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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 Lu
The 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 Systems

ISSN

1063-6706

Publisher

Institute of Electrical and Electronics Engineers

Issue

3

Volume

19

Page range

553-561

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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