Multiplicative fault estimation for a type of nonlinear uncertain system
作者： Guang-Ren Duan , Qing Zhao , Chunyan Gao
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摘要: This paper investigates the parameter estimation problem for a type of nonlinear system with multiplicative component faults and model uncertainties. Multiplicative are changes within process. Model uncertainties can be treated as an unknown input by appropriate transformation. An adaptive observer is proposed to estimate which affected states inputs. The triggering oscillatory failures considered. design applied hydraulic rig verify its effectiveness.
参考文章(17)
Steven X. Ding, Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools ,(2008)
S.X. Ding, P.M. Frank, E.L. Ding, An approach to the detection of multiplicative faults in uncertain dynamic systems conference on decision and control. ,vol. 4, pp. 4371- 4376 ,(2002) , 10.1109/CDC.2002.1185060
Harold Lee Jones, Failure detection in linear systems ,(1973)
Ron J. Patton, Jie Chen, Robust Model-Based Fault Diagnosis for Dynamic Systems ,(2011)
John Watton, Modelling, monitoring and diagnostic techniques for fluid power systems ,(2007)
Richard Vernon Beard, Failure accomodation in linear systems through self-reorganization. Massachusetts Institute of Technology. ,(1971)
P. Goupil, Oscillatory failure case detection in the A380 electrical flight control system by analytical redundancy Control Engineering Practice. ,vol. 18, pp. 681- 686 ,(2007) , 10.3182/20070625-5-FR-2916.00116
Xing-Gang Yan, Christopher Edwards, Brief paper: Nonlinear robust fault reconstruction and estimation using a sliding mode observer Automatica. ,vol. 43, pp. 1605- 1614 ,(2007) , 10.1016/J.AUTOMATICA.2007.02.008
Zhiwei Gao, Steven X. Ding, Brief paper: Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems Automatica. ,vol. 43, pp. 912- 920 ,(2007) , 10.1016/J.AUTOMATICA.2006.11.018
Xiaodong Zhang, Marios M. Polycarpou, Thomas Parisini, Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation Automatica. ,vol. 46, pp. 290- 299 ,(2010) , 10.1016/J.AUTOMATICA.2009.11.014