International Journal of Control, Automation and Systems 2014; 12(1): 188-194
Published online February 1, 2014
https://doi.org/10.1007/s12555-012-0448-8
© The International Journal of Control, Automation, and Systems
This paper proposes a fuzzy adaptive control approach based on a modular design for uncertain chaotic Duffing oscillators. Using fuzzy logic, the unknown nonlinear function in the Duffing oscillator is approximated. Subsequently, a modular adaptive controller is derived consisting of an input-to-state stabilizing (ISS) control module and a passive identifier module. Since the modular design allows for independent design of the controller and identifier, the proposed method provides substantial flexibility in the choice of a parameter identifier. Additionally, the modularity of the controller-identifier pair provides simplicity in the control system derivation. Simulation results are included to illustrate the effectiveness of the proposed approach.
Keywords Adaptive control, fuzzy logic, ISS controller, modular design, passive identifier.
International Journal of Control, Automation and Systems 2014; 12(1): 188-194
Published online February 1, 2014 https://doi.org/10.1007/s12555-012-0448-8
Copyright © The International Journal of Control, Automation, and Systems.
Sung-Hoon Yu, Hyo Seok Kang, Yong-Tae Kim, Chang-Ho Hyun*, and Mignon Park
Kongju National University
This paper proposes a fuzzy adaptive control approach based on a modular design for uncertain chaotic Duffing oscillators. Using fuzzy logic, the unknown nonlinear function in the Duffing oscillator is approximated. Subsequently, a modular adaptive controller is derived consisting of an input-to-state stabilizing (ISS) control module and a passive identifier module. Since the modular design allows for independent design of the controller and identifier, the proposed method provides substantial flexibility in the choice of a parameter identifier. Additionally, the modularity of the controller-identifier pair provides simplicity in the control system derivation. Simulation results are included to illustrate the effectiveness of the proposed approach.
Keywords: Adaptive control, fuzzy logic, ISS controller, modular design, passive identifier.
Vol. 23, No. 3, pp. 683~972
Chenchen Sun, Guofang Gong*, and Huayong Yang
International Journal of Control, Automation and Systems 2020; 18(2): 363-373Alireza Tadayoni, Wen-Fang Xie, and Brandon W. Gordon
International Journal of Control, Automation and Systems 2011; 9(1): 50-59Changhui Wang*, Yihao Wang, and Mei Liang*
International Journal of Control, Automation, and Systems 2025; 23(3): 945-959