Linear Controller Design: Limits of Performance
by Stephen Boyd, Craig Barratt
Publisher: Prentice-Hall 1991
Number of pages: 426
This book is motivated by the development of high quality integrated sensors and actuators, powerful control processors that can implement complex control algorithms, and powerful computer hardware and software that can be used to design and analyze control systems. The intended audience includes the sophisticated industrial control engineer, and researchers and research students in control engineering.
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by Derek Atherton - BookBoon
The book is concerned with the effects of nonlinearity in feedback control systems and techniques which can be used to design feedback loops containing nonlinear elements. The material is of an introductory nature but hopefully gives an overview.
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 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.
by Hugh Jack
Dynamic System Modeling and Control introduces the basic concepts of system modeling with differential equations. Supplemental materials at the end of this book include a writing guide, summary of math topics, and a table of useful engineering units.