控制理论(社会学)
趋同(经济学)
非线性系统
模糊逻辑
模糊控制系统
理论(学习稳定性)
计算机科学
多智能体系统
自适应控制
数学优化
国家(计算机科学)
数学
控制(管理)
算法
人工智能
经济增长
量子力学
机器学习
物理
经济
作者
Han‐Qian Hou,Yan‐Jun Liu,Jie Lan,Lei Liu
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-04-01
卷期号:31 (4): 1152-1162
被引量:18
标识
DOI:10.1109/tfuzz.2022.3195609
摘要
This article presents an adaptive fuzzy fixed time time-varying formation control (TVFC) method for uncertain heterogeneous nonlinear multiagent systems (HNMASs) with full state constraints. Meanwhile, both partial loss of effectiveness and bias fault are considered in HNMASs. The fuzzy logic systems are selected as an effective tool to approximate uncertain nonlinear functions. The original constrained states of the systems will be converted to unconstrained states by the nonlinear transformed function. Compared with previous papers, it is the first time to handle the TVFC problem of HNMASs with full state constraints. In addition, formation control based on an adaptive fuzzy fixed time strategy not only ensures fast convergence of the system, but also the convergence time doesn't depend on any initial conditions. The stability of HNMAs is proven by the fixed time stability theory. Finally, a simulation is given to testify the effectiveness of the control method.
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