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Experimental Study on Improved Differential Evolution for System Identification of Hammerstein Model and Wiener Model

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Proceedings of 2013 Chinese Intelligent Automation Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 254))

Abstract

For nonlinear system of the Hammerstein model and Wiener model, a method for nonlinear system identification is proposed based on differential evolution Algorithm (DE). The based idea of the method is that the problem of nonlinear system identification is changed into optimization problems in parameter space. In order to enhance the performance of the DE identification, put forward a kind of adaptive mutation differential evolution algorithm for scaling factor (MDE), and on this basis, we make an improvement on crossover to make a better performance. To make an analysis for particle swarm optimization (PSO), DE and improved DE, the improvement DE has higher accurate and recognition ability, stronger convergence.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (21206053,21276111); General Financial Grant from China Postdoctoral Science Foundation (2012M511678); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

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Authors and Affiliations

  1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Automation Institute of Jiangnan University, Wuxi, Jiangsu , China

    Weili Xiong, Minfang Chen, Le Yao & Baoguo Xu

  2. Room C421 in School of Internet of Things Engineering, Lihu Campus in Jiangnan University, Wuxi, Jiangsu Province

    Weili Xiong, Minfang Chen, Le Yao & Baoguo Xu

Authors
  1. Weili Xiong
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  2. Minfang Chen
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  3. Le Yao
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  4. Baoguo Xu
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Corresponding author

Correspondence to Weili Xiong .

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Editors and Affiliations

  1. , Department of Computer Science, Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zengqi Sun

  2. Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zhidong Deng

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Xiong, W., Chen, M., Yao, L., Xu, B. (2013). Experimental Study on Improved Differential Evolution for System Identification of Hammerstein Model and Wiener Model. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38524-7_8

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  • DOI: https://doi.org/10.1007/978-3-642-38524-7_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38523-0

  • Online ISBN: 978-3-642-38524-7

  • eBook Packages: EngineeringEngineering (R0)

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