Collision avoidance time-varying group formation tracking control for multi-agent systems

Abstract

This study considers the time-varying group formation tracking control problem for general linear multi-agent systems with collision avoidance, where the multi-agent systems is divided into multiple subgroups, enabling followers to form prescribed formations and track trajectories provided by their respective leaders without collisions. Firstly, a distributed time-varying group formation tracking control protocol is introduced using only relative information among neighboring agents. Then, feasibility conditions under which multi-agent systems can successfully realize the time-varying group formation tracking without collisions are put forward. Utilizing Lyapunov stability theory, the convergence of the time-varying group formation tracking error systems is confirmed, ensuring the collision-free achievement of the desired formation. Finally, some simulation examples are provided to validate the effectiveness of the theoretical results.

Publication
Applied Intelligence
Shiyu Zhou
Shiyu Zhou
Ph.D. Candidate

Ph.D. candidate at City University of Hong Kong