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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
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Hybrid Systems Modeling Manufacturing and Front Dynamics / Hybride Systeme modellieren Produktionssysteme und FrontdynamikPeters, Karsten 17 July 2003 (has links)
No description available.
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Dynamics and Eigenfunctions of Hamiltonian Ratchets / Dynamik und Eigenfunktionen Hamiltonischer RatschenOtto