High gain observer-based fault estimation for nonlinear networked control systems

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Mao, Zehui, Jiang, Bin, Shi, Peng and Cocquempot, Vincent (2008) High gain observer-based fault estimation for nonlinear networked control systems. In: American Control Conference, 2008. IEEE, pp. 3058-3063.


In this paper, an observer-based fault estimation (FE) method is presented for a class of nonlinear networked control systems (NCSs) with Markov transfer delays. First, the nonlinear NCSs are modelled by nonlinear discrete Takagi-Sugeno (T-S) fuzzy model with modelling uncertainty. Under some geometric conditions, the proposed nonlinear T-S model can be transformed into two subsystems with one of them having backstepping form. Then, the discrete nonlinear observer is designed to provide the estimation of unmeasurable state and the modelling uncertainty, which is used to construct a fault estimation algorithm. Finally, an example is included to show the efficiency of the proposed method.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/5809
DOI 10.1109/ACC.2008.4586962
Official URL http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
ISBN 9781424420780
Subjects Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
Historical > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Keywords ResPubID16471, Markov processes, delays, discrete systems, distributed control, fault diagnosis, fuzzy control, nonlinear control systems
Citations in Scopus 7 - View on Scopus
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