Robust State/Fault Estimation and Fault-Tolerant Control in Discrete-Time T-S Fuzzy Systems: An Embedded Smoothing Signal Model Approach

2021 ◽  
pp. 1-15
Author(s):  
Bor-Sen Chen ◽  
Min-Yen Lee ◽  
Tzu-Han Lin ◽  
Weihai Zhang
Keyword(s):  
Discrete Time ◽  
Fuzzy Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Estimation ◽  
Signal Model ◽  
Model Approach

scholarly journals Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays

2011 ◽  
Vol 21 (4) ◽  
pp. 617-627 ◽  
Author(s):  
Shaocheng Tong ◽  
Gengjiao Yang ◽  
Wei Zhang
Keyword(s):  
Fuzzy Systems ◽  
Time Delays ◽  
Fault Tolerant ◽  
Sufficient Conditions ◽  
Fault Tolerant Control ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Sensor Failures ◽  
On Line ◽  
Augmented State

Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delaysThis paper addresses the problems of robust fault estimation and fault-tolerant control for Takagi-Sugeno (T-S) fuzzy systems with time delays and unknown sensor faults. A fuzzy augmented state and fault observer is designed to achieve the system state and sensor fault estimates simultaneously. Furthermore, based on the information of on-line fault estimates, an observer-based dynamic output feedback fault-tolerant controller is developed to compensate for the effect of faults by stabilizing the resulting closed-loop system. Sufficient conditions for the existence of both a state observer and a fault-tolerant controller are given in terms of linear matrix inequalities. A simulation example is given to illustrate the effectiveness of the proposed approach.

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