{"product_id":"reinforcement-learning-aided-performance-optimization-of-feedback-control-systems-9783658330330","title":"Reinforcement Learning Aided Performance Optimization of Feedback Control Systems","description":"\u003cp\u003e • Author(s): Changsheng Hua\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer Vieweg\u003cbr\u003e • BISAC: Artificial Intelligence - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eChangsheng Hua proposes two approaches, an input\/output recovery approach and a performance index-based approach for robustness and performance optimization of feedback control systems. For their data-driven implementation in deterministic and stochastic systems, the author develops Q-learning and natural actor-critic (NAC) methods, respectively. Their effectiveness has been demonstrated by an experimental study on a brushless direct current motor test rig.\u003cbr\u003e\u003cb\u003eThe author: \u003c\/b\u003e\u003cb\u003eChangsheng Hua\u003c\/b\u003e received the Ph.D. degree at the Institute of Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Germany, in 2020. His research interests include model-based and data-driven fault diagnosis and fault-tolerant techniques.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45277498114199,"sku":"9783658330330","price":5094.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783658330330.webp?v=1769288549","url":"https:\/\/atlanticbooks.com\/products\/reinforcement-learning-aided-performance-optimization-of-feedback-control-systems-9783658330330","provider":"Atlantic Books","version":"1.0","type":"link"}