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T-S fuzzy model-based robust stabilization for networked control systems with probabilistic sensor and actuator failure
journal contribution
posted on 2023-06-08, 09:29 authored by Engang Tian, Dong Yue, Tai Yang, Zhou Gu, Guoping LuThe system studied in this paper has four main features: 1) It is a networked controlled system (NCS), and therefore, the signal transfer is subject to random delay and/or loss; 2) it is a nonlinear system approximated by a Takegi--Sugeno (T-S) fuzzy model; 3) its multisensors and multiactuators are subject to various possible faults/failures; and 4) there are uncertainties in the plant model parameters. A comprehensive model is first developed in this paper to cover these features for a class of NCS nonlinear systems. This model has removed some limitations of similar models in the published literature. Then, the Lyapunov functional and the linear matrix inequality (LMI) are applied to develop two new stability conditions (Theorems 1 and 2). These conditions and an algorithm are used to design a controller to achieve robust mean square stability of the system. Finally, two examples are used to demonstrate the application of the modeling and the controller design method developed.
History
Publication status
- Published
Journal
IEEE Transactions on Fuzzy SystemsISSN
1063-6706Publisher
Institute of Electrical and Electronics EngineersExternal DOI
Issue
3Volume
19Page range
553-561Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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