Home Coefficient Diagram Method for Control System Design by Shunji Manabe; Young Chol Kim (ISBN: 9789811605482)

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Coefficient Diagram Method for Control System Design Paperback - 2022

Name: Coefficient Diagram Method for Control System Design
Price: 86.61 GBP
Availability: InStock
Author: Shunji Manabe
ISBN: 9789811605482

by Shunji Manabe; Young Chol Kim

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From the publisher

This book describes a new control design technique called Coefficient Diagram Method (CDM), whereby practical control engineers without deep control theories and mathematics background can design a good controller for their specific plants. In addition, control experts can solve some complicated design problems.

Since the CDM was first introduced in 1998, it reveals from the literature that CDM has provided successful controller designs for a variety of practical control problems. In the last two decades, a great deal of research has been done on CDM, while a growing number of researchers want to learn and utilize the method. However, there has been no textbook to learn it systematically so far. This book is motivated by such a need. It is also suitable as a textbook or reference book for master programs in control engineering.

From the rear cover

Details

Title Coefficient Diagram Method for Control System Design
Author Shunji Manabe; Young Chol Kim
Binding Paperback
Pages 207
Volumes 1
Language ENG
Publisher Springer
Publication date 2022-04-12
Illustrated Yes
Features Illustrated
ISBN 9789811605482 / 9811605483
Weight 0.69 lbs (0.31 kg)
Dimensions 9.21 x 6.14 x 0.46 in (23.39 x 15.60 x 1.17 cm)
Category Technology & Industrial Arts

About the author

Dr. Shunji Manabe's biography: He received the B.S. degree from the University of Tokyo, M.S. degree from Ohio State University, and Ph.D. degree from the University of Tokyo in all Electrical Engineering. He worked with Central Research Lab., and the plant for the space-development project, Mitsubishi Electric Corporation from 1952 to 1990, where he was a research/chief engineer and engaged in various control system designs including electric motor speed control, tracking RADAR control, flight simulator, wind tunnel drive, spacecraft control, and robotics and so on. Then, he worked with the Department of Control Engineering, Tokai University, from 1990 to 2000 as a professor. In the early 1990s, he invented a unique control design theory, so called the Coefficient Diagram Method (CDM), which is very useful for both practical control system engineers working on classical approach and modern control researchers. He has published important results related to CDM over the past two decades and received a lot of attention, citing hundreds of times in the academic journals and conference proceedings.

Dr. Young Chol Kim's biography: He received the B.S. degree from the Korea University in 1981, and M.S. and Ph.D. degrees in Electrical Engineering from Seoul National University, Korea, in 1983 and 1987, respectively. He has been with the Department of Electronic Engineering, Chungbuk National University, Korea, since 1988, and is currently a professor. He was a visiting scholar at Texas A & M University in 1991 and Vanderbilt University/Tennessee State University in 2001. He served as the president of the Information and Control Society of the Korean Institute of Electrical Engineers (KIEE) from 2009 to 2010. Dr. Kim has won numerous academic awards, including Myungsam Ko Award in 2004 from ICROS, Heungseok Yang Award in 2012 and IJCAS Award in 2019 from KIEE, and multiple awards for outstanding papers. His team won second prize with 50 million won at the 2012 Korea Autonomous Vehicle Contest hosted by Hyundai Motor Group. He has been involved in Dr. Manabe's CDM research since 1997 and has been collaborating for over 20 years. Dr. Kim has presented the important analytical results of the CDM theory under the modified name, Characteristic Ratio Assignment (CRA), instead of CDM. He published more than 130 research articles in the area of control theory, system identifications, and control system designs for autonomous vehicles.

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