T-S fuzzy model-based robust stabilization for networked control systems with probabilistic sensor and actuator failure

Tian, Engang, Yue, Dong, Yang, Tai Cheng, Gu, Zhou and Lu, Guoping (2011) T-S fuzzy model-based robust stabilization for networked control systems with probabilistic sensor and actuator failure. IEEE Transactions on Fuzzy Systems, 19 (3). pp. 553-561. ISSN 1063-6706

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Abstract

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.

Item Type: Article
Keywords: Actuators; Bismuth; Delay; Distortion measurement; Probabilistic logic; Robustness; Stability analysis
Schools and Departments: School of Engineering and Informatics > Engineering and Design
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Depositing User: Tai Yang
Date Deposited: 06 Feb 2012 21:15
Last Modified: 08 Mar 2017 04:52
URI: http://sro.sussex.ac.uk/id/eprint/30503

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