期刊
ISA TRANSACTIONS
卷 49, 期 3, 页码 376-386出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2010.03.013
关键词
Generalized predictive control; MIMO modeling; MIMO control; Support vector machines
资金
- Scientific and Technological Research Council of Turkey (TUBITAK) [106E125]
This paper presents a support vector machine (SVM) approach to generalized predictive control (GPC) of multiple-input multiple-output (MIMO) nonlinear systems. The possession of higher generalization potential and at the same time avoidance of getting stuck into the local minima have motivated us to employ SVM algorithms for modeling MIMO systems. Based on the SVM model, detailed and compact formulations for calculating predictions and gradient information, which are used in the computation of the optimal control action, are given in the paper. The proposed MIMO SVM-based GPC method has been verified on an experimental three-tank liquid level control system. Experimental results have shown that the proposed method can handle the control task successfully for different reference trajectories. Moreover, a detailed discussion on data gathering, model selection and effects of the control parameters have been given in this paper. (C) 2010 ISA. Published by Elsevier Ltd. All rights reserved.
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