Linear Matrix Inequalities in System and Control Theory
by S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan
Number of pages: 205
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.
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by R. Timman
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints.
by Shankar Sastry, Marc Bodson - Prentice Hall
The book gives the major results, techniques of analysis and new directions in adaptive systems. It presents deterministic theory of identification and adaptive control. The focus is on linear, continuous time, single-input single output systems.
by 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.
by Bruce A. Francis - Springer
An elementary treatment of linear control theory with an H-infinity optimality criterion. The systems are all linear, timeinvariant, and finite-dimensional and they operate in continuous time. The book has been used in a one-semester graduate course.