Multi-model recursive identification for nonlinear systems with non-uniformly sampling |
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| Authors: | Ranran Liu Tianhong Pan Zhengming Li |
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| Institution: | 1.School of Automotive and Traffic Engineering,Jiangsu University of Technology,Changzhou,China;2.School of Electrical and Information Engineering,Jiangsu University,Zhenjiang,China |
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| Abstract: | A recursive least squares based on Multi-model is proposed for non-uniformly sampled-data nonlinear (NUSDN) systems. The corresponding state space model of an NUSDN system is derived using lifting technique. Taking advantage of the Fuzzy c-Mean Clustering algorithm, NUSDN is divided into several local models. The basic idea is that the NUSDN system is viewed as a model switching system under a given rule. Once the local models are identified, the global model is determined. A pH neutralization process validate the performance of the proposed algorithm. |
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