Adaptive Tracking Control for a Class of Nonlinear Systems with Intermittent Actuator Faults under Prescribe Output Tracking Performance

2024年1月29日·
Li‐Ting Lu
,
Yu‐Qun Han
,
Dong‐Mei Wang
朱善良
朱善良
,
Qing‐Hua Zhou
Corresponding
· 0 分钟阅读时长
摘要
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.
类型
出版物
Asian Journal of Control
publications
朱善良
Authors
正教授
博士,教授,硕士生导师,人工智能技术海洋场景化应用山东省工程研究中心副主任,青岛市人工智能海洋技术创新中心副主任,青岛科技大学数学与交叉研究院副院长。山东赛区数学建模竞赛专家组成员、山东省数学会理事、山东省应用统计学会理事、人工智能海洋学专业委员会委员。近年来,主持或参与国家自然科学基金、省自然基金、省教改项目等各类教学科研项目20多项,在国内外期刊发表学术论文80余篇,其中被SCI、EI检索70余篇,参编教材1部。指导学生参加全国大学生数学建模竞赛、中国研究生数学建模竞赛、美国大学生数学建模竞赛等各类竞赛获国家一等奖9项、国家二等奖29项、国家三等奖13项、山东省一等奖37项、山东省二等奖12项、山东省三等奖7项。指导本科生参加国家大学生创新计划项目4项。