Multimodeling control via system balancing
type: Item
instance of: scholarly article
title: Multimodeling control via system balancing
zbMATH Open document ID: 1205.93008
DOI: 10.1155/2010/841830
author: Nada Ratković Kovačević
author: Dobrila škatarić
published in: Mathematical Problems in Engineering
publication date: 2010-09-30T00:00:00Z
review text: Summary: A new approach in multimodeling strategy is proposed. Multimodel strategies in which control agents use different simplified models of the same system are being developed using balancing transformations and the corresponding order reduction concepts. Traditionally, the multimodeling concept is studied using the ideas of multitime scales (singular perturbations) and weak subsystem coupling. For all reduced-order models obtained, a Linear Quadratic Gaussian (LQG) control problem is solved. Different order reduction techniques are compared based on the values of the optimized criteria for the closed-loop case where the full-order balanced model utilizes regulators calculated to be the optimal for various reduced-order models. The results obtained are demonstrated on a real-world example: a multiarea power system consisting of two identical areas, that is, two identical power plants.
Mathematics Subject Classification ID: 93A14
Mathematics Subject Classification ID: 93B11
Mathematics Subject Classification ID: 93C70
zbMATH DE Number: 5793800
zbMATH Keywords: multimodeling strategy
zbMATH Keywords: control agents
zbMATH Keywords: order reduction
zbMATH Keywords: multitime scales
zbMATH Keywords: singular perturbations
zbMATH Keywords: linear quadratic Gaussian (LQG) control problem
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2010/841830
OpenAlex ID: W2070241625
Wikidata QID: Q58653378
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description: scientific article; zbMATH DE number 5793800