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.

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.