Abstract
This paper attempts to set a unified scene for various linear time-invariant (LTI) control system design schemes, by transforming the existing concept of “computer-aided control system design” (CACSD) to novel “computer-automated control system design” (CAutoCSD). The first step towards this goal is to accommodate, under practical constraints, various design objectives that are desirable in both time and frequency domains. Such performance-prioritised unification is aimed at relieving practising engineers from having to select a particular control scheme and from sacrificing certain performance goals resulting from pre-commitment to such schemes. With recent progress in evolutionary computing based extra-numeric, multi-criterion search and optimisation techniques, such unification of LTI control schemes becomes feasible, analytical and practical, and the resultant designs can be creative. The techniques developed are applied to, and illustrated by, three design problems. The unified approach automatically provides an integrator for zero-steady state error in velocity control of a DC motor, and meets multiple objectives in the design of an LTI controller for a non-minimum phase plant and offers a high-performance LTI controller network for a non-linear chemical process.
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Yun Li received a BSc from University of Sichuan in 1984, an MSc from UESTC in 1987 and a PhD from University of Strathclyde, UK, in 1990. During 1989–1990, he worked at National Engineering Laboratory, East Kilbride, and for Industrial Systems and Control Ltd, Glasgow. He became a Lecturer at University of Glasgow in 1991, establishing his Intelligent Systems research group, and has since led the group actively to solve systems and control problems using evolutionary computing and modern computational intelligence techniques. Later he established and chaired the IEEE CACSD Evolutionary Computation Working Group and the European Network of Excellent in Evolutionary Computing Workgroup on Systems, Control and Drives Industry.
He is currently a Senior Lecturer at University of Glasgow, UK, and a Visiting Professor to University of Electronic Science and Technology of China (UESTC). He had served on the IEE Scotland South West Committee for six years and on 24 international conference committees. He also served as a Visiting Professor to Kumamoto University, Japan, during July–September 2002. He has over 125 scientific publications. Dr Li is a member of the IEE and the IEEE and is a Chartered Engineer.
Kiam Heong Ang received his B.Eng. degree with First Class Honours in Electronics and Electrical Engineering from the University of Glasgow, U.K., in 1996. From 1997 to 2000, he was a software engineer with the Advanced Process Control group in Yokogawa Engineering Asia Pte. Ltd., Singapore. He is currently working toward the Ph.D. degree at the University of Glasgow, U.K.
His current research interests include evolutionary multi-objective optimisation, computational intelligence and engineering design optimisation.
Gregory Chong received his B.Eng. degree with First-Class Honors in Electronics and Electrical Engineering from University of Glasgow, UK, in 1999. He is currently working towards the Ph.D degree at the same university. His current research interests include evolutionary multi-objective and intelligent control for nonlinear systems.
Kay Tan received his B.Eng. degree with First-Class Honors in Electronics and Electrical Engineering and his Ph.D. degree from the University of Glasgow, UK, in 1994 and 1997, respectively. He is currently an Assistant Professor at the Department of Electrical and Computer Engineering, National University of Singapore.
He has authored and coauthored more than 100 journal and conference publications, and has served as a program or organizing committee member for many international conferences. He currently holds an Associate Editorship for IEEE Transactions on Evolutionary Computation. His current research interests include computational intelligence, evolutionary computing, intelligent control, and engineering design optimization.
Hiroshi Kashiwagi received B.E, M.E. and Ph.D. degrees in measurement and control engineering from the University of Tokyo, Japan, in 1962, 1964 and 1967 respectively.
In 1967 he became an Associate Professor and in 1976 a Professor at Kumamoto University. From 1973 to 1974, he served as a visiting Associate Professor at Purdue University, Indiana, USA. From 1990 to 1994, he was the Director at Computer Center of Kumamoto University. He has also served as a member of Board of Trustees of Society of Instrument and Control Engineers (SICE), Japan, Chairman of Kyushu Branch of SICE and General Chair of many international conferences held in Japan, Korea, China and India.
In 1994, Dr. Kashiwagi was awarded SICE Fellow for his contributions to the field of measurement and control engineering through his various academic activities. He also received the Gold Medal Prize at ICAUTO’95 held in India. In 1997, he received the “Best Book Award” from SICE for his new book entitled “M-sequence and its application” written in Japanese and published in 1996 by Shoukoudou Publishing Co. in Japan. In 1999, he received the “Best Paper Award” from SICE for his paper “M-transform and its application to system identification”. His research interests include signal processing and applications, especially pseudorandom sequence and its applications to measurement and control engineering.
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Li, Y., Ang, K.H., Chong, G.C.Y. et al. CAutoCSD-evolutionary search and optimisation enabled computer automated control system design. Int J Automat Comput 1, 76–88 (2004). https://doi.org/10.1007/s11633-004-0076-8
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DOI: https://doi.org/10.1007/s11633-004-0076-8