Guest Editorial for Special Issue on Extensions of Reinforcement Learning and Adaptive Control

作     者：Frank L.Lewis Warren Dixon Zhongsheng Hou Tansel Yucelen 

作者机构：Institute of Measurement&ControlPE TexasU.K IEEE Control Systems Society(CSS) Operations for the Executive Committee of the IEEE CSS Board of Governors the Harbin Institute of Technology the Advanced Control Systems LabBeijing Jiaotong University the Department of Automatic Control in School of Electronic and Information EngineeringBeijing Jiaotong University Mechanical and Aerospace Engineering Department at the Missouri University of Science and Technology Advanced Systems Research Laboratory at the Missouri University of Science and Technology 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2014年第1卷第3期

页      面：225-226页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

主　　题：Special issues and sections Learning (artificial intelligence) Adaptive control Feedback 

摘      要：ADAPTIVE control is a proven method for learning feedback controllers for systems with unknown dynamic models,exogenous disturbances,nonzero setpoints,and unmodeled *** control has been applied for years in process control,industry,aerospace systems。