Design of a Self-Tuning PID Controller Using Evolutionary Computation and Its Experimental Evaluation

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概要

• 論文の詳細を見る

著者

• YAMAMOTO Toru

  Hiroshima University

• Fukumi Minoru

  Univ. Of Tokushima

• MITSUKURA Yasue

  Univ. of Tokushima

• KANEDA Masahiro

  Okayama Prefectural Univ.

• AKAMATSU Norio

  Univ. of Tokushima

• SHAH Sirish

  Univ. of Alberta

• Yamamoto T

  Graduate School Of Engineering Hokkaido University

• Mitsukura Yasue

  The Author Is With The Faculty Of Engineering University Of Tokushima

• Kaneda M

  The Author Is With The Faculty Of Computer Science And Systems Engineering Okayama Prefectural Unive

関連論文

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• Design of a Self-Tuning PID Controller Using Evolutionary Computation and Its Experimental Evaluation
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• Memory-based IMC Tuning of PID Controllers for Nonlinear Systems
• A Design of Neural-Net Based PID Controllers with Evolutionary Computation(Systems and Control)
• A Design of Model Driven Cascade PID Controllers Using a Neural Network(Nonlinear Theory and its Applications)
• Genetic Tuning Scheme of PID Parameters for First-Order Systems with Large Dead Times
• Recursive Computation of Static Output Feedback Stochastic Nash Games for Weakly-Coupled Large-Scale Systems
• Stochastic H_∞ Control Problem with State-Dependent Noise for Weakly Coupled Large-Scale Systems

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