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 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.
by 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.
by Andrew Whitworth - Wikibooks
An inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program. It considers both classical and modern control methods.
by Panos J. Antsaklis, Kevin M. Passino (eds) - Kluwer Academic Publishers
An introduction to the field of intelligent control with a broad treatment of topics by several authors (including hierarchical / distributed intelligent control, fuzzy control, expert control, neural networks, planning systems, and applications).