Limit cycle prediction of a neural vehicle control system with gain-phase margin tester

Jau Woei Perng; Bing-Fei Wu; Tsu Tian Lee

doi:10.1109/IJCNN.2006.247200

Limit cycle prediction of a neural vehicle control system with gain-phase margin tester

Jau Woei Perng^*, Bing-Fei Wu, Tsu Tian Lee

^*Corresponding author for this work

National Chiao Tung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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.

Original language	English
Title of host publication	International Joint Conference on Neural Networks 2006, IJCNN '06
Pages	4972-4977
Number of pages	6
DOIs	https://doi.org/10.1109/IJCNN.2006.247200
State	Published - 1 Dec 2006
Event	International Joint Conference on Neural Networks 2006, IJCNN '06 - Vancouver, BC, Canada Duration: 16 Jul 2006 → 21 Jul 2006

Publication series

Name	IEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)	1098-7576

Conference

Conference	International Joint Conference on Neural Networks 2006, IJCNN '06
Country	Canada
City	Vancouver, BC
Period	16/07/06 → 21/07/06

Access to Document

10.1109/IJCNN.2006.247200

Link to publication in Scopus

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Perng, J. W., Wu, B-F., & Lee, T. T. (2006). Limit cycle prediction of a neural vehicle control system with gain-phase margin tester. In International Joint Conference on Neural Networks 2006, IJCNN '06 (pp. 4972-4977). [1716791] (IEEE International Conference on Neural Networks - Conference Proceedings). https://doi.org/10.1109/IJCNN.2006.247200

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title = "Limit cycle prediction of a neural vehicle control system with gain-phase margin tester",

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.",

author = "Perng, {Jau Woei} and Bing-Fei Wu and Lee, {Tsu Tian}",

year = "2006",

month = dec,

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doi = "10.1109/IJCNN.2006.247200",

language = "English",

isbn = "0780394909",

series = "IEEE International Conference on Neural Networks - Conference Proceedings",

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Perng, JW, Wu, B-F & Lee, TT 2006, Limit cycle prediction of a neural vehicle control system with gain-phase margin tester. in International Joint Conference on Neural Networks 2006, IJCNN '06., 1716791, IEEE International Conference on Neural Networks - Conference Proceedings, pp. 4972-4977, International Joint Conference on Neural Networks 2006, IJCNN '06, Vancouver, BC, Canada, 16/07/06. https://doi.org/10.1109/IJCNN.2006.247200

Limit cycle prediction of a neural vehicle control system with gain-phase margin tester. / Perng, Jau Woei; Wu, Bing-Fei; Lee, Tsu Tian.

International Joint Conference on Neural Networks 2006, IJCNN '06. 2006. p. 4972-4977 1716791 (IEEE International Conference on Neural Networks - Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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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