Multiple models intelligent control for a class of nonlinear systems

J. Y. Zhai; S. M. Fei; C. Y. Sun

Multiple models intelligent control for a class of nonlinear systems

J. Y. Zhai
, S. M. Fei
, C. Y. Sun

IEEE
Southeast University, Nanjing

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

2 Scopus citations

Abstract

It is difficult to realize control for some complex nonlinear systems operated in different operating regions. Based on developing local models for different operating regions of the process, a novel algorithm using multiple models is proposed. It utilizes dynamic model bank to establish multiple local models, and their membership functions are defined according to respective regions. Then the nonlinear system is approximated to a weighted combination of the local models. The stability of the nonlinear system is proven. Finally, simulations are given to demonstrate the validity of the proposed method.

Original language	English
Title of host publication	Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06
Pages	980-984
Number of pages	5
State	Published - 2006
Externally published	Yes
Event	2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06 - Ft. Lauderdale, FL, United States Duration: 23 Apr 2006 → 25 Apr 2006

Publication series

Name	Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

Conference

Conference	2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06
Country/Territory	United States
City	Ft. Lauderdale, FL
Period	23/04/06 → 25/04/06

Cite this

@inproceedings{1080bdb5f624452ab1b97d13649b68d8,

title = "Multiple models intelligent control for a class of nonlinear systems",

abstract = "It is difficult to realize control for some complex nonlinear systems operated in different operating regions. Based on developing local models for different operating regions of the process, a novel algorithm using multiple models is proposed. It utilizes dynamic model bank to establish multiple local models, and their membership functions are defined according to respective regions. Then the nonlinear system is approximated to a weighted combination of the local models. The stability of the nonlinear system is proven. Finally, simulations are given to demonstrate the validity of the proposed method.",

author = "Zhai, \{J. Y.\} and Fei, \{S. M.\} and Sun, \{C. Y.\}",

year = "2006",

language = "英语",

isbn = "1424400651",

series = "Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06",

pages = "980--984",

booktitle = "Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06",

note = "2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06 ; Conference date: 23-04-2006 Through 25-04-2006",

}

Zhai, JY, Fei, SM & Sun, CY 2006, Multiple models intelligent control for a class of nonlinear systems. in Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06., 1673282, Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06, pp. 980-984, 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06, Ft. Lauderdale, FL, United States, 23/04/06.

Multiple models intelligent control for a class of nonlinear systems. / Zhai, J. Y.; Fei, S. M.; Sun, C. Y.
Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06. 2006. p. 980-984 1673282 (Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06).

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

TY - GEN

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AU - Fei, S. M.

AU - Sun, C. Y.

PY - 2006

Y1 - 2006

N2 - It is difficult to realize control for some complex nonlinear systems operated in different operating regions. Based on developing local models for different operating regions of the process, a novel algorithm using multiple models is proposed. It utilizes dynamic model bank to establish multiple local models, and their membership functions are defined according to respective regions. Then the nonlinear system is approximated to a weighted combination of the local models. The stability of the nonlinear system is proven. Finally, simulations are given to demonstrate the validity of the proposed method.

AB - It is difficult to realize control for some complex nonlinear systems operated in different operating regions. Based on developing local models for different operating regions of the process, a novel algorithm using multiple models is proposed. It utilizes dynamic model bank to establish multiple local models, and their membership functions are defined according to respective regions. Then the nonlinear system is approximated to a weighted combination of the local models. The stability of the nonlinear system is proven. Finally, simulations are given to demonstrate the validity of the proposed method.

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M3 - 会议稿件

AN - SCOPUS:34250179181

SN - 1424400651

SN - 9781424400652

T3 - Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

SP - 980

EP - 984

BT - Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

T2 - 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

Y2 - 23 April 2006 through 25 April 2006

ER -

Multiple models intelligent control for a class of nonlinear systems

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