Control Systems
by Andrew Whitworth
Publisher: Wikibooks 2006
Number of pages: 208
Description:
This book will discuss the topic of Control Systems, which is an interdisciplinary engineering topic. Methods considered here will consist of both "Classical" control methods, and "Modern" control methods. Also, discretely sampled systems (digital/computer systems) will be considered in parallel with the more common analog methods. This book will not focus on any single engineering discipline (electrical, mechanical, chemical, etc.), although readers should have a solid foundation in the fundamentals of at least one discipline.
Download or read it online for free here:
Download link
(2MB, PDF)
Similar books
Feedback Control Theoryby 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.
(17412 views)
Control Theory: From Classical to Quantum Optimal, Stochastic, and Robust Controlby 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.
(12974 views)
Frontiers in Advanced Control Systemsby Ginalber Luiz de Oliveira Serra (ed.) - InTech
This book brings the state-of-art research results on advanced control from both the theoretical and practical perspectives. The fundamental and advanced research results and technical evolution of control theory are of particular interest.
(10744 views)
Lectures on Stochastic Control and Nonlinear Filteringby 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.
(9902 views)