Adaptive Tracking Control for a Class of Nonlinear Systems with Intermittent Actuator Faults under Prescribe Output Tracking Performance
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
Adaptive Control
Intermittent Actuator Faults
Multi‐dimensional Taylor Network
Nonlinear Systems
Prescribed Performance
其他
Authors
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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。
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