55 citations · 197 across the 32 of their papers we have counts for
8 papers · 1 filter
Neighboring Extremal Optimal Control Theory for Parameter-Dependent Closed-loop Laws
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
This study introduces an approach to obtain a neighboring extremal optimal control (NEOC) solution for a closed-loop optimal control problem, applicable to a wide array of nonlinea…
Safe Region Multi-Agent Formation Control With Velocity Tracking
Ayush Rai, Shaoshuai Mou
This paper provides a solution to the problem of safe region formation control with reference velocity tracking for a second-order multi-agent system without velocity measurements.…
Distributed Optimization under Edge Agreements: A Continuous-Time Algorithm
Zehui Lu, Shaoshuai Mou
Generalized from the concept of consensus, this paper considers a group of edge agreements, i.e. constraints defined for neighboring agents, in which each pair of neighboring agent…
Adaptive Policy Learning to Additional Tasks
Wenjian Hao, Zehui Lu, Zihao Liang +2
This paper develops a policy learning method for tuning a pre-trained policy to adapt to additional tasks without altering the original task. A method named Adaptive Policy Gradien…
Optimal Control of Nonlinear Systems with Unknown Dynamics
Wenjian Hao, Paulo C. Heredia, Shaoshuai Mou
This paper presents a data-driven method to find a closed-loop optimal controller, which minimizes a specified infinite-horizon cost function for systems with unknown dynamics. Sup…
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…
DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment
Zehui Lu, Tianyu Zhou, Shaoshuai Mou
Solving a collision-aware multi-agent mission planning (task allocation and path finding) problem is challenging due to the requirement of real-time computational performance, scal…
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…