Distributed Control of Robotic Networks
by Francesco Bullo, Jorge Cortes, Sonia Martinez
Publisher: Princeton University Press 2009
Number of pages: 323
This self-contained introduction to the distributed control of robotic networks 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; and it analyzes various cooperative strategies for tasks such as consensus, rendezvous, connectivity maintenance, deployment, and boundary estimation.
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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 Shankar Sastry, Marc Bodson - Prentice Hall
The book gives the major results, techniques of analysis and new directions in adaptive systems. It presents deterministic theory of identification and adaptive control. The focus is on linear, continuous time, single-input single output systems.
by Wilson J. Rugh - The Johns Hopkins University Press
Contents: Input/Output Representations in the Time and Transform Domain; Obtaining Input/Output Representations from Differential-Equation Descriptions; Realization Theory; Response Characteristics of Stationary Systems; Discrete-Time Systems; etc.
by John Doyle, Bruce Francis, Allen Tannenbaum
The book presents a theory of feedback control systems. It captures the essential issues, can be applied to a wide range of practical problems, and is as simple as possible. Addressed to students who have had a course in signals and systems.