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.

Robust control originates with the need to cope with systems with modeling uncertainty. There have been several mathematical techniques developed for robust control system analysis. The articles in this volume cover all of the major research directions in the field.

This is a collection of articles by friends, co-authors, colleagues, and students of Keith Glover, Professor of Engineering at the University of Cambridge, on the occasion of his 60th birthday. Professor Glover's work spans a variety of topics, including system identification, model reduction and approximation, robust controller synthesis, and control of aircraft and engines. The collection is a tribute to Professor Glover's seminal work in these areas.

This book incorporates data rate issues that arise in control design for systems involving communication networks. The general setup is that, given a plant, a communication channel with limited data rate and control objectives, one must find a controller that uses the channel in the feedback loop to achieve the control objectives. The theoretical question of interest is to find the minimum data rate necessary for the channel. This book is motivated by the recent developments in communication technology and aims at engineers and scientists in this field. The use of networks has become common practice in many control applications connecting sensors/actuators to controllers. The book therefore provides the fundamentals of the networks used in control systems, based on hybrid systems theory. The book focuses on the use of networks in distributed systems and on quantization in messages sent over networks.

This volume is the proceedings of a conference held May 6 and 7, 1994 at McGill University in Montreal in honour of Professor George on the occasion of his 60th birthday. He has devoted most of his professional life to the subject of feedback control.
Invited speakers were internationally prominent researchers from the USA, Canada, UK and the Netherlands. Their papers cover various aspects of linear multivariable feedback control, nonlinear systems and the complexity of systems.

An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems. Its explorations of recent developments in the field emphasize the relationship of new procedures to classical control theory, with a focus on single input and output systems that keeps concepts accessible to students with limited backgrounds. The text is geared toward a single-semester senior course or a graduate-level class for students of electrical engineering.
The opening chapters constitute a basic treatment of feedback design. Topics include a detailed formulation of the control design program, the fundamental issue of performance/stability robustness tradeoff, and the graphical design technique of loopshaping. Subsequent chapters extend the discussion of the loopshaping technique and connect it with notions of optimality. Concluding chapters examine controller design via optimization, offering a mathematical approach that is useful for multivariable systems.