A distributed model predictive control algorithm: ideas, extensions, and applications
Event details
| Date | 08.05.2015 |
| Hour | 10:15 |
| Speaker | Riccardo Scattolini |
| Location | |
| Category | Conferences - Seminars |
The development of Distributed Model Predictive Control (DMPC) algorithms has recently received a major attention. In the first part of this talk, the main approaches proposed so far are briefly summarized. Then, the main ideas underlying the development of a DMPC method for the regulation of linear systems and based on a robustness approach are presented. The algorithm is also extended to cope with the tracking problem and a number of examples are presented to show its properties and applicability.
Bio: Riccardo Scattolini was born in Milano, Italy, in 1956. He received the Laurea degree in electronic engineering from the Politecnico di Milano, Italy, in 1979. He is Professor of automatic control with the Politecnico di Milano. From 1984 to 1985, he was a Visiting Researcher at the Department of Engineering Science, Oxford University, U.K. He also spent one year working in industry on the simulation and control of chemical plants. His current research interests include modeling, identification, simulation and control of industrial plants and distribution networks, with emphasis on distributed model predictive control of large-scale systems. Prof. Scattolini received the Heaviside Premium from the Institution of Electrical Engineers, U.K., in 1991. He is currently Associate Editor of Automatica and of the International Journal of Adaptive Control and Signal Processing.
Bio: Riccardo Scattolini was born in Milano, Italy, in 1956. He received the Laurea degree in electronic engineering from the Politecnico di Milano, Italy, in 1979. He is Professor of automatic control with the Politecnico di Milano. From 1984 to 1985, he was a Visiting Researcher at the Department of Engineering Science, Oxford University, U.K. He also spent one year working in industry on the simulation and control of chemical plants. His current research interests include modeling, identification, simulation and control of industrial plants and distribution networks, with emphasis on distributed model predictive control of large-scale systems. Prof. Scattolini received the Heaviside Premium from the Institution of Electrical Engineers, U.K., in 1991. He is currently Associate Editor of Automatica and of the International Journal of Adaptive Control and Signal Processing.
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