Differential Linear Matrix Inequalities: In Sampled-Data Systems Filtering and Control - Softcover

Über die Autorin bzw. den Autor

In 1999, he was named Chevalier dans l’ Ordre des Palmes Acad´emiques by the French Minister of National Education. In 2010, he received the Docteur Honoris Causa degree from University Paul Sabatier, Toulouse, France and was named a member of the Brazilian Order of Scientific Merit by the President of the Federative Republic of Brazil. In 2011, he was named Distinguished Lecturer by the IEEE Control Systems Society. In 2018, he was promoted to Gr˜a-Cruz of the Brazilian Order of Scientific Merit.  

He is co-author of the books Control Theory and Design - with P. Colaneri and A. Locatelli, Academic Press, 1997, An´alise Linear de Sistemas Dinˆamicos, (in Portuguese), - with A. G. B. Palhares, Edgard Blucher, 2004, Controle Linear de Sistemas Dinˆamicos, (in Portuguese), - with R. H. Korogui, Edgard Blucher, 2011, and An´alise Linear de Sinais, (in Portuguese), - with G. S. Deaecto, Edgard Blucher, 2019. 

His research papers and books have received so far 15, 526 citations (h = 59) in Google Scholar and 8, 722 citations (h = 46) in Web of Science platforms.  

Von der hinteren Coverseite

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.