Adaptive Fixed-Time Optimal Formation Control for Uncertain Nonlinear Multiagent Systems Using Reinforcement Learning

• Published in: IEEE transactions on network science and engineering Vol. 11; no. 2; pp. 1729 - 1743
• Main Authors: Wang, Ping, Yu, Chengpu, Lv, Maolong, Cao, Jinde
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Control algorithms; Control theory; Dynamical systems; Estimation error; fixed-time stability; Formation control; marine surface vessels; Multiagent systems; Nonlinear control; Nonlinear dynamics; Nonlinear systems; Optimal control; Optimization; Quadratic equations; reinforcement learning; Stability analysis; Stability criteria; System dynamics; Thermal stability; Time optimal control; Uncertainty

This article explores the application of reinforcement learning (RL) strategy to achieve an adaptive fixed-time (FxT) optimized formation control of uncertain nonlinear multiagent systems. The primary obstacle in this process is the difficulty in attaining FxT stability under the actor-critic settin...