameter-Dependent Closed-loop Laws. CoRR abs/2312.04733 (2023) - 2022
- [j35]Amritha Prasad, Jeffrey Hudack, Shaoshuai Mou, Shreyas Sundaram:
Policies for risk-aware sensor data collection by mobile agents. Autom. 142: 110391 (2022) - [j34]Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn:
Distributed Control for an Urban Traffic Network. IEEE Trans. Intell. Transp. Syst. 23(12): 22937-22953 (2022) - [c46]Paulo Heredia, Eloy García, Shaoshuai Mou:
Distributed State Estimation for Nonlinear Systems with Unknown Parameters. ACC 2022: 96-101 - [c45]Zihao Liang, Wanxin Jin, Shaoshuai Mou:
An Iterative Method for Inverse Optimal Control. ASCC 2022: 959-964 - [c44]Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson:
Cooperative Tuning of Multi-Agent Optimal Control Systems. CDC 2022: 571-576 - [c43]Paulo Heredia, Jemin George, Shaoshuai Mou:
Distributed Offline Reinforcement Learning. CDC 2022: 4621-4626 - [i25]Xuan Wang, Shaoshuai Mou, Shreyas Sundaram:
Resilience for Distributed Consensus with Constraints. CoRR abs/2206.05662 (2022) - [i24]Zehui Lu, Wanxin Jin, Shaoshuai Mou, Brian D. O. Anderson:
Cooperative Tuning of Multi-Agent Optimal Control Systems. CoRR abs/2209.12017 (2022) - [i23]Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou:
Deep Koopman Representation of Nonlinear Time Varying Systems. CoRR abs/2210.06272 (2022) - [i22]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 abs/2210.16086 (2022) - 2021
- [j33]Wanxin Jin, Shaoshuai Mou:
Distributed inverse optimal control. Autom. 129: 109658 (2021) - [j32]Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche:
Inverse optimal control from incomplete trajectory observations. Int. J. Robotics Res. 40(6-7) (2021) - [c42]Jason King Ching Lo, Eloy García, Shaoshuai Mou:
Multi-player Reach-Avoid Game in Dynamic Environment. CCTA 2021: 380-385 - [c41]Yijing Xie, Shaoshuai Mou, Shreyas Sundaram:
Towards Resilience for Multi-Agent QD-Learning. CDC 2021: 1250-1255 - [c40]Xuan Wang, Jeffrey Hudack, Shaoshuai Mou:
Distributed Algorithm with Resilience for Multi-Agent Task Allocation. ICPS 2021: 112-117 - [c39]Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. NeurIPS 2021: 16034-16050 - [i21]Yijing Xie, Shaoshuai Mou, Shreyas Sundaram:
Towards Resilience for Multi-Agent QD-Learning. CoRR abs/2104.03153 (2021) - [i20]Wanxin Jin, Shaoshuai Mou, George J. Pappas:
Safe Pontryagin Differentiable Programming. CoRR abs/2105.14937 (2021) - [i19]Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
Consensus-based Distributed Optimization Enhanced by Integral Feedback. CoRR abs/2111.09346 (2021) - 2020
- [j31]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: 155-172 (2020) - [j30]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): 1132-1143 (2020) - [j29]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): 1691-1696 (2020) - [c38]Xuan Wang, Shaoshuai Mou:
More Consensus is not always Beneficial. ACC 2020: 3273-3278 - [c37]Paulo Heredia, Hasan Ghadialy, Shaoshuai Mou:
Finite-Sample Analysis of Distributed Q-learning for Multi-Agent Networks. ACC 2020: 3511-3516 - [c36]Paulo Heredia, Shaoshuai Mou:
Finite-Sample Analysis of Multi-Agent Policy Evaluation with Kernelized Gradient Temporal Difference. CDC 2020: 5647-5652 - [c35]Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn:
Modeling Piece-Wise Stationary Time Series. ICASSP 2020: 3817-3821 - [c34]Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. NeurIPS 2020 - [i18]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 abs/2001.00090 (2020) - [i17]Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou, Hyo-Sung Ahn:
