Stable multiple model adaptive control of nonlinear multivariable discrete-time systems

Yue Fu; Tianyou Chai; Hong Wang

doi:10.1109/ACC.2009.5160165

Stable multiple model adaptive control of nonlinear multivariable discrete-time systems

Yue Fu, Tianyou Chai, Hong Wang

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

Abstract

In this paper, to further relax the restriction on the higher order nonlinearity in [7], a stable multiple model adaptive control (SMMAC) method is developed. First a new robust adaptive controller is designed, which can guarantee the stability of the closed-loop system. Then to improve the system performance, the SMMAC method is presented by switching between the robust adaptive controller and a conventional neural network (NN) adaptive controller. Theory analysis and simulation results are presented to show the effectiveness of the proposed method. © 2009 AACC.

Original language	English
Title of host publication	Proceedings of the American Control Conference\|Proc Am Control Conf
Pages	5162-5167
Number of pages	5
DOIs	https://doi.org/10.1109/ACC.2009.5160165
Publication status	Published - 2009
Event	2009 American Control Conference, ACC 2009 - St. Louis, MO Duration: 1 Jul 2009 → …

Conference

Conference	2009 American Control Conference, ACC 2009
City	St. Louis, MO
Period	1/07/09 → …

Access to Document

10.1109/ACC.2009.5160165

Cite this

@inproceedings{45bf33fc67234d969b062d6160ce5e7a,

title = "Stable multiple model adaptive control of nonlinear multivariable discrete-time systems",

abstract = "In this paper, to further relax the restriction on the higher order nonlinearity in [7], a stable multiple model adaptive control (SMMAC) method is developed. First a new robust adaptive controller is designed, which can guarantee the stability of the closed-loop system. Then to improve the system performance, the SMMAC method is presented by switching between the robust adaptive controller and a conventional neural network (NN) adaptive controller. Theory analysis and simulation results are presented to show the effectiveness of the proposed method. {\textcopyright} 2009 AACC.",

author = "Yue Fu and Tianyou Chai and Hong Wang",

year = "2009",

doi = "10.1109/ACC.2009.5160165",

language = "English",

isbn = "9781424445240",

pages = "5162--5167",

booktitle = "Proceedings of the American Control Conference|Proc Am Control Conf",

note = "2009 American Control Conference, ACC 2009 ; Conference date: 01-07-2009",

}

TY - GEN

T1 - Stable multiple model adaptive control of nonlinear multivariable discrete-time systems

AU - Fu, Yue

AU - Chai, Tianyou

AU - Wang, Hong

PY - 2009

Y1 - 2009

N2 - In this paper, to further relax the restriction on the higher order nonlinearity in [7], a stable multiple model adaptive control (SMMAC) method is developed. First a new robust adaptive controller is designed, which can guarantee the stability of the closed-loop system. Then to improve the system performance, the SMMAC method is presented by switching between the robust adaptive controller and a conventional neural network (NN) adaptive controller. Theory analysis and simulation results are presented to show the effectiveness of the proposed method. © 2009 AACC.

AB - In this paper, to further relax the restriction on the higher order nonlinearity in [7], a stable multiple model adaptive control (SMMAC) method is developed. First a new robust adaptive controller is designed, which can guarantee the stability of the closed-loop system. Then to improve the system performance, the SMMAC method is presented by switching between the robust adaptive controller and a conventional neural network (NN) adaptive controller. Theory analysis and simulation results are presented to show the effectiveness of the proposed method. © 2009 AACC.

U2 - 10.1109/ACC.2009.5160165

DO - 10.1109/ACC.2009.5160165

M3 - Conference contribution

SN - 9781424445240

SP - 5162

EP - 5167

BT - Proceedings of the American Control Conference|Proc Am Control Conf

T2 - 2009 American Control Conference, ACC 2009

Y2 - 1 July 2009

ER -

Stable multiple model adaptive control of nonlinear multivariable discrete-time systems

Abstract

Conference

Access to Document

Fingerprint

Cite this