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PID Control Using Extended Non-minimal State Space Model Optimization

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Abstract

As a classic control strategy with simple structure, PID control has obtained a lot of applications in practical industrial processes [1,2,3,4]. It is known that the employment of traditional PID control in the processes with large time delay or strong nonlinearity may not achieve the desired control performance; meanwhile, there are challenges for conventional PID control to meet stricter and higher requirements with the rapid development of economy [5,6,7,8,9]. In order to enhance the control performance of PID control, many significant improvements have been presented [10,11,12,13,14].

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Author information

Authors and Affiliations

  1. Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

    Ridong Zhang

  2. Key Lab for IOT and Information Fusion Technology of Zhejiang, Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

    Anke Xue

  3. Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Hong Kong, China

    Furong Gao

Authors
  1. Ridong Zhang
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  2. Anke Xue
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  3. Furong Gao
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Corresponding author

Correspondence to Ridong Zhang .

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Zhang, R., Xue, A., Gao, F. (2019). PID Control Using Extended Non-minimal State Space Model Optimization. In: Model Predictive Control. Springer, Singapore. https://doi.org/10.1007/978-981-13-0083-7_7

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