Distributed traffic control for a large-scale urban network. CoRR abs/2005.02007 (2020) - [i16]Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Neural Certificates for Safe Control Policies. CoRR abs/2006.08465 (2020) - [i15]Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou:
Learning from Sparse Demonstrations. CoRR abs/2008.02159 (2020) - [i14]Wanxin Jin, Zihao Liang, Shaoshuai Mou:
Inverse Optimal Control from Demonstration Segments. CoRR abs/2010.15034 (2020) - [i13]Wanxin Jin, Todd D. Murphey, Shaoshuai Mou:
Learning from Incremental Directional Corrections. CoRR abs/2011.15014 (2020)
2010 – 2019
- 2019
- [j28]Peng Wang, Shaoshuai Mou, Jianming Lian, Wei Ren:
Solving a system of linear equations: From centralized to distributed algorithms. Annu. Rev. Control. 47: 306-322 (2019) - [j27]Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless:
A Distributed Algorithm for Least Squares Solutions. IEEE Trans. Autom. Control. 64(10): 4217-4222 (2019) - [j26]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): 1587-1601 (2019) - [j25]Wanxin Jin, Dana Kulic, Jonathan Feng-Shun Lin, Shaoshuai Mou, Sandra Hirche:
Inverse Optimal Control for Multiphase Cost Functions. IEEE Trans. Robotics 35(6): 1387-1398 (2019) - [c33]Xuan Wang, Shaoshuai Mou, Shreyas Sundaram:
Resilience for Consensus-based Distributed Algorithms in Hostile Environment†. Allerton 2019: 7 - [c32]Xuan Wang, Shaoshuai Mou:
A Scalable Distributed algorithm for Least Squares Solutions in Double-layered Multi-agent Networks. ACC 2019: 90-95 - [c31]Jiazhi Song, Shaoshuai Mou:
Coordinated String Stability of Two Platoons. ITSC 2019: 3213-3217 - [i12]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 abs/1912.11598 (2019) - [i11]Wanxin Jin, Zhaoran Wang, Zhuoran Yang, Shaoshuai Mou:
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework. CoRR abs/1912.12970 (2019) - 2018
- [j24]Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, Changbin Yu:
Conservation and decay laws in distributed coordination control systems. Autom. 87: 1-7 (2018) - [j23]Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Brad Yu:
Request-based gossiping without deadlocks. Autom. 93: 454-461 (2018) - [j22]Ji Liu, Shaoshuai Mou, A. Stephen Morse:
Asynchronous Distributed Algorithms for Solving Linear Algebraic Equations. IEEE Trans. Autom. Control. 63(2): 372-385 (2018) - [j21]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): 3730-3742 (2018) - [c30]Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
Distributed Algorithm for Achieving Minimum l1 Norm Solutions of Linear Equation. ACC 2018: 5857-5862 - [c29]Xuan Wang, Shaoshuai Mou:
A Distributed Algorithm for Achieving the Conservation Principle. ACC 2018: 5863-5867 - [c28]Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou:
On the stability and applications of distance-based flexible formations. CDC 2018: 1700-1705 - [c27]Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
A Distributed Algorithm with Scalar States for Solving Linear Equations. CDC 2018: 2861-2865 - [i10]Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche:
Inverse Optimal Control with Incomplete Observations. CoRR abs/1803.07696 (2018) - [i9]Xuan Wang, Shaoshuai Mou, Shreyas Sundaram:
A Resilient Convex Combination for consensus-based distributed algorithms. CoRR abs/1806.10271 (2018) - [i8]Héctor García de Marina, Zhiyong Sun, Shaoshuai Mou:
On the stability and applications of distance-based flexible formations. CoRR abs/1808.04594 (2018) - 2017
- [j20]Shaoshuai Mou, Brian D. O. Anderson:
Eigenvalue Invariance of Inhomogeneous Matrix Products in Distributed Algorithms. IEEE Control. Syst. Lett. 1(1): 8-13 (2017) - [j19]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): 4151-4158 (2017) - [j18]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): 4282-4289 (2017) - [j17]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): 225-229 (2017) - [j16]Xuan Wang, Shaoshuai Mou, Dengfeng Sun:
