Distributed Model-Free Adaptive Learning Control of Discrete-Time Nonlinear Multiagent Systems

作者：Yongsheng Ma, Wei‐Wei Che, Shixu Xu, Chao Deng, Zheng‐Guang Wu · 发表于：IEEE Transactions on Neural Networks and Learning Systems · 年份：2025 · DOI：10.1109/tnnls.2025.3575423 · 被引用次数：10 · 研究领域：Iterative Learning Control Systems、Industrial Technology and Control Systems、Advanced Control Systems Optimization

This article investigates the distributed control problem for nonlinear multiagent systems (MASs) with unknown system models. A novel distributed model-free adaptive learning algorithm is developed to learn a controller from the online system data. Notably, a significant advancement over conventional methods is that the proposed algorithm requires only local interaction data from neighboring agents, eliminating dependencies on both a priori system structural knowledge and global topology information. Comprehensive simulations validate the theoretical results and demonstrate the superior efficacy of the devised algorithm.