WSEAS Transactions on Systems and Control

Print ISSN: 1991-8763
E-ISSN: 2224-2856

Volume 12, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 12, 2017

LSSVM Predictive Control Based on Improved Free Search Algorithm for Nonlinear Systems

AUTHORS: Tian Zhongda, Li Shujiang, Wang Yanhong, Zhang Chao

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ABSTRACT: In order to improve control performance of nonlinear systems, a predictive control method based on improved free search algorithm and least square support vector machine was proposed. This predictive control method utilized least square support vector machine to estimate the nonlinear system model and forecast the output value. The output error is reduced through output feedback and error correction. The rolling optimization of control values are obtained through an improved free search algorithm. This predictive control method can be used to design effective controllers for nonlinear systems with unknown mathematical models. Through the simulation experiment of single variable and multivariable nonlinear systems, the simulation results shown that the predictive control method has an excellent adaptive ability and robustness.

KEYWORDS: nonlinear systems, predictive control, improved free search algorithm, least square support, vector machine


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WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 12, 2017, Art. #18, pp. 175-182

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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