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Limit cycle prediction of a neurocontrol vehicle system based on gain-phase margin analysis

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Abstract

Based on some useful frequency domain methods, this paper proposes a systematic procedure to address the limit cycle prediction of a neural vehicle control system with adjustable parameters. A simple neurocontroller can be linearized by using describing function method firstly. According to the classical method of parameter plane, the stability of linearized system with adjustable parameters is then considered. In addition, gain margin and phase margin for limit cycle generation are also analyzed by adding a gain-phase margin tester into open loop system. Computer simulations show the efficiency of this approach.

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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

  2. Department of Electronic Engineering, Chienkuo Technology University, No. 1, Chieh Shou N. Rd, Changhua City, Taiwan, ROC

    Li-Shan Ma

  3. Institute of Electrical Control Engineering, National Chiao Tung University, No. 1001, Ta Hsueh Road, Hsinchu, 300, Taiwan, ROC

    Li-Shan Ma & Bing-Fei Wu

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  1. Jau-Woei Perng
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  2. Li-Shan Ma
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  3. Bing-Fei Wu
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Correspondence to Jau-Woei Perng.

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Perng, JW., Ma, LS. & Wu, BF. Limit cycle prediction of a neurocontrol vehicle system based on gain-phase margin analysis. Neural Comput & Applic 19, 565–571 (2010). https://doi.org/10.1007/s00521-009-0319-2

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  • DOI: https://doi.org/10.1007/s00521-009-0319-2

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