Автор: Andrzej Ordys

Professor Johnson’s academic career has concentrated on control engineering, theory and applications. He has significant industrial control applications and research experience. He is the author and co-author of books and papers on power generation, wastewater control, power transmission, and control benchmarking. Previous European Union project experience includes the ESPRIT Projects MARIE and IMPROVE and a joint Italian, Spanish and UK THERMIE Project. He has had a number of student projects in the area of assistive technology and has successfully trained over 40 engineers to Ph D level in last 20 years. He is joint founding Series Editor to Springer-Verlag-London monograph series Advances in Industrial Control and also of the graduate text series Advanced Textbooks in Control and Signal Processing. He was an Automatica Associate Editor (1985-2002). His most recent textbook is Control Engineering-An Introductory Course, Palgrave Press, ISBN 0-333-77129-X co-authored with colleagues, Dr. Jacqueline Wilkie and Dr. Reza Katebi. Professor Johnson retired from the University of Strathclyde in December, 2002 and was appointed Professor Emeritus of the University in April, 2003. Professor Johnson is a Member of the IEEE, a Fellow of the I. M. A., a Chartered Mathematician, a member and Director of the charity Deafblind Scotland and a member of the British Retinitis Pigmentosa Society. Andrzej Ordys is the Manager of the Industrial Control Unit at the University of Strathclyde. He is a highly regarded control engineer having published and contributed to numerous papers and books. His work for Springer includes the previous Advances in Industrial Control monographs: Modelling and Simulation of Power Generation Plants and Optimization of Industrial Processes at Supervisory Level. He is a member of the Institution of Electrical Engineers, a Chartered Engineer and a member of the Institute of Electricaland Electronic Engineers (USA). He has written papers on benchmarking, modelling and simulation of power systems and on predictive control algorithms with application to power systems.