Linear Matrix Inequalities in System and Control Theory
by S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan
1997
ISBN/ASIN: 0898714850
ISBN-13: 9780898714852
Number of pages: 205
Description:
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.
Download or read it online for free here:
Download link
(1.1MB, PDF)
Similar books
Frontiers in Advanced Control Systemsby Ginalber Luiz de Oliveira Serra (ed.) - InTech
This book brings the state-of-art research results on advanced control from both the theoretical and practical perspectives. The fundamental and advanced research results and technical evolution of control theory are of particular interest.
(10927 views)
Control Theory: From Classical to Quantum Optimal, Stochastic, and Robust Controlby M.R. James - Australian National University
These notes are an overview of some aspects of optimal and robust control theory considered relevant to quantum control. The notes cover classical deterministic optimal control, classical stochastic and robust control, and quantum feedback control.
(13159 views)
Advanced Model Predictive Controlby Tao Zheng - InTech
Model Predictive Control refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request to complicated process plants, MPC has been accepted in many practical fields.
(13352 views)
Stochastic Modeling and Controlby Ivan Ganchev Ivanov (ed.) - InTech
The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications in engineering, statistics and computer science. Readers should be familiar with probability theory and stochastic calculus.
(10156 views)