High Performance Control
by T.T. Tay, I.M.Y. Mareels, J.B. Moore
Publisher: Birkhauser 1997
Number of pages: 362
Using the tools of optimal control, robust control and adaptive control, the authors develop the theory and practice of high performance control in a real world environment. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems.
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by Eduardo D. Sontag - Springer
This textbook introduces the basic concepts of mathematical control and system theory in a self-contained and elementary fashion. Written for mathematically mature undergraduate or beginning graduate students, as well as engineering students.
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 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.
by Stephen Boyd, Craig Barratt - Prentice-Hall
The book is motivated by the development of high quality integrated sensors and actuators, powerful control processors, and hardware and software that can be used to design control systems. Written for students and industrial control engineers.