**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

**Control Engineering: An introduction with the use of Matlab**

by

**Derek Atherton**-

**BookBoon**

The book covers the basic aspects of linear single loop feedback control theory. Explanations of the mathematical concepts used in classical control such as root loci, frequency response and stability methods are explained by making use of MATLAB.

(

**10787**views)

**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.

(

**6118**views)

**Adaptive Control**

by

**Kwanho You**-

**InTech**

This book discusses the issues of adaptive control application to model generation, adaptive estimation, output regulation and feedback, electrical drives, optical communication, neural estimator, simulation and implementation.

(

**15788**views)

**Control Theory with Applications to Naval Hydrodynamics**

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.

(

**7076**views)