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https://hdl.handle.net/2440/77882
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Type: | Journal article |
Title: | Gain-scheduled fault detection on stochastic nonlinear systems with partially known transition jump rates |
Author: | Yin, Y. Shi, P. Liu, F. Pan, J. |
Citation: | Nonlinear Analysis: Real World Applications, 2012; 13(1):359-369 |
Publisher: | Elsevier Ltd |
Issue Date: | 2012 |
ISSN: | 1468-1218 |
Statement of Responsibility: | Yanyan Yin, Peng Shi, Fei Liu, Jeng-Shyang Pan |
Abstract: | In this paper, the problem of continuous gain-scheduled fault detection (FD) is studied for a class of stochastic nonlinear systems which possesses partially known jump rates. Initially, by using gradient linearization approach, the nonlinear stochastic system is described by a series of linear jump models at some selected working points. Subsequently, observer-based residual generator is constructed for each jump linear system. Then, a new observer-design method is proposed for each re-constructed system to design H∞ observers that minimize the influences of the disturbances, and to formulate a new performance index that increase the sensitivity to faults. Finally, continuous gain-scheduled approach is employed to design continuous FD observers on the whole nonlinear stochastic system. Simulation example is given to show the effectiveness and potential of the developed techniques. © 2011 Elsevier Ltd. All rights reserved. |
Keywords: | Fault detection (FD) Continuous gain scheduling Observer Nonlinearities Markov jump system |
Rights: | © 2011 Elsevier Ltd. All rights reserved. |
DOI: | 10.1016/j.nonrwa.2011.07.043 |
Published version: | http://dx.doi.org/10.1016/j.nonrwa.2011.07.043 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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