Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. PFMPC: Particle filtermodel predictive control
 Systems and Control Letters 60 (2011), No.8, pp.632643 ISSN: 01676911 ISSN: 18727956 

 English 
 Journal Article 
 Fraunhofer ITWM () 
Abstract
In this article, a new model predictive control approach to nonlinear stochastic systems will be presented. The new approach is based on particle filters, which are usually used for estimating states or parameters. Here, two particle filters will be combined, the first one giving an estimate for the actual state based on the actual output of the system; the second one gives an estimate of a control input for the system. This is basically done by adopting the basic model predictive control strategies for the second particle filter. Later in this paper, this new approach is applied to a CSTR (continuous stirredtank reactor) example and to the inverted pendulum. These two examples show that our approach is also realtimecapable.