ITN SADCO "The formulation and online solution of optimal control problems. Robust nonlinear Model Predictive Control" (Task 3.3)

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start of the project: 2011 , end of the project: 2014

contract number: 264735-SADCO (grant agreement number)

funding institution: European Commission (EU)

project members

principal investigator

Prof. Dr. Lars Grüne (University of Bayreuth) and Prof. Dr. Matthias Gerdts (University of the Federal Armed Forces, Munich)

project members

Dr. Vryan Gil S. Palma

aims of the project

Model predictive control (MPC) is an approach to control feedback design, based on the solution, at each controller update step, of an optimal control problem. This approach has shown to be a viable approach to nonlinear optimal control. However, when MPC faces uncertainties and disturbances, several difficulties arise, and in practice, only suboptimal robust control strategies can be achieved. In the framework of this project we investigate aspects of robust nonlinear MPC, including stability and suboptimality estimates, and develop new MPC algorithms that take account of the limited time, between control update times, available for computation. Particularly, the use of efficient numerical methods based on sensitivity methods for counteracting the effect of disturbances shall be investigated and implemented.

The project member will participate in the international training network SADCO with the opportunity of extended research stays at universities. The first part of his secondment will take place in Katholieke Universiteit Leuven in Leuven, Belgium from September 24, 2012 until the end of December, 2012.

Further information is available:

publications

V. Palma, L. Grüne: Stability, performance and robustness of sensitivity-based multistep feedback NMPC
Extended Abstract
in: Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2012), 2012, CD-ROM, Paper No. 68, 4 pages

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Chair -

|  University of Bayreuth -