Linear matrix inequalities (LMIs) have recently emerged as useful tools for solving a number of control problems. This book provides an up-to-date account of the LMI method and covers topics such as recent LMI algorithms, analysis and synthesis issues, nonconvex problems, and applications. It also emphasizes applications of the method to areas other than control. S. P. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, SIAM ... to Convex Optimization with Engineering Applications, Course Notes, Information Systems Library, Stanford University, Stanford, CA, 1997 . ... and Determinant Maximization Problems with Matrix Structure, Usera#39;s Guide, Version Beta, Stanford University, Stanford, CA, 1996.
|Title||:||Advances in Linear Matrix Inequality Methods in Control|
|Author||:||Laurent El Ghaoui, Silviu-Iulian Niculescu|
|Publisher||:||SIAM - 2000|