2024
DOI: 10.1002/asjc.3477
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Adaptive learning control for group consensus tracking of discrete nonlinear multiagent systems

Qianhui Gao,
Jinsha Li,
Junmin Li

Abstract: In this article, we explore the group output tracking consensus problem for discrete‐time strict‐feedback ‐order nonlinear multiagent systems that run repeatedly on finite time . A novel distributed adaptive iterative learning group consensus protocol is designed, which consists of two main components. The first component is based on time‐varying neural networks, which is used to approximate the unknown nonlinear function in the ‐step ahead predictor. In general, not all followers can access the information… Show more

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