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Control of uncertain systems with l 1 and quadratic performance objectivesRieber, Jochen M. January 2007 (has links)
Stuttgart, Univ., Diss., 2006. / Druckausg. beim VDI-Verl., Düsseldorf als: Fortschrittberichte / VDI : Reihe 8 ; Nr. 1125 erschienen.
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Nonlinearly coupled thermopiezoelectric modelling and FE simulation of smart structuresLentzen, Sven January 2009 (has links)
Zugl.: Aachen, Techn. Hochsch., Diss.
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Nonlinear model predictive control a sampled data feedback perspective /Findeisen, Rolf. January 2004 (has links)
Stuttgart, Univ., Diss., 2004.
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Berechnung singulärer Punkte nichtlinearer GleichungssystemeSchnabel, Uwe. Unknown Date (has links) (PDF)
Techn. Universiẗat, Diss., 2000--Dresden.
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Nichtlineare Verformung einachsig belasteter GewebeMüllen, Andreas Josef. Unknown Date (has links) (PDF)
Techn. Hochsch., Diss., 2000--Aachen.
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Modellierung und Regelung nichtlinearer dynamischer Mehrgrößensysteme auf der Basis von fuzzy-verknüpften lokalen linearen ModellenBaur, Marcus. Unknown Date (has links) (PDF)
Techn. Universiẗat, Diss., 2004--Chemnitz.
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Symmetriereduktionen und explizite Lösungen für ein nichtlineares Modell eines Preisbildungsprozesses in illiquiden MärktenChmakova, Alina Y. Unknown Date (has links) (PDF)
Techn. Universiẗat, Diss., 2005--Cottbus.
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DIANA - an object oriented tool for nonlinear analysis of chemical processesKrasnyk, Mykhaylo January 2008 (has links)
Zugl.: Magdeburg, Univ., Diss., 2008
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Preconditioned iterative methods for monotone nonlinear eigenvalue problemsSolov'ëv, Sergey I. 11 April 2006 (has links) (PDF)
This paper proposes new iterative methods for the efficient computation of the smallest eigenvalue of the symmetric nonlinear matrix eigenvalue problems of large order with a monotone dependence on the spectral parameter. Monotone nonlinear eigenvalue problems for differential equations have important applications in mechanics and physics. The discretization of these eigenvalue problems leads to ill-conditioned nonlinear eigenvalue problems with very large sparse matrices monotone depending on the spectral parameter. To compute the smallest eigenvalue of large matrix nonlinear eigenvalue problem, we suggest preconditioned iterative methods: preconditioned simple iteration method, preconditioned steepest descent method, and preconditioned conjugate gradient method. These methods use only matrix-vector multiplications, preconditioner-vector multiplications, linear operations with vectors and inner products of vectors. We investigate the convergence and derive grid-independent error estimates of these methods for computing eigenvalues. Numerical experiments demonstrate practical effectiveness of the proposed methods for a class of mechanical problems.
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Hamiltonian eigenvalue symmetry for quadratic operator eigenvalue problemsPester, Cornelia 01 September 2006 (has links) (PDF)
When the eigenvalues of a given eigenvalue problem are symmetric with respect to the real and the imaginary axes, we speak about a Hamiltonian eigenvalue symmetry or a Hamiltonian structure of the spectrum. This property can be exploited for an efficient computation of the eigenvalues. For some elliptic boundary value problems it is known that the derived eigenvalue problems have this Hamiltonian symmetry. Without having a specific application in mind, we trace the question, under which assumptions the spectrum of a given quadratic eigenvalue problem possesses the Hamiltonian structure.
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