Control of Nonlinear Systems via PI, PD and PID : Stability and Performance

Yong-Duan (Chongqing University Song

ISBN 10: 1138317640 / ISBN 13: 9781138317642

Published by Taylor & Francis Ltd Okt 2018, 2018

About this Item

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Bibliographic Details

• Title: Control of Nonlinear Systems via PI, PD and PID : Stability and Performance
• Publisher: Taylor & Francis Ltd Okt 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 1138317640
• ISBN 13: 9781138317642
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 163H x 10D millimeters 241 millimeters width by 163 millimeters height by 10 millimeters depth
• Weight: 384 grams

About this title

Synopsis

The purpose of this book is to give an exposition of recently adaptive PI/PD/PID control design for nonlinear systems. Since PI/PD/PID control is simple in structure and inexpensive in implementation, it has been undoubtedly the most widely employed controller in industry. In fact, PI/PD/PID controllers are sufficient for many control problems, particularly when process dynamics are benign and the performance requirements are modest. The book focuses on how to design general PI/PD/PID controller with self-tuning gains for different systems, which includes SISO nonlinear system, SISO nonaffine system and MIMO nonlinear system.

About the Author

Yong-Duan Song received his Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, USA, in 1992. He held a tenured Full Professor position with North Carolina A&T State University, Greensboro, from 1993 to 2008 and a Langley Distinguished Professor position with the National Institute of Aerospace, Hampton, VA, from 2005 to 2008.

He is now the Dean of School of Automation, Chongqing University, and the Founding Director of the Institute of Smart Systems and Renewable Energy, Chongqing University. He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA), Founding Director of Cooperative Systems at NIA. He has served as an Associate Editor/Guest Editor for several prestigious scientific journals. Prof. Song has received several competitive research awards from the National Science Foundation, the National Aeronautics and Space Administration, the U.S. Air Force Office, the U.S. Army Research Office, and the U.S. Naval Research Office. His research interests include intelligent systems, guidance navigation and control, bio-inspired adaptive and cooperative systems, rail traffic control and safety, and smart grid.