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.
Abstract
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 |
| Download/View statistics | View download statistics for this item |
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