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Adaptive fault identification for a class of nonlinear dynamic systems
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
会议录名称IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ADPRL 2014: 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Proceedings
出版者IEEE
出版地Piscataway, NJ, USA
2014
页码1-6
收录类别EI ; CPCI(ISTP)
EI收录号20151200669227
WOS记录号WOS:000380541100028
产权排序3
ISBN号978-1-4799-4553-5
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
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/16112
专题机器人学研究室
通讯作者Ye D(叶丹)
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China
2.College of Sciences, University of Science and Technology Liaoning, Anshan, Liaoning, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, Liaoning, China
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GB/T 7714
Wu LB,Ye D,Zhao XG. Adaptive fault identification for a class of nonlinear dynamic systems[C]. Piscataway, NJ, USA:IEEE,2014:1-6.
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