Linear Matrix Inequalities in System and Control Theory

In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.

Author: Stephen Boyd, Laurent El Ghaoul, Eric Feron
Binding Type: Paperback
Publisher: Society for Industrial and Applied Mathematic
Published: 01/01/1987
Series: Studies in Applied and Numerical Mathematics #15
Pages: 203
ISBN: 9780898714852
Revised Edition