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Control Strategy and Simulation for a Class of Nonlinear Discrete Systems with Neural Network

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Book cover Intelligent Computing and Internet of Things (ICSEE 2018, IMIOT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 924))

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Abstract

A PID algorithm based on multi-layer neural network training is presented in this paper. The indirect automatic tuning controller for nonlinear discrete systems adopts a learning algorithm. The problem is to select bounded control so that the system output is as close as possible to the required value. Finally, an example is given to show that the proposed controller is effective.

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Author information

Authors and Affiliations

  1. Department of Communication Engineering, Chongqing College of Electronic Engineering, Chongqing, China

    Peng Liu

Authors
  1. Peng Liu
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Corresponding author

Correspondence to Peng Liu .

Editor information

Editors and Affiliations

  1. The University of Leeds, Leeds, UK

    Kang Li

  2. Shanghai University, Shanghai, China

    Minrui Fei

  3. Shanghai University, Shanghai, China

    Dajun Du

  4. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Zhile Yang

  5. Northeastern University, Shenyang, China

    Dongsheng Yang

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Liu, P. (2018). Control Strategy and Simulation for a Class of Nonlinear Discrete Systems with Neural Network. In: Li, K., Fei, M., Du, D., Yang, Z., Yang, D. (eds) Intelligent Computing and Internet of Things. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-2384-3_42

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  • DOI: https://doi.org/10.1007/978-981-13-2384-3_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2383-6

  • Online ISBN: 978-981-13-2384-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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