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パレートフロントに基づく非線形回路のパラメータ次元圧縮へのアプローチ ; An approach toward pareto front based dimensionality reduction of parameters in nonlinear circuits

パレートフロントに基づく非線形回路のパラメータ次元圧縮へのアプローチ ; An approach toward pareto front based dimensionality reduction of parameters in nonlinear circuits

Abstract

In this thesis, we consider dimensionality reduction of parameters in a piecewise linear model of boost converter with PV input. The circuit is subject to a bi-objective optimization problem where the first and second objectives evaluate efficiency of input power and stability of periodic orbits, respectively. A trade off exists between the two objectives and is represented by a Pareto front. An approximation of the Pareto front is a criterion for the dimensionality reduction. Performing precise numerical experiment, a simple dimensionality reduction from two-dimensional parameter space into a one-dimensional parameter subspace is achieved.

Country
Japan
Related Organizations
Keywords

multiobjective optimization, renewable energy, dimensionality reduction

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Energy Research