by P. J. Antsaklis
Number of pages: 22
Intelligent control describes the discipline where control methods are developed that attempt to emulate important characteristics of human intelligence. These characteristics include adaptation and learning, planning under large uncertainty and coping with large amounts of data.
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by Karl J. Astrom, Richard M. Murray - Princeton University Press
An introduction to the basic principles and tools for the design and analysis of feedback systems. It is intended for scientists and engineers who are interested in utilizing feedback in physical, biological, information and social systems.
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 Mario Alberto Jordan - InTech
This book covers the wide area of Discrete-Time Systems. Their contents are grouped conveniently in sections according to significant areas, namely Filtering, Fixed and Adaptive Control Systems, Stability Problems and Miscellaneous Applications.
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.