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Uncertain Systems Order Reduction by Aggregation Method

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 1 (2017)

DOI
10.11591/ijece.v7i1.pp244-252
ISSN
2088-8708, 2088-8708
Published
2017-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In the field of control engineering, approximating the higher-order system with its reduced model copes with more intricate problems. These complex problems are addressed due to the usage of computing technologies and advanced algorithms. Reduction techniques enable the system from higher-order to lower-order form retaining the properties of former even after reduction. This document renders a method for demotion of uncertain systems based on State Space Analysis. Numerical examples are illustrated to show the accuracy of the proposed method.

Collaboration network of the authors

4 authors · 6 co-authorship links

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  • Jawaharlal Nehru Technological University, Kakinada
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref 
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Uncertain Systems Order Reduction by Aggregation Method</dc:title><dc:creator>Gayatri, Bogapurapu</dc:creator><dc:creator>Kumar, Kalyana Kiran</dc:creator><dc:creator>Lakshmi, Akella Venkata Santosh</dc:creator><dc:creator>Karteek, Vyakaranam Sai</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;In the field of control engineering, approximating the higher-order system with its reduced model copes with more &amp;lt;span class="blackclass1"&amp;gt;intricate&amp;lt;/span&amp;gt; problems. These complex problems are addressed due to the usage of computing technologies and advanced algorithms. Reduction techniques enable the system from higher-order to lower-order form retaining the properties of former even after reduction. This document renders a method for demotion of uncertain systems based on State Space Analysis. Numerical examples are illustrated to show the accuracy of the proposed method.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i1.pp244-252</dc:identifier><dc:identifier>10.11591/ijece.v7i1.pp244-252</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 1 (2017); 244</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/6274/6099</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>