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An adaptive internal model control based on LS-SVM

  • Southeast University, Nanjing
  • Hohai University

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
主期刊名Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
出版商Springer Verlag
479-485
页数7
版本PART 3
ISBN(印刷版)9783540723943
DOI
出版状态已出版 - 2007
已对外发布
活动4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, 中国
期限: 3 6月 20077 6月 2007

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 3
4493 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议4th International Symposium on Neural Networks, ISNN 2007
国家/地区中国
Nanjing
时期3/06/077/06/07

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