Machine Learning Based H2 Norm Minimization for Maglev Vibration Isolation Platform

Creative Commons License

Erkan K., Yalçın B. C., Bozkurt A. F.

Intelligent Systems and Applications, Kohei Arai, Editör, Springer, London/Berlin , Zürich, ss.100-114, 2021

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2021
  • Yayınevi: Springer, London/Berlin 
  • Basıldığı Şehir: Zürich
  • Sayfa Sayıları: ss.100-114
  • Editörler: Kohei Arai, Editör
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Recent advancements in computational power technology

and wide-usage of high qualified electronic hardware allow many engineers

to create their control strategies in data-driven and model-free

approaches, such as reinforcement-learning, genetic algorithm and other

machine learning topics, rather than classical and modern control

approaches. In this study, Q-Learning RL algorithm combined with analytic

LMI method has been utilized to solve micro-scale vibration isolation

problem as energy efficient as possible.