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20152023
most citedInverse Optimal Control from Incomplete Trajectory Observations

55 citations · 197 across the 32 of their papers we have counts for

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15 papers · 1 filter

eess.SY2023

A Data-Driven Approach for Inverse Optimal Control

Zihao Liang, Wenjian Hao, Shaoshuai Mou

This paper proposes a data-driven, iterative approach for inverse optimal control (IOC), which aims to learn the objective function of a nonlinear optimal control system given its…

eess.SY2023

Variable Sampling MPC via Differentiable Time-Warping Function

Zehui Lu, Shaoshuai Mou

Designing control inputs for a system that involves dynamical responses in multiple timescales is nontrivial. This paper proposes a parameterized time-warping function to enable a…

eess.SY2022★ 25 cited

Deep Koopman Learning of Nonlinear Time-Varying Systems

Wenjian Hao, Bowen Huang, Wei Pan +2

This paper presents a data-driven approach to approximate the dynamics of a nonlinear time-varying system (NTVS) by a linear time-varying system (LTVS), which is resulted from the…

eess.SY2022

Cooperative Tuning of Multi-Agent Optimal Control Systems

Zehui Lu, Wanxin Jin, Shaoshuai Mou +1

This paper investigates the problem of cooperative tuning of multi-agent optimal control systems, where a network of agents (i.e. multiple coupled optimal control systems) adjusts…

eess.SY2022★ 3 cited

Resilience for Distributed Consensus with Constraints

Xuan Wang, Shaoshuai Mou, Shreyas Sundaram

This paper proposes a new approach that enables multi-agent systems to achieve resilient \textit{constrained} consensus in the presence of Byzantine attacks, in contrast to existin…

eess.SY2021★ 2 cited

Towards Resilience for Multi-Agent -Learning

Yijing Xie, Shaoshuai Mou, Shreyas Sundaram

This paper considers the multi-agent reinforcement learning (MARL) problem for a networked (peer-to-peer) system in the presence of Byzantine agents. We build on an existing distri…

eess.SY2020★ 43 cited

Neural Certificates for Safe Control Policies

Wanxin Jin, Zhaoran Wang, Zhuoran Yang +1

This paper develops an approach to learn a policy of a dynamical system that is guaranteed to be both provably safe and goal-reaching. Here, the safety means that a policy must not…

eess.SY2020

Distributed traffic control for a large-scale urban network

Viet Hoang Pham, Kazunori Sakurama, Shaoshuai Mou +1

Motivated by the fact that intelligent traffic control systems have become inevitable demand to cope with the risk of traffic congestion in urban areas, this paper develops a distr…

eess.SY2018

On the stability and applications of distance-based flexible formations

Hector Garcia de Marina, Zhiyong Sun, Shaoshuai Mou

This paper investigates the stability of distance-based \textit{flexible} undirected formations in the plane. Without rigidity, there exists a set of connected shapes for given dis…

eess.SY2017★ 3 cited

A Double-Layered Framework for Distributed Coordination in Solving Linear Equations

Xuan Wang, Shaoshuai Mou, Brian. D. O. Anderson

This paper proposes a double-layered framework (or form of network) to integrate two mechanisms, termed consensus and conservation, achieving distributed solution of a linear equat…

eess.SY2017★ 10 cited

A Distributed Algorithm for Least Square Solutions of Linear Equations

Xuan Wang, Jingqiu Zhou, Shaoshuai Mou +1

A distributed discrete-time algorithm is proposed for multi-agent networks to achieve a common least squares solution of a group of linear equations, in which each agent only knows…

eess.SY2017★ 4 cited

Finite-Time Distributed Linear Equation Solver for Minimum Norm Solutions

Jingqiu Zhou, Wang Xuan, Shaoshuai Mou +1

This paper proposes distributed algorithms for multi-agent networks to achieve a solution in finite time to a linear equation where has full row rank, and with the minim…

eess.SY2015

Decentralized gradient algorithm for solution of a linear equation

Brian D. O. Anderson, Shaoshuai Mou, A. Stephen Morse +1

The paper develops a technique for solving a linear equation with a square and nonsingular matrix , using a decentralized gradient algorithm. In the language of control t…

eess.SY2015★ 1 cited

Undirected Rigid Formations are Problematic

Shaoshuai Mou, A. Stephen Morse, Mohamed Ali Belabbas +2

By an undirected rigid formation of mobile autonomous agents is meant a formation based on graph rigidity in which each pair of "neighboring" agents is responsible for maintaining…

eess.SY2015★ 8 cited

A Distributed Algorithm for Solving a Linear Algebraic Equation

Shaoshuai Mou, Ji Liu, A. Stephen Morse

A distributed algorithm is described for solving a linear algebraic equation of the form assuming the equation has at least one solution. The equation is simultaneously solv…