Scholarlink

<p>In many practical applications, time-varying systems make it difficult to obtain accurate mathematical models. In such cases, it is desirable to design controllers that can adapt to changing environments directly from data. This paper proposes a novel data-driven real-time tuning method for the feedforward controller in two-degree-of-freedom control systems. The method extends the estimated response iterative tuning (ERIT) approach, originally developed for offline tuning, to a real-time framework. We also prove the stability of the proposed control scheme using the key technical lemma and confirm its effectiveness through experimental validation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Real-time Feedforward Controller Tuning Based on Estimated Response Iterative Tuning

  • 期刊论文

  • 发表日期：

    2025年10月16日

查看全文
  • Taichi Ikezaki,
  • Osamu Kaneko

摘要

In many practical applications, time-varying systems make it difficult to obtain accurate mathematical models. In such cases, it is desirable to design controllers that can adapt to changing environments directly from data. This paper proposes a novel data-driven real-time tuning method for the feedforward controller in two-degree-of-freedom control systems. The method extends the estimated response iterative tuning (ERIT) approach, originally developed for offline tuning, to a real-time framework. We also prove the stability of the proposed control scheme using the key technical lemma and confirm its effectiveness through experimental validation.