Improvement of a Distributed Algorithm for Solving Linear Equations. IEEE Trans. Ind. Electron. 64(4): 3113-3117 (2017) - [c26]Eloy García, Shaoshuai Mou, Yongcan Cao, David W. Casbeer:
An event-triggered consensus approach for distributed clock synchronization. ACC 2017: 279-284 - [c25]Xuan Wang, Shaoshuai Mou, Dengfeng Sun:
Further discussions on a distributed algorithm for solving linear algebra equations. ACC 2017: 4274-4278 - [c24]Shaoshuai Mou, Eloy García, David W. Casbeer:
Distributed algorithms for the average bridge consensus. CCTA 2017: 1710-1715 - [c23]Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless:
A distributed linear equation solver for least square solutions. CDC 2017: 5955-5960 - [i7]Jingqiu Zhou, Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
Finite-Time Distributed Linear Equation Solver for Minimum $l_1$ Norm Solutions. CoRR abs/1709.10154 (2017) - [i6]Xuan Wang, Jingqiu Zhou, Shaoshuai Mou, Martin J. Corless:
A Distributed Algorithm for Least Square Solutions of Linear Equations. CoRR abs/1709.10157 (2017) - [i5]Xuan Wang, Shaoshuai Mou, Brian D. O. Anderson:
A Double-Layered Framework for Distributed Coordination in Solving Linear Equations. CoRR abs/1711.10947 (2017) - 2016
- [j15]Fenghua He, Shaoshuai Mou, Ji Liu, A. Stephen Morse:
Convergence rate on periodic gossiping. Inf. Sci. 364-365: 111-125 (2016) - [j14]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: 21-27 (2016) - [j13]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: 50-57 (2016) - [j12]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: 46-52 (2016) - [j11]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): 7765-7775 (2016) - [c22]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: 1733-1738 - [c21]Fangyuan Li, Jiahu Qin, Shaoshuai Mou, Yu Kang:
Synchronization of interconnected embedded systems via timer interrupts. ICARCV 2016: 1-5 - [i4]Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Yu:
Request-Based Gossiping without Deadlocks. CoRR abs/1612.08463 (2016) - 2015
- [j10]Shaoshuai Mou, Ming Cao, A. Stephen Morse:
Target-point formation control. Autom. 61: 113-118 (2015) - [j9]Shaoshuai Mou, Ji Liu, A. Stephen Morse:
A Distributed Algorithm for Solving a Linear Algebraic Equation. IEEE Trans. Autom. Control. 60(11): 2863-2878 (2015) - [c20]Shaoshuai Mou, Domitilla Del Vecchio:
How retroactivity impacts the robustness of genetic networks. CDC 2015: 1551-1556 - [c19]Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson:
Convergence rate of optimal periodic gossiping on ring graphs. CDC 2015: 6785-6790 - [c18]Shaoshuai Mou, A. Stephen Morse, Zhiyun Lin, Lili Wang, Daniel Fullmer:
A distributed algorithm for efficiently solving linear equations. CDC 2015: 6791-6796 - [i3]Shaoshuai Mou, Ji Liu, A. Stephen Morse:
A Distributed Algorithm for Solving a Linear Algebraic Equation. CoRR abs/1503.00808 (2015) - [i2]Shaoshuai Mou, A. Stephen Morse, Mohamed-Ali Belabbas, Zhiyong Sun, Brian D. O. Anderson:
Undirected Rigid Formations are Problematic. CoRR abs/1503.00812 (2015) - [i1]Brian D. O. Anderson, Shaoshuai Mou, A. Stephen Morse, Uwe Helmke:
Decentralized gradient algorithm for solution of a linear equation. CoRR abs/1509.04538 (2015) - 2014
- [c17]Shaoshuai Mou, A. Stephen Morse:
Fix the non-robustness issue for a class of minimally rigid undirected formations. ACC 2014: 2348-2352 - [c16]Shaoshuai Mou, A. Stephen Morse:
Finite-time distributed averaging. ACC 2014: 5260-5263 - [c15]Zhiyong Sun, Shaoshuai Mou, Uwe Helmke, Brian D. O. Anderson:
