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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)
Department机器人学研究室
Conference Name2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning
Conference DateDecember 9-12, 2014
Conference PlaceOrlando, FL, United states
Source PublicationIEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - ADPRL 2014: 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Proceedings
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2014
Pages1-6
Indexed ByEI ; CPCI(ISTP)
EI Accession number20151200669227
WOS IDWOS:000380541100028
Contribution Rank3
ISBN978-1-4799-4553-5
AbstractThis 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/16112
Collection机器人学研究室
Corresponding AuthorYe D(叶丹)
Affiliation1.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
Recommended Citation
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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