Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Output feedback and tracking in nonlinear model predictive control

Back
Abstract:
The development of efficient output feedback Model Predictive Control algorithms for nonlinear systems with stability properties and tracking capabilities is an active area of research and represents a promising field for innovative industrial applications. In this talk, this problem is addressed by resorting to the classical combination of a state feedback control law and a state observer, e.g. an Extended Kalman Filter. Different control schemes are analyzed under the assumption that the reference signal to be tracked is piece-wise constant. It is shown that the adopted control structure deeply influences the stability and robustness results achievable and leads to implementations where state and control constraints can be included at different levels of complexity. Moreover, the control of non square systems can only be done provided that the proper control structure is selected

Type of Seminar:
Public Seminar
Speaker:
Prof. Riccardo Scattolini
Dept of System Theory and Computer Science, University of Pavia, Italy
Date/Time:
Mar 12, 2001   17:15
Location:

ETH-Zentrum, ETZ E9, Gloriastrasse 35, 8006 Zuerich
Contact Person:

Dr. G. Ferrari-Trecate
No downloadable files available.
Biographical Sketch:
Riccardo Scattolini was born in Milan, Italy, in 1956. He received the Laurea degree in Electrical Engineering from the Politecnico di Milano. Since 1982 the has held various research positions at the Politecnico di Milano and at the University of Pavia, where he presently is Full Professor of Process Control. He also spent one year working in industry on the simulation and control of chemical plants. During the academic year 1984/85 he was with the Department of Engineering Science, Oxford University. His current research interests include predictive and robust control theory and application; fault detection of industrail systems. He has also developed a number of application studies in cooperation with many companies, in particular in the automotive and in the electric power generation fields. In 1991 he was awarded the Heaviside Premium of the Institution of Electrical Engineers. He has been member of the IFAC Technical Committee on Automotive Control. _____________________