Abstract: We explore an adaptive discretization scheme for dynamic optimization problems formulated on moving horizons. The proposed method is embedded into ...
We explore an adaptive discretization scheme for dynamic optimization problems formulated on moving horizons. The proposed method is embedded into a ...
%T An adaptive multiscale method for real time moving horizon optimization %C Piscataway, NJ %I IEEE Service Center %M RWTH-CONV-184125 %P 4234-4238 %D 2000 ...
An adaptive multiscale method for real time moving horizon optimization. Dahmen, Wolfgang; Binder, Thomas; Blank, L.; Marquardt, W.
In this work, we present a multiscale approach based on wavelets where a hierarchy of successively, adaptively refined problems are constructed. They are solved ...
We have introduced a multiscale concept for moving horizon optimization based on wavelets in order to meet real-time requirements. Of course, the development ...
This work presents a multiscale approach based on wavelets where a hierarchy of successively, adaptively refined problems are constructed in the framework ...
Process monitoring via state estimation is accomplished by the solution of an appropriately posed optimization problem on a receding horizon.
In this work, we propose two solutions to decrease the computational cost of MHE, limiting its applicability in real-time applications.
Missing: multiscale optimization.
In this work, we present an algorithm for computing an enclosure for multi-objective mixed-integer nonconvex optimization problems.