Dong, Yuchen (Northeastern University), Gao, Weinan (Northeastern University)

Cooperative Adaptive Optimal Output Regulation of Multi-Agent Systems with an Application to Connected and Autonomous

Scheduled for presentation during the Invited session "Control, Simulation and Modeling of Intelligent Vehicles" (ThA3), Thursday, October 31, 2024, 11:50−12:10, Room T3

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Abstract

This paper proposes a novel control approach based on gradient descent methods to solve the problem of cooperative adaptive optimal output regulation of continuous-time linear multi-agent systems. This proposed approach calculates gradients through online data rather than model information, such that a data-driven distributed adaptive controller is developed by adaptive dynamic programming, which ensures that each follower can achieve asymptotic tracking and disturbance rejection. Finally, the effectiveness of the proposed control algorithm is verified by simulation of connected and autonomous vehicles.