反推
控制理论(社会学)
跟踪(教育)
执行机构
跟踪误差
李雅普诺夫函数
非线性系统
瞬态(计算机编程)
Lyapunov稳定性
有界函数
控制工程
自适应控制
计算机科学
控制(管理)
工程类
数学
人工智能
物理
心理学
量子力学
教育学
数学分析
操作系统
作者
W. Zhao,Yu‐Qun Han,Dong‐Mei Wang,Shan‐Liang Zhu,Zhou Qing-hua
摘要
Abstract This paper investigates the adaptive tracking control problem of a class of nonlinear systems with intermittent actuator faults and prescribed performance. In the backstepping design process, a performance function is incorporated to ensure that the tracking error adheres to the prescribed performance criteria. Simultaneously, multi‐dimensional Taylor networks are used to approximate the unknown nonlinear functions in the system. Subsequently, to avoid jumps in the improved Lyapunov function when faults occur, a boundary estimation method is presented, which effectively compensates for the impact of intermittent actuator faults. Ultimately, based on Lyapunov stability theory, it is proven that all signals of the closed‐loop system are bounded, and the tracking error can satisfy the prescribed transient and steady‐state performance. Simulation results demonstrate the effectiveness of the proposed scheme.
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