Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H 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...
Among the many techniques for designing linear multivariable analogue controllers, the two most popular optimal ones are H2 and H optimization. The fa...
This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed.
The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples...
This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance whe...
