控制理论(社会学)
数学
网络拓扑
非线性系统
多智能体系统
弹道
自适应控制
跟踪(教育)
拓扑(电路)
控制(管理)
共识
数学优化
计算机科学
人工智能
心理学
教育学
天文
组合数学
操作系统
物理
量子力学
作者
Ying Wang,Wuquan Li,Ji‐Feng Zhang
出处
期刊:Siam Journal on Control and Optimization
[Society for Industrial and Applied Mathematics]
日期:2022-10-01
卷期号:60 (5): 3148-3172
被引量:2
摘要
This paper is concerned with the adaptive consensus tracking control problem for strict-feedback nonlinear multiagent systems with parameter uncertainty under both fixed and switching topologies. When the topology is fixed, we first propose a novel distributed fusion least-squares algorithm without regressor filtering, which has a clear advantage that the estimate of each agent converges to the true parameter value under a weak cooperative persistent excitation condition. Then, we design a new adaptive consensus tracking control law to guarantee that each agent can asymptotically track the reference trajectory. After that, we generalize the corresponding results to the switching topology case. Finally, two examples are given to demonstrate the theoretical results.
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