Optimal Sampled-Data Control Systems

Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H-infinity optimization. The fact that most new industrial controllers are digital provides strong motivation for adapting or extending these techniques to digital control systems. This book, now available as a corrected reprint, attempts to do so. Part I presents two indirect methods of sampled-data controller design: These approaches include approximations to a real problem, which involves an analogue plant, continuous-time performance specifications, and a sampled-data controller. Part II proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying. The findings are presented in forms that can readily be programmed in, e.g., MATLAB.

Autorentext

Jiandong Wang is presently a professor with the College of Electrical Engineering and Automation at the Shandong University of Science and Technology, Qingdao, Shandong Province, China. He received the B.E. degree in automatic control from Beijing University of Chemical Technology, Beijing, China, in 1997, and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Alberta, Canada, in 2003 and 2007, respectively. From 1997 to 2001, he was a control engineer with the Beijing Tsinghua Energy Simulation Company, Beijing, China. From February 2006 to August 2006, he was a visiting scholar at the Department of System Design Engineering at the Keio University, Japan. From December 2006 to October 2016, he was an assistant/associate/full professor with the College of Engineering, Peking University, Beijing, China. His research interests include process monitoring, system identification, optimal scheduling and their applications to industrial problems in the field of Electrical and Chemical Engineering. He is a Senior Member of IEEE, and TaiShan Scholar in Shandong Province. Wenkai Hu is currently a Professor at the School of Automation at China University of Geosciences, Wuhan, China. He received the B.Eng. and M.Sc. degrees in Power and Mechanical Engineering from Wuhan University, Wuhan, Hubei, China, in 2010 and 2012, respectively, and the Ph.D. degree in Electrical and Computer Engineering from the University of Alberta in 2016. He was a Post-Doctoral Fellow from October 2016 to September 2018, and a research associate from November 2018 to February 2019 at the University of Alberta. His research interests include advanced alarm monitoring, process control, and data mining for complex industrial processes. He is a Senior Member of IEEE. Tongwen Chen is presently a Professor and Tier 1 Canada Research chair in Intelligent Monitoring and Control in the Department of Electrical and Computer Engineering at the University of Alberta, Edmonton, Canada. He received the B.Eng. degree in Automation and Instrumentation from Tsinghua University (Beijing) in 1984, and the M.A.Sc. and Ph.D. degrees in Electrical Engineering from the University of Toronto in 1988 and 1991, respectively. His research interests include computer and network-based control systems, process safety and alarm systems, and their applications to the process and power industries. He is a Fellow of IEEE, International Federation of Automatic Control (IFAC), the Royal Society of Canada, as well as the Canadian Academy of Engineering.

Inhalt
1 Introduction.- 1.1 Sampled-Data Systems.- 1.2 Approaches to SD Controller Design.- 1.3 Notation.- 1 Indirect Design Methods.- 2 Overview of Continuous-Time H2- and H?-Optimal Control.- 3 Discretization.- 4 Discrete-Time Systems: Basic Concepts.- 5 Discrete-Time Feedback Systems.- 6 Discrete-Time H2-Optimal Control.- 7 Introduction to Discrete-Time H?-Optimal Control.- 8 Fast Discretization of SD Feedback Systems.- II Direct SD Design.- 9 Properties of S and H.- 10 Continuous Lifting.- 11 Stability and Tracking in SD Systems.- 12 H2-Optimal SD Control.- 13 H?-Optimal SD Control.- A State Models.