**Feedback Systems: An Introduction for Scientists and Engineers**

by Karl J. Astrom, Richard M. Murray

**Publisher**: Princeton University Press 2008**ISBN/ASIN**: 0691135762**ISBN-13**: 9780691135762**Number of pages**: 408

**Description**:

This book provides an introduction to the basic principles and tools for the design and analysis of feedback systems. It is intended to serve a diverse audience of scientists and engineers who are interested in understanding and utilizing feedback in physical, biological, information and social systems. A major goal of this book is to present a concise and insightful view of the current knowledge in feedback and control systems.

Download or read it online for free here:

**Download link**

(11MB, PDF)

## Similar books

**Lectures on Stochastic Control and Nonlinear Filtering**

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.

(

**8241**views)

**Control in an Information Rich World**

by

**Richard M. Murray**-

**Society for Industrial Mathematics**

The prospects for control in the current and future technological environment. The text describes the role the field will play in commercial and scientific applications over the next decade, and recommends actions required for new breakthroughs.

(

**14577**views)

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

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.

(

**10582**views)

**High Performance Control**

by

**T.T. Tay, I.M.Y. Mareels, J.B. Moore**-

**Birkhauser**

Using the tools of optimal control, robust control and adaptive control, the authors develop the theory of high performance control. Topics include performance enhancement, stabilizing controllers, offline controller design, and dynamical systems.

(

**12041**views)