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Limit-cycle analysis of dynamic fuzzy control systems

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Abstract

The main purpose of this study is to predict limit cycles of a dynamic fuzzy control system by combining a stability equation, describing function and parameter plane. The stability of a linearized dynamic fuzzy control system is then analyzed using stability equations and the parameter plane method, with the assistance of a describing function method. This procedure identifies the amplitude and frequency of limit cycles that are clearly formed by the dynamic fuzzy controller in the parameter plane. Moreover, the suppression of the limit cycle by adjusting control parameters is proposed. Continuous and sampled-data systems are addressed, and the proposed approach can easily be extended to a fuzzy control system with multiple nonlinearities. Simulations are performed to demonstrate the effectiveness of the proposed scheme.

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Authors and Affiliations

  1. Department of Mechanical and Electro-Mechanical Engineering, National Sun Yat-sen University, 70, Lienhai Road, Kaohsiung, 80424, Taiwan, ROC

    Jau-Woei Perng

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  1. Jau-Woei Perng
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Correspondence to Jau-Woei Perng.

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Communicated by P. Angelov.

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Perng, JW. Limit-cycle analysis of dynamic fuzzy control systems. Soft Comput 17, 1553–1561 (2013). https://doi.org/10.1007/s00500-012-0971-9

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