控制理论(社会学)
观察员(物理)
非线性系统
补偿(心理学)
计算机科学
自适应控制
控制(管理)
控制工程
工程类
物理
人工智能
心理学
量子力学
精神分析
作者
Ke Xu,Huanqing Wang,Peter Liu
标识
DOI:10.1109/tcyb.2024.3505259
摘要
This article focuses on an observer-based adaptive sensor fault compensation fixed-time tracking control problem for uncertain nonlinear systems. A sixth-power Lyapunov function is designed for the first time which lays the foundation to construct the effective adaptive fixed-time fault compensation mechanism. Meanwhile, in the controller design procedure, owing to the existence of the sensor fault, only the actual output can be measured, unlike existing results, an improved state observer is constructed to estimate the unmeasured states effectively. Under our developed control mechanism, all closed-loop signals are bounded within fixed-time interval, observation errors and tracking error can converge into a small domain around zero. Simulation verifies the availability of the presented approach further.
科研通智能强力驱动
Strongly Powered by AbleSci AI