In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric s...
The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
Abstract. We describe a partial order reduction technique for a realtime component model. Components are described as timed automata with data ports, which can be composed in stati...
Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...