International Journal of Control, Automation and Systems 2021; 19(11): 3823-3829
Published online July 27, 2021
https://doi.org/10.1007/s12555-020-0556-9
© The International Journal of Control, Automation, and Systems
This paper investigates the fuzzy normalization and stabilization issues of a class of singular fractional order nonlinear systems with order 0 < α < 1 based on a singular Takagi-Sugeno fuzzy model. First, we present the admissibility theorem of Takagi-Sugeno fuzzy singular fractional order systems. Next, benefited by that the fuzzy model and the state feedback controllers do not share the same membership functions, a proportional plus derivative state feedback controller is designed, which guarantees the closed-loop system normalized and admissible. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed method.
Keywords Admissibility, fractional order systems, singular systems, Takagi-Sugeno fuzzy systems
International Journal of Control, Automation and Systems 2021; 19(11): 3823-3829
Published online November 1, 2021 https://doi.org/10.1007/s12555-020-0556-9
Copyright © The International Journal of Control, Automation, and Systems.
Xuefeng Zhang* and Kaijing Jin
Northeastern University
This paper investigates the fuzzy normalization and stabilization issues of a class of singular fractional order nonlinear systems with order 0 < α < 1 based on a singular Takagi-Sugeno fuzzy model. First, we present the admissibility theorem of Takagi-Sugeno fuzzy singular fractional order systems. Next, benefited by that the fuzzy model and the state feedback controllers do not share the same membership functions, a proportional plus derivative state feedback controller is designed, which guarantees the closed-loop system normalized and admissible. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed method.
Keywords: Admissibility, fractional order systems, singular systems, Takagi-Sugeno fuzzy systems
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