Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/51183
Title: Identification and control of piecewise affine systems using multiple models and model predictive control
Authors: Lai, C.Y.
Xiang, C. 
Lee, T.H. 
Keywords: Model predictive control
Piecewise affine system
System identification
Issue Date: 2010
Source: Lai, C.Y.,Xiang, C.,Lee, T.H. (2010). Identification and control of piecewise affine systems using multiple models and model predictive control. Proceedings of the 12th IASTED International Conference on Control and Applications, CA 2010 : 530-537. ScholarBank@NUS Repository.
Abstract: In this paper, a procedure for the identification and control of piecewise affine ARX systems is proposed. First, the parameters of the individual subsystems are identified through a least-squares based identification method using multiple models, followed by the estimation of the partition of the regressor space using standard procedures such as neural network classifier or support vector machine classifier. Having obtained the complete model of the piecewise affine ARX system, a model predictive controller is then derived to control the system for reference tracking. Simulation studies show that our algorithm can indeed provide accurate estimates of the plant parameters even in noisy cases, and that the proposed controller provides good tracking performance.
Source Title: Proceedings of the 12th IASTED International Conference on Control and Applications, CA 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/51183
ISBN: 9780889868526
Appears in Collections:Staff Publications

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