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题名: Adaptive fault identification for a class of nonlinear dynamic systems
作者: Wu LB(武力兵); Ye D(叶丹); Zhao XG(赵新刚)
作者部门: 机器人学研究室
会议名称: 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
会议日期: December 9-12, 2014
会议地点: Orlando, FL, United states
会议录: IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ADPRL 2014: 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Proceedings
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2014
页码: 1-6
收录类别: EI
ISBN号: 9781479945535
摘要: This paper is concerned with the diagnosis problem of actuator faults for a class of nonlinear systems. It is assumed that the upper bound of the Lipschtiz constant of the nonlinearity in the faulty system is unknown. Then, a new nonlinear observer for fault diagnosis based on an adaptive estimator is proposed. Moreover, by making use of the designed adaptive observer with on-line update control law without a-modification condition to approximate the faulty system, it is proved that the estimate error of the adaptive control parameter, the output observation error and the error between the system fault and the corresponding estimate value are uniformly ultimately bounded via Lyapunov stability analysis. Finally, simulation examples are provided to illustrate the efficiency of the proposed fault identification approach.
语种: 英语
产权排序: 3
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/16112
Appears in Collections:机器人学研究室_会议论文

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