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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=66211"><dc:title>An ℋ∞ optimal robust pole placement with fixed transparent controller structure on the basis of nonnegativity of even spectral polynomials</dc:title><dc:creator>Sarjaš,	Andrej	(Avtor)
	</dc:creator><dc:creator>Svečko,	Rajko	(Avtor)
	</dc:creator><dc:creator>Chowdhury,	Amor	(Avtor)
	</dc:creator><dc:subject>optimal robust controller</dc:subject><dc:subject>optimization</dc:subject><dc:subject>algorithm</dc:subject><dc:description>This paper presents the synthesis of an optimal robust controller with the use of pole placement technique. The presented method includes solving a polynomial equation on the basis of the chosen fixed characteristic polynomial and introduced parametric solutions with a known parametric structure of the controller. Robustness criteria in an unstructured uncertainty description with metrics of norm ℋ∞ are for a more reliable and effective formulation of objective functions for optimization presented in the form of a spectral polynomial with positivity conditions. The method enables robust low-order controller design by using plant simplification with partial-fraction decomposition, where the simplification remainder is added to the performance weight. The controller structure is assembled of well-known parts such as disturbance rejection, and reference tracking. The approach also allows the possibility of multiobjective optimization of robust criteria, application of mixed sensitivity problem, and other closed-loop limitation criteria, where the common criteria function can be composed from different unrelated criteria. Optimization and controller design are performed with iterative evolution algorithm.</dc:description><dc:date>0</dc:date><dc:date>2017-06-15 08:28:48</dc:date><dc:type>Znanstveno delo</dc:type><dc:identifier>66211</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
