Abstract
In this paper, multimodel and neural emulators are proposed for uncoupled multivariable nonlinear plants with unknown dynamics. The contributions of this paper are to extend the emulators to multivariable non square systems and to propose a systematic method to compute the multimodel synthesis parameters. The effectiveness of the proposed emulators is shown through two simulation examples. The obtained results are very satisfactory, they illustrate the performance of both emulators and show the advantages of the multimodel emulator relatively to the neural one.
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Nesrine Bahri received the engineering diploma in electric-automatic engineering, in 2009, and the master degree in automatic control and intelligent techniques, in 2010, from National School of Engineers of Gabes-Tunisia. She is currently a Ph. D. degree candidate at Research Unit of Numerical Control of Industrial Processes at ENIG (CONPRI) and at Electrical and Automatic Engineering Research Group at Le Havre University (GREAH).
Her research interests include nonlinear process identification, multimodel and multicontrol approaches, neural and multimodel emulation and adaptive control.
Asma Atig received the engineering diploma in electrical engineering, in 2007, the master degree in automatic control, in 2008, from the National School of Engineering of Sfax-Tunisia (ENIS), the Ph. D. degree in electrical engineering from the National School of Engineering of Gabes-Tunisia (ENIG) and from the University of Le Havre in automatic, signal processing and computing, in 2012. Actually she is a teaching assistant in Electrical Engineering Department at the High Institute of Industrial Systems of Gabes-Tunisia. She is a member of Research Unit of Numerical Control of Industrial Processes at ENIG (CONPRI).
Her research interests include nonlinear process identification, neural emulation and adaptive control.
Ridha Ben Abdennour received the Speciality Ph.D. degree in automatic control from Higher School of Technique Education in 1987, and the Ph.D. degree in electrical engineering from the National School of Engineering of Tunis-Tunisia, in 1996. He is a professor in automatic control at the National School of Engineering of Gabes-Tunisia. He was chairman of the Electrical Engineering Department and the director of the High Institute of Technological Studies of Gabes. He is the head of the Research Unit of Numerical Control of Industrial Processes and the founder and the honorary President of the Tunisian Association of Automatic Control and Numerisation. He is the co-author of a book on Identification and Numerical Control of Industrial Processes and he is the author of more than 300 publications. He participated in the organization of many conferences and he was a member of some scientific committees of a number of congresses.
His research interests include identification, multimodel & multicontrol approaches, numerical control and supervision of industrial processes.
Fabrice Druaux received the B. Sc. degree in physics and mathematics in 1976, the M. Sc. degree in physic in 1981 and the Ph. D. degree in physic from University of Rouen, France in 1986. Since 1988, he has been an assistant professor at the Faculty of Sciences and Technology of Le Havre, France. Since 1999, he has been with the Electric and Automatic Engineering Research Group.
His current research interests include modelling, control and fault detection using dynamical neural network. His principal applications under focus are electro-technical processes such as motors and wind generators.
Dimitri Lefebvre is graduated from the Ecole Centrale of Lille, France in 1992. He received the Ph.D. degree in automatic control and computer science from University of Sciences and Technologies, Lille in 1994, and the HAB degree from University of Franche Comt Belfort, France in 2000. Since 2001, he has been a professor at Institute of Technology and Faculty of Sciences, University Le Havre, France. He is with the Electric and Automatic Engineering Research Group (GREAH).
His research interests include Petri nets and electronic data systems (DESs), learning processes, adaptive control, fault detection and diagnosis and applications to electrical engineering.
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Bahri, N., Atig, A., Ben Abdennour, R. et al. A systematic design of emulators for multivariable non square and nonlinear systems. Int. J. Autom. Comput. 14, 742–754 (2017). https://doi.org/10.1007/s11633-016-0963-9
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DOI: https://doi.org/10.1007/s11633-016-0963-9