Adaptive Neural Tracking Control of MIMO Nonlinear Time-Varying Delay Systems With Actuator Faults
作者单位：College of Automation and College of Artificial IntelligenceNanjing University of Posts and Telecommunications College of Mechanical EngineeringSuzhou University of Science and Technology
会议名称：《第43届中国控制会议》
会议日期：1000年
学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程]
关 键 词：Neural network multi-input-multi-output(MIMO) systems unknown actuator faults time delay
摘 要：This paper studies an adaptive neural control for nonlinear multiple-input multiple-output systems with unknown actuator failures and nonlinear dynamic *** novel decentralized adaptive neural control algorithms are developed by introducing a well defined smooth *** unknown time-varying delays and the unmodeled dynamics are dealt with by constructing appropriate Lyapunov-Krasovskii functions and introducing available dynamic *** main advantage of the proposed controllers is that they contain less parameter estimates that need to be updated online,which simplifies the computation of the control effort,and therefore extends its ***,simulation example is provided to illustrate the effectiveness and merits of the proposed control schemes.