Stabilizing and Optimizing Control for Time-Delay Systems

Zusatztext

<p><i>Stabilizing and Optimizing Control for Time-Delay Systems</i> introduces three important classes of stabilizing controls for time-delay systems: non-optimal (without performance criteria); suboptimal (including guaranteed costs); and optimal controls. Each class is treated in detail and compared in terms of prior control structures. State- and input-delayed systems are considered. The book provides a unified mathematical framework with common notation being used throughout.</p>Receding-horizon, or model predictive, linear quadratic (LQ), linear-quadratic-Gaussian and H controls for time-delay systems are chosen as optimal stabilizing controls. Cost monotonicity is investigated in order to guarantee the asymptotic stability of closed-loop systems operating with such controls.<p></p><p>The authors use guaranteed LQ and <i>H</i> controls as representative sub-optimal methods; these are obtained with pre-determined control structures and certain upper bounds of performance criteria. Non-optimal stabilizing controls are obtained with predetermined control structures but with no performance criteria. Recently developed inequalities are exploited to obtain less conservative results.</p><p>To facilitate computation, the authors use linear matrix inequalities to represent gain matrices for non-optimal and sub-optimal stabilizing controls, and all the initial conditions of coupled differential Riccati equations of optimal stabilizing controls. Numerical examples are provided with MATLAB® codes (downloadable from http://extras.springer.com/) to give readers guidance in working with more difficult optimal and suboptimal controls.</p><p>Academic researchers studying control of a variety of real processes in chemistry, biology, transportation, digital communication networks and mechanical systems that are subject to time delays will find the results presented in <i>Stabilizing and Optimizing Control for Time-Delay Systems</i> to be helpfulin their work. Practitioners working in related sectors of industry will also find this book to be of use in developing real-world control systems for the many time-delayed processes they encounter.</p>

Autorenportrait

<b>Wook Hyun Kwon</b> received B.S. and M.S. degrees in electrical engineering from Seoul National University in 1966 and 1972, respectively, and a Ph D. degree from Brown University in 1975. He was an adjunct assistant professor at the University of lowa (1976-1977). He has been with Seoul National University since 1977, where he is currently a professor emeritus of School of Electrical and Computer Engineering since 2008. He was a visiting assistant professor at Stanford University in 1981-1982. He was a chair professor of DGIST (Daegu Gyeongbuk Institute of Science and Technology) in 2010-2014. Between 2005 and 2008 Professor Kwon served as President of the International Federation of Automatic Control.<div> </div><div><b>PooGyeon Park</b> received B.S. and M.S. degrees in electrical engineering from Seoul National University in 1988 and 1990, respectively, and a Ph D. degree from Stanford University in 1995. He has been with POSTECH (Pohang University of Science and Technology)since 1996, where he is currently a professor of Department of Electrical Engineering since 2005. </div>

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