Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants

Daniel W.C. Hot; Z. Ma

doi:10.1109/ACC.1998.694725

Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants

Daniel W.C. Hot
, Z. Ma

Department of Mathematics

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

13 Citations (Scopus)

Abstract

Combining neural network identification technique and internal model control (IMC) strategy, a novel non-parametric design for nonlinear plants is presented. Based on this idea, a multivariable adaptive decoupling internal model controller (DIMC) is developed to deal with multivariable nonlinear coupling systems with unknown structure and parameters. A neural network is used to detect the unknown nonlinear internal model. One advantage is that the design does not require the computation of the inverse model of the IMC parameters, but only depends on system input-output data and neural network output. © 1998 AACC.

Original language	English
Title of host publication	Proceedings of the 1998 American Control Conference, ACC 1998
Publisher	IEEE
Pages	532-536
Volume	1
ISBN (Print)	0780345304, 9780780345300
DOIs	https://doi.org/10.1109/ACC.1998.694725
Publication status	Published - 1998
Event	1998 American Control Conference, ACC 1998 - Philadelphia, PA, United States Duration: 24 Jun 1998 → 26 Jun 1998

Publication series

Name	Proceedings of the American Control Conference
Volume	1
ISSN (Print)	0743-1619

Conference

Conference	1998 American Control Conference, ACC 1998
Place	United States
City	Philadelphia, PA
Period	24/06/98 → 26/06/98

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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10.1109/ACC.1998.694725

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Cite this

@inproceedings{124b018ebb324c20b898877a829a3a27,

title = "Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants",

abstract = "Combining neural network identification technique and internal model control (IMC) strategy, a novel non-parametric design for nonlinear plants is presented. Based on this idea, a multivariable adaptive decoupling internal model controller (DIMC) is developed to deal with multivariable nonlinear coupling systems with unknown structure and parameters. A neural network is used to detect the unknown nonlinear internal model. One advantage is that the design does not require the computation of the inverse model of the IMC parameters, but only depends on system input-output data and neural network output. {\textcopyright} 1998 AACC.",

author = "Hot, \{Daniel W.C.\} and Z. Ma",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 1998 American Control Conference, ACC 1998 ; Conference date: 24-06-1998 Through 26-06-1998",

year = "1998",

doi = "10.1109/ACC.1998.694725",

language = "English",

isbn = "0780345304",

volume = "1",

series = "Proceedings of the American Control Conference",

publisher = "IEEE",

pages = "532--536",

booktitle = "Proceedings of the 1998 American Control Conference, ACC 1998",

address = "United States",

}

Hot, DWC & Ma, Z 1998, Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants. in Proceedings of the 1998 American Control Conference, ACC 1998. vol. 1, 694725, Proceedings of the American Control Conference, vol. 1, IEEE, pp. 532-536, 1998 American Control Conference, ACC 1998, Philadelphia, PA, United States, 24/06/98. https://doi.org/10.1109/ACC.1998.694725

Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants. / Hot, Daniel W.C.; Ma, Z.
Proceedings of the 1998 American Control Conference, ACC 1998. Vol. 1 IEEE, 1998. p. 532-536 694725 (Proceedings of the American Control Conference; Vol. 1).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants

AU - Hot, Daniel W.C.

AU - Ma, Z.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1998

Y1 - 1998

N2 - Combining neural network identification technique and internal model control (IMC) strategy, a novel non-parametric design for nonlinear plants is presented. Based on this idea, a multivariable adaptive decoupling internal model controller (DIMC) is developed to deal with multivariable nonlinear coupling systems with unknown structure and parameters. A neural network is used to detect the unknown nonlinear internal model. One advantage is that the design does not require the computation of the inverse model of the IMC parameters, but only depends on system input-output data and neural network output. © 1998 AACC.

AB - Combining neural network identification technique and internal model control (IMC) strategy, a novel non-parametric design for nonlinear plants is presented. Based on this idea, a multivariable adaptive decoupling internal model controller (DIMC) is developed to deal with multivariable nonlinear coupling systems with unknown structure and parameters. A neural network is used to detect the unknown nonlinear internal model. One advantage is that the design does not require the computation of the inverse model of the IMC parameters, but only depends on system input-output data and neural network output. © 1998 AACC.

UR - https://www.scopus.com/pages/publications/0012332816

UR - https://www.scopus.com/pages/publications/0012332816#tab=impact

U2 - 10.1109/ACC.1998.694725

DO - 10.1109/ACC.1998.694725

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0780345304

SN - 9780780345300

VL - 1

T3 - Proceedings of the American Control Conference

SP - 532

EP - 536

BT - Proceedings of the 1998 American Control Conference, ACC 1998

PB - IEEE

T2 - 1998 American Control Conference, ACC 1998

Y2 - 24 June 1998 through 26 June 1998

ER -

Multivariable internal model adaptive decoupling controller with neural network for nonlinear plants

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