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 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.