Publisher's Synopsis
Automatic Control: A Scientific American Book is a comprehensive guide to the principles and applications of automatic control systems. Written by the editors of Scientific American, this book covers the fundamental concepts of control theory, including feedback control, stability analysis, and optimal control. It also explores the practical aspects of control system design, such as modeling and simulation, control algorithms, and hardware implementation.The book begins with an introduction to the basic concepts of control theory, including open-loop and closed-loop control, feedback control, and system stability. It then delves into the mathematical foundations of control theory, including Laplace transforms, transfer functions, and state-space models. The book also covers advanced topics such as robust control, adaptive control, and nonlinear control.In addition to theory, the book provides practical guidance on control system design and implementation. It includes detailed discussions on modeling and simulation, control algorithms, and hardware implementation. The book also covers the latest developments in control technology, including digital control, networked control systems, and intelligent control.Overall, Automatic Control: A Scientific American Book is an essential resource for engineers, scientists, and students who want to understand the principles and applications of automatic control systems. It provides a clear and concise introduction to control theory, along with practical guidance on system design and implementation.Contributing Authors Include Ernest Nagel, Arnold Tustin, Gordon S. Brown, And Many Others.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.
