反推
控制理论(社会学)
多输入多输出
李雅普诺夫函数
控制器(灌溉)
非线性系统
模糊逻辑
数学
自适应控制
模糊控制系统
计算机科学
控制(管理)
人工智能
波束赋形
统计
物理
量子力学
农学
生物
作者
Yongchao Liu,Bowen Zeng,Qidan Zhu,Lipeng Wang
标识
DOI:10.1080/23307706.2022.2139298
摘要
This paper addresses the asymptotic control problem of uncertain multi-input and multi-output (MIMO) nonlinear systems. The considered MIMO systems contain unknown virtual control coefficients (UVCCs) and state constraints. A creative Lyapunov function by associating with the lower bounds of UVCCs is presented to counteract the adverse effect deriving from UVCCs. The state constraints are ensured by utilising the barrier Lyapunov function. Moreover, the asymptotic tracking controller is recursively constructed by combining the backstepping technique with fuzzy logic systems. The remarkable character of the designed controller is that the asymptotic tracking performance can be achieved by introducing some smooth functions into adaptive backstepping procedure. In contrast to the existing results, the conditions on the UVCCs are relaxed. Finally, the new control design is illustrated by a practical example.
科研通智能强力驱动
Strongly Powered by AbleSci AI