Logo

Control Theory: From Classical to Quantum Optimal, Stochastic, and Robust Control

Small book cover: Control Theory: From Classical to Quantum Optimal, Stochastic, and Robust Control

Control Theory: From Classical to Quantum Optimal, Stochastic, and Robust Control
by

Publisher: Australian National University
Number of pages: 89

Description:
The purpose of these notes is to provide an overview of some aspects of optimal and robust control theory considered relevant to quantum control. The notes begin with classical deterministic optimal control, move through classical stochastic and robust control, and conclude with quantum feedback control.

Download or read it online for free here:
Download link
(550KB, PDF)

Similar books

Book cover: Stochastic Modeling and ControlStochastic Modeling and Control
by - 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.
(5224 views)
Book cover: Feedback Control TheoryFeedback Control Theory
by
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.
(11089 views)
Book cover: Dynamic System Modeling and ControlDynamic System Modeling and Control
by
Dynamic System Modeling and Control introduces the basic concepts of system modeling with differential equations. Supplemental materials at the end of this book include a writing guide, summary of math topics, and a table of useful engineering units.
(18359 views)
Book cover: Feedback Systems: An Introduction for Scientists and EngineersFeedback Systems: An Introduction for Scientists and Engineers
by - 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.
(17192 views)