Differential Linear Matrix Inequalities: In Sampled-Data Systems Filtering and Control by José C. Geromel
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Overview: This book is entirely devoted to sampled-data control systems analysis and design from a new point of view, which has at its core a mathematical tool named Differential Linear Matrix Inequality – DLMI, a natural generalization of Linear Matrix Inequality – LMI, that had an important and deep impact on systems and control theory almost thirty years ago. It lasts until now. It is shown that the DLMI is well adapted to deal with the important class of sampled-data control systems in both theoretical and numerical contexts. All design conditions are expressed by convex programming problems, including when robustness against parameter uncertainty is assessed and imposed through state feedback control.
Genre: Non-Fiction > Educational
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