{"product_id":"9783658330330","title":"Reinforcement Learning Aided Performance Optimization of Feedback Control Systems (1st ed. 2021. 2021. xix, 127 S. 53 SW-Abb. 210 mm)","description":"\u003cp\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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\n\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe author:\u003c\/b\u003e\u003c\/p\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.\n\n Introduction.- The basics of feedback control systems.- Reinforcement learning and feedback control.- Q-learning aided performance optimization of deterministic systems.- NAC aided performance optimization of stochastic systems.- Conclusion and future work. \u003cp\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.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e","brand":"SPRINGER, BERLIN; SPRINGER FACHMEDIEN WIESBADEN; SPRI","offers":[{"title":"Default Title","offer_id":48827817951467,"sku":"00000_00000_00000_00000","price":146.47,"currency_code":"SGD","in_stock":true}],"url":"https:\/\/kinokuniya.com.sg\/products\/9783658330330","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}