International Journal of Control, Automation and Systems 2021; 19(6): 2260-2268
Published online March 30, 2021
https://doi.org/10.1007/s12555-020-0078-5
© The International Journal of Control, Automation, and Systems
This paper investigates the admissibility issue of a class of singular fractional order nonlinear systems based on Takagi-Sugeno (T-S) fuzzy model. First, the fuzzy model and the state and output feedback controllers share the different membership functions. Then, we propose the methods about designing the fuzzy state and output feedback controllers, which guarantee the asymptotical stability of closed-loop systems. Next, the equality constraint existing in most of admissibility theorems is eliminated and strict linear matrix inequalities (LMIs) are obtained. Finally, two numerical simulation examples are given to illustrate the effectiveness of the proposed methods.
Keywords Admissibility, fractional order systems, output feedback, singular systems, state feedback, Takagi-Sugeno fuzzy systems.
International Journal of Control, Automation and Systems 2021; 19(6): 2260-2268
Published online June 1, 2021 https://doi.org/10.1007/s12555-020-0078-5
Copyright © The International Journal of Control, Automation, and Systems.
Xuefeng Zhang* and Kaijing Jin
Northeastern University
This paper investigates the admissibility issue of a class of singular fractional order nonlinear systems based on Takagi-Sugeno (T-S) fuzzy model. First, the fuzzy model and the state and output feedback controllers share the different membership functions. Then, we propose the methods about designing the fuzzy state and output feedback controllers, which guarantee the asymptotical stability of closed-loop systems. Next, the equality constraint existing in most of admissibility theorems is eliminated and strict linear matrix inequalities (LMIs) are obtained. Finally, two numerical simulation examples are given to illustrate the effectiveness of the proposed methods.
Keywords: Admissibility, fractional order systems, output feedback, singular systems, state feedback, Takagi-Sugeno fuzzy systems.
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