Convergence analysis for rigid formation control with unrealizable shapes: The 3 agent case. AuCC 2014: 1-6 - [c14]Shaoshuai Mou, A. Stephen Morse, Mohamed-Ali Belabbas, Brian D. O. Anderson:
Undirected rigid formations are problematic. CDC 2014: 637-642 - [c13]Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson:
Toward robust control of minimally rigid undirected formations. CDC 2014: 643-647 - [c12]Uwe Helmke, Shaoshuai Mou, Zhiyong Sun, Brian D. O. Anderson:
Geometrical methods for mismatched formation control. CDC 2014: 1341-1346 - [c11]Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, A. Stephen Morse:
Formation movements in minimally rigid formation control with mismatched mutual distances. CDC 2014: 6161-6166 - 2013
- [j8]Shaoshuai Mou, Ming Cao:
Distributed Averaging Using Compensation. IEEE Commun. Lett. 17(8): 1672-1675 (2013) - [c10]Shaoshuai Mou, Ji Liu, A. Stephen Morse:
A distributed algorithm for solving a linear algebraic equation. Allerton 2013: 267-274 - [c9]Oren Mangoubi, Shaoshuai Mou, Ji Liu, A. Stephen Morse:
Towards optimal convex combination rules for gossiping. ACC 2013: 1261-1265 - [c8]Zhiyong Sun, Shaoshuai Mou, Brian D. O. Anderson, A. Stephen Morse:
Non-robustness of gradient control for 3-D undirected formations with distance mismatch. AuCC 2013: 369-374 - [c7]Ji Liu, Shaoshuai Mou, A. Stephen Morse:
An asynchronous distributed algorithm for solving a linear algebraic equation. CDC 2013: 5409-5414 - [c6]Shaoshuai Mou, A. Stephen Morse:
A fixed-neighbor, distributed algorithm for solving a linear algebraic equation. ECC 2013: 2269-2273 - 2012
- [c5]Mohamed-Ali Belabbas, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson:
Robustness issues with undirected formations. CDC 2012: 1445-1450 - 2011
- [j7]Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Yu:
Deterministic Gossiping. Proc. IEEE 99(9): 1505-1524 (2011) - [c4]Ji Liu, Shaoshuai Mou, A. Stephen Morse, Brian D. O. Anderson, Changbin Yu:
Request-based gossiping. CDC/ECC 2011: 1968-1973 - 2010
- [c3]Shaoshuai Mou, Changbin Yu, Brian D. O. Anderson, A. Stephen Morse:
Deterministic gossiping with a periodic protocol. CDC 2010: 5787-5791
2000 – 2009
- 2009
- [j6]Zexu Zhang, Shaoshuai Mou, James Lam, Huijun Gao:
New passivity criteria for neural networks with time-varying delay. Neural Networks 22(7): 864-868 (2009) - 2008
- [j5]Shaoshuai Mou, Huijun Gao, Yu Zhao, Wenyi Qiang:
Further improvement on synchronization stability of complex networks with coupling delays. Int. J. Comput. Math. 85(8): 1255-1263 (2008) - [j4]Yu Zhao, Huijun Gao, Shaoshuai Mou:
Asymptotic stability analysis of neural networks with successive time delay components. Neurocomputing 71(13-15): 2848-2856 (2008) - [j3]Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Zhongyang Fei:
State estimation for discrete-time neural networks with time-varying delays. Neurocomputing 72(1-3): 643-647 (2008) - [j2]Shaoshuai Mou, Huijun Gao, James Lam, Wenyi Qiang:
A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay. IEEE Trans. Neural Networks 19(3): 532-535 (2008) - [j1]Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Ke Chen:
New Delay-Dependent Exponential Stability for Neural Networks With Time Delay. IEEE Trans. Syst. Man Cybern. Part B 38(2): 571-576 (2008) - 2006
- [c2]Huijun Gao, Lixian Zhang, Peng Shi, Shaoshuai Mou, Changhong Wang:
Stability and stabilization of switched linear discrete-time systems with polytopic uncertainties. ACC 2006: 1-6 - [c1]Huijun Gao, Ligang Wu, Peng Shi, Shaoshuai Mou, Changhong Wang:
New Robust H∞ and L2-L∞ Filtering for LPV Systems with Both Discrete and Distributed Delays. ACC 2006: 5632-5637
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 01:16 CET by the dblp team
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