An adaptive internal model control based on LS-SVM

Changyin Sun; Jinya Song

doi:10.1007/978-3-540-72395-0_61

An adaptive internal model control based on LS-SVM

Changyin Sun
, Jinya Song

Southeast University, Nanjing
Hohai University

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

4 Scopus citations

Abstract

Based on least squares support vector machines regression algorithm, reverse model of system model is constructed, and adaptive internal model controller is developed in this paper. First, least squares support vector machine (LS-SVM) regression model and its training algorithm are introduced, provides SMO-based on pruning algorithms for LS-SVM. Then it is used in adaptive internal model control (IMC) for constructing internal model and designing the internal model controller. At last, LS-SVM regression based adaptive internal model control is used to control a benchmark nonlinear system. Simulation results show that the controller has simple structure, good control performance and robustness.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
Publisher	Springer Verlag
Pages	479-485
Number of pages	7
Edition	PART 3
ISBN (Print)	9783540723943
DOIs	https://doi.org/10.1007/978-3-540-72395-0_61
State	Published - 2007
Externally published	Yes
Event	4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, China Duration: 3 Jun 2007 → 7 Jun 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	4493 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Symposium on Neural Networks, ISNN 2007
Country/Territory	China
City	Nanjing
Period	3/06/07 → 7/06/07

Access to Document

10.1007/978-3-540-72395-0_61

Cite this

Sun, C., & Song, J. (2007). An adaptive internal model control based on LS-SVM. In Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings (PART 3 ed., pp. 479-485). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4493 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/978-3-540-72395-0_61

Sun, Changyin ; Song, Jinya. / An adaptive internal model control based on LS-SVM. Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 3. ed. Springer Verlag, 2007. pp. 479-485 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

@inproceedings{3d605afb99104c2c9bf9291f2d28743c,

title = "An adaptive internal model control based on LS-SVM",

abstract = "Based on least squares support vector machines regression algorithm, reverse model of system model is constructed, and adaptive internal model controller is developed in this paper. First, least squares support vector machine (LS-SVM) regression model and its training algorithm are introduced, provides SMO-based on pruning algorithms for LS-SVM. Then it is used in adaptive internal model control (IMC) for constructing internal model and designing the internal model controller. At last, LS-SVM regression based adaptive internal model control is used to control a benchmark nonlinear system. Simulation results show that the controller has simple structure, good control performance and robustness.",

author = "Changyin Sun and Jinya Song",

year = "2007",

doi = "10.1007/978-3-540-72395-0\_61",

language = "英语",

isbn = "9783540723943",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

number = "PART 3",

pages = "479--485",

booktitle = "Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings",

edition = "PART 3",

note = "4th International Symposium on Neural Networks, ISNN 2007 ; Conference date: 03-06-2007 Through 07-06-2007",

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Sun, C & Song, J 2007, An adaptive internal model control based on LS-SVM. in Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 4493 LNCS, Springer Verlag, pp. 479-485, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, 3/06/07. https://doi.org/10.1007/978-3-540-72395-0_61

An adaptive internal model control based on LS-SVM. / Sun, Changyin; Song, Jinya.
Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 3. ed. Springer Verlag, 2007. p. 479-485 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4493 LNCS, No. PART 3).

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

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AU - Song, Jinya

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N2 - Based on least squares support vector machines regression algorithm, reverse model of system model is constructed, and adaptive internal model controller is developed in this paper. First, least squares support vector machine (LS-SVM) regression model and its training algorithm are introduced, provides SMO-based on pruning algorithms for LS-SVM. Then it is used in adaptive internal model control (IMC) for constructing internal model and designing the internal model controller. At last, LS-SVM regression based adaptive internal model control is used to control a benchmark nonlinear system. Simulation results show that the controller has simple structure, good control performance and robustness.

AB - Based on least squares support vector machines regression algorithm, reverse model of system model is constructed, and adaptive internal model controller is developed in this paper. First, least squares support vector machine (LS-SVM) regression model and its training algorithm are introduced, provides SMO-based on pruning algorithms for LS-SVM. Then it is used in adaptive internal model control (IMC) for constructing internal model and designing the internal model controller. At last, LS-SVM regression based adaptive internal model control is used to control a benchmark nonlinear system. Simulation results show that the controller has simple structure, good control performance and robustness.

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DO - 10.1007/978-3-540-72395-0_61

M3 - 会议稿件

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SN - 9783540723943

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings

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T2 - 4th International Symposium on Neural Networks, ISNN 2007

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ER -

Sun C, Song J. An adaptive internal model control based on LS-SVM. In Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 3 ed. Springer Verlag. 2007. p. 479-485. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/978-3-540-72395-0_61

An adaptive internal model control based on LS-SVM

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