Stability of Parallel Learning Control Systems

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概要

• 論文の詳細を見る

• This paper deals with the eigenvalue problem of a multiple eigenvalue filter which was proposed in the previous paper. The system with the proposed filter derived by means of parallel learning not only reduces control variable deviation without losing stability, but also has PID (Proportional, Integral and Derivative) control action although the original control system before learning only has just proportional control action. In this paper, the reason for what is shown from the viewpoint of an eigenvalue problem and Nyquist stability criterion.

• 一般社団法人日本機械学会の論文
• 1996-06-15

著者

• Isomura Shuichi

  Department Of Mechanical Engineering Takamatsu National College Of Technology

関連論文

• Stability of Parallel Learning Control Systems
• Parallel Learning in Control Systems : Derivation of Multiple Eigenvalue Filter

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