Feedback control systems

Phillips, Charles L

ISBN 10: 0133139174 / ISBN 13: 9780133139174

Published by Prentice Hall, 1988

About this Item

Cover shows light edgewear, shelfwear. Pages are crisp and clean, binding tight. 100% Satisfaction Guaranteed. Orders received before 3PM PT typically ship same day. All profits support the non-profit community.

Seller Inventory # mon0000118613

Bibliographic Details

• Title: Feedback control systems
• Publisher: Prentice Hall
• Publication Date: 1988
• Language: English
• ISBN 10: 0133139174
• ISBN 13: 9780133139174
• Binding: Hardcover
• Condition: New

About this title

Synopsis

"This book presents mathematically oriented classical control theory in a concise manner such that undergraduate students are not overwhelmed by the complexity of the materials. In each chapter, it is organized such that the more advanced material is placed toward the end of the chapter." — Jongeun Choi, Michigan State University"This book is self-contained and ideal for teaching the classical control theory for junior- and senior-level undergraduate students." — Jongeun Choi, Michigan State University"For those who are considering a career as a control systems engineer, I think this text is a great introduction to classical control system design." — John Schmitt, Oregon State University"[The greatest strengths of this text are] The mathematical foundation provided for all of the concepts introduced. Almost all concepts presented in the text are supported by a mathematical derivation." — John Schmitt, Oregon State University"I feel the text is very comprehensive and the updates with MATLAB are very good." — Satish S. Nair, University of Missouri

From the Publisher

Revised and edited for optimum clarity, this reputable text offers a thorough analysis of the principles of classical and modern feedback control. Organizing topic coverage into three sections--linear analog control systems, linear digital control systems, and nonlinear analog control systems--it strives to help students understand the difference between mathematical models and the physical systems that the models represent.