PUMA publications for /user/00987301/systemhttps://puma.uni-kassel.de/user/00987301/systemPUMA RSS feed for /user/00987301/system2024-03-29T11:00:47+01:00- Benchmark problems for nonlinear system identification and control using Soft Computing methods: need and overviewhttps://puma.uni-kassel.de/bibtex/27139422ab10bf0794e499313d3701cbf/00987301009873012022-03-31T09:31:59+02:00Benchmarking, Nonlinear control, identification system <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Kroll" itemprop="url" href="/author/Andreas%20Kroll"><span itemprop="name">A. Kroll</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Horst Schulte" itemprop="url" href="/author/Horst%20Schulte"><span itemprop="name">H. Schulte</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Applied Soft Computing</em></span></span> </span>(<em><span>Dezember 2014<meta content="Dezember 2014" itemprop="datePublished"/></span></em>)
- On optimal experiment design for identifying premise and conclusion parameters of Takagi-Sugeno models: nonlinear regression casehttps://puma.uni-kassel.de/bibtex/253184f758e02356412cf7982b5977f90/00987301009873012022-03-31T09:31:59+02:00Takagi-Sugeno design design; experiment experiments, fuzzy identification models; nonlinear of optimal regression; system <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Kroll" itemprop="url" href="/author/Andreas%20Kroll"><span itemprop="name">A. Kroll</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Axel Dürrbaum" itemprop="url" href="/author/Axel%20D%c3%bcrrbaum"><span itemprop="name">A. Dürrbaum</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Applied Soft Computing</em></span></span> </span>(<em><span>2017<meta content="2017" itemprop="datePublished"/></span></em>)
- On joint optimal experiment design for identifying partition and local model parameters of Takagi-Sugeno modelshttps://puma.uni-kassel.de/bibtex/2a62f4bcd0dac434df35ebba90261698d/00987301009873012022-03-31T09:31:59+02:00Nonlinear Takagi-Sugeno design, experiment fuzzy identification, optimal system systems <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andreas Kroll" itemprop="url" href="/author/Andreas%20Kroll"><span itemprop="name">A. Kroll</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Axel Dürrbaum" itemprop="url" href="/author/Axel%20D%c3%bcrrbaum"><span itemprop="name">A. Dürrbaum</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the 17th IFAC Symposium on System Identification (SysID)</span>, </em></span><em>Seite <span itemprop="pagination">1427 -- 1432</span>. </em><em>Beijing, China, </em>(<em><span>Oktober 2015<meta content="Oktober 2015" itemprop="datePublished"/></span></em>)