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A new algorithm for RNO-INO type tensor product model representation
58
Citations
5
References
2005
Year
Unknown Venue
Mathematical ProgrammingNonlinear System IdentificationParameter IdentificationApplied Convex CombinationEngineeringRepresentation TheoryMachine LearningParametric ProgrammingRno-ino RepresentationConvex CombinationSystems EngineeringMultilinear Subspace LearningComputer ScienceNew Algorithm
A recently developed technique of modelling parameter varying dynamical systems is the Tensor Product model representation, where a system is decomposed to convex combination of several parameterinvariant models. Effectiveness and tractability of the representation depends strongly on the type of the applied convex combination. This paper presents an algorithm, which generates a special type of convex combination, the RNO-INO representation. An example is also introduced.
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