Fuzzy tracking control design for nonlinear discrete-time dynamic systems via TS fuzzy model

2002 ◽  
Author(s):  
Chung-Shi Tseng ◽  
Bor-Sen Chen
Keyword(s):  
Discrete Time ◽  
Dynamic Systems ◽  
Tracking Control ◽  
Fuzzy Model ◽  
Control Design ◽  
Time Dynamic ◽  
Ts Fuzzy Model

scholarly journals Further results on robust fuzzy dynamic systems with LMI D-stability constraints

2014 ◽  
Vol 24 (4) ◽  
pp. 785-794 ◽  
Author(s):  
Wudhichai Assawinchaichote
Keyword(s):  
Dynamic Systems ◽  
Fuzzy Controller ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Local System ◽  
Linear Matrix ◽  
Fuzzy Modelling ◽  
Ts Fuzzy Model ◽  
Input Noise ◽  
Takagi Sugeno

Abstract This paper examines the problem of designing a robust H∞ fuzzy controller with D-stability constraints for a class of nonlinear dynamic systems which is described by a Takagi-Sugeno (TS) fuzzy model. Fuzzy modelling is a multi-model approach in which simple sub-models are combined to determine the global behavior of the system. Based on a linear matrix inequality (LMI) approach, we develop a robust H∞ fuzzy controller that guarantees (i) the L2-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value, and (ii) the closed-loop poles of each local system to be within a specified stability region. Sufficient conditions for the controller are given in terms of LMIs. Finally, to show the effectiveness of the designed approach, an example is provided to illustrate the use of the proposed methodology.

Data-driven fault identifiability analysis for discrete-time dynamic systems

2020 ◽  
Vol 51 (2) ◽  
pp. 404-412
Author(s):  
Fangzhou Fu ◽  
Dayi Wang ◽  
Wenbo Li ◽  
Fanbiao Li
Keyword(s):  
Discrete Time ◽  
Dynamic Systems ◽  
Data Driven ◽  
Identifiability Analysis ◽  
Time Dynamic
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