KEYNOTE SPEAKER

The Roles of Metaheuristics on Control Design Optimization and Identification Research

Prof. Sarawut Sujitjorn
Synchrotron Light Research Institute (Publ. Org.), Thailand

Abstract

Many challenging applications in science, engineering and technology can be formulated as optimization problems. Some of them are complex and difficult to solve by an exact method within a reasonable amount of time. These problems usually contain multiple local solutions that can easily trap inefficient algorithms. Approximate algorithms are alternatives; among those metaheuristics have been main tools for solving this large class of problems. Numerous metaheuristics are multi-discipline involving AI, soft-computing, computational intelligence, mathematical programming, operation research, and biology. In recent years, efficient metaheuristics have been developed for combinatorial, continuous, and multi-objective optimization problems; they have found many successful real-world applications. Foremost applications include multi-objective control design optimization and complex model identification.
This lecture will deliver an orientation on metaheuristics, the quests on performance and convergence of algorithms, multi-objective control design optimization problems, model identification problems, generic, and specific algorithms. Illustrative algorithms are multi-path adaptive tabu search and co-operative adaptive bacterial-foraging-tabu-search algorithms. The following case studies serve to demonstrate the practicality and effectiveness of the algorithms:

• identification of Stribeck friction model on a linear slide bed,
• computational stability analysis based-on Lyapunov's direct method, and
• extreme control design optimization of a road-way simulator.

The works to be presented have come from a team of researchers who fond of control and computing through our hard-working years. The followings are my students, colleagues and friends who deserve for acknowledgements: T. Kulworawanichpong, K-N. Areerak, K-L. Areerak, D. Puangdownreong, J. Kluabwang, N. Sarasiri, S. Phanikhom and K. Suthamno.

Biography of the Keynote Speaker

Sarawut Sujitjorn was awarded the BSc (Hons) degree in Electrical Engineering from the Royal Thai Air Force Academy, in 1984, and in 1987 the PhD degree in Electronic & Electrical Engineering from the University of Birmingham, UK, where he worked on automated coast-control of rapid transit trains. He is currently the Director of Synchrotron Light Research Institute (Publ. Org.), Thailand. Before joining the Institute in 2012, Prof Sujitjorn was with Suranaree University of Technology (SUT), Thailand, where he founded the School of Electrical Engineering, the Control & Automation Research Group, now the Power Electronics, Machines and Control Research Group, and co-founded the Scientific and Technological Equipment Centre. He is past Head of the EE School, Vice Rector for Academic Affairs and Director of the Research & Development Institute at SUT. He taught postgraduate and undergraduate courses in Electric Circuits and Automatic Control. Before coming to SUT, Korat, he was a lecturer at the Royal Thai Air Force Academy from 1988-1993.
Prof Sujitjorn had worked in academia for over 20 years and published over 150 research and technical papers, 17 patents, three books and one monograph. His research interests span the areas of control, electrical machine, power converter and computing, particularly the application of metaheuristics to modelling, identification and control. He also serves the Office of Higher Education Commission of Thailand as a sub-committee member for academic promotion, and the National Research Council of Thailand as a sub-committee member and reader.