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
Distributed Control of Robotic Networksby Francesco Bullo, Jorge Cortes, Sonia Martinez - Princeton University Press
This introductory book offers a distinctive blend of computer science and control theory. The book presents a broad set of tools for understanding coordination algorithms, determining their correctness, and assessing their complexity.
(9449 views)
Discrete-Event Control of Stochastic Networks: Multimodularity and Regularityby Eitan Altman, Bruno Gaujal, Arie Hordijk - Springer
Opening new directions in research in stochastic control, this book focuses on a wide class of control and of optimization problems over sequences of integer numbers. The theory is applied to the control of stochastic discrete-event dynamic systems.
(6878 views)
Lectures on Stochastic Control and Nonlinear Filteringby M. H. A. Davis - Tata Institute of Fundamental Research
There are actually two separate series of lectures, on controlled stochastic jump processes and nonlinear filtering respectively. They are united however, by the common philosophy of treating Markov processes by methods of stochastic calculus.
(6982 views)
Applications of Nonlinear Controlby Meral Altinay - InTech
A trend of investigation of Nonlinear Control Systems has been present over the last few decades. This book includes topics such as Feedback Linearization, Lyapunov Based Control, Adaptive Control, Optimal Control and Robust Control.
(9108 views)