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.
Home page url
Download or read it online for free here:
by R. Sepulchre, M. Jankovic, P. Kokotovic - Springer
Several streams of nonlinear control theory are directed towards a constructive solution of the feedback stabilization problem. Analytic, geometric and asymptotic concepts are assembled as design tools for a wide variety of nonlinear phenomena.
by K. M. Passino, S. Yurkovich - Addison Wesley
Introduction to fuzzy control with a broad treatment of topics including direct fuzzy control, nonlinear analysis, identification/ estimation, adaptive and supervisory control, and applications, with many examples, exercises and design problems.
by P. J. Antsaklis
Intelligent control describes the discipline where control methods emulate important characteristics of human intelligence. These characteristics include adaptation and learning, planning under large uncertainty and coping with large amounts of data.
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.