PID controller tuning based on the covariance matrix adaptation evolution strategy (特集 進化技術の基礎と応用)

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概要

• 論文の詳細を見る

• The covariance matrix adaptation evolution strategy (CMA-ES) is a kind of stochastic optimization such as particle swarm optimization (PSO), and has been shown to have a good performance. However, there are few control applications of the CMA-ES except for only one paper. This paper deals with a PID control problem with constraints on sensitivity and complementary sensitivity functions, and proposes a PID controller tuning method based on the CMA-ES. Numerical examples are given to show the effectiveness of the proposed method in comparison with the recently proposed PSO-based method.

• 2010-05-01

著者

• WAKASA Yuji

  Graduate School of Science and Engineering, Yamaguchi University

• KANAGAWA Shinji

  Graduate School of Science and Engineering, Yamaguchi University

• TANAKA Kanya

  Graduate School of Science and Engineering, Yamaguchi University

• NISHIMURA Yuki

  Graduate School of Science and Engineering, Yamaguchi University

• Tanaka Kanya

  Graduate School Of Sci. And Engineering Yamaguchi Univ.

• Tanaka Kanya

  Graduate School Of Science And Engineering Yamaguchi University

• Nishimura Yuki

  Graduate School Of Science And Engineering Yamaguchi University

• Wakasa Yuji

  Graduate School Of Sci. And Engineering Yamaguchi Univ.

• Wakasa Yuji

  Graduate School Of Science And Engineering Yamaguchi University

• Kanagawa Shinji

  Graduate School Of Science And Engineering Yamaguchi University

• Nishimura Yuki

  Graduate School Of Sci. And Engineering Yamaguchi Univ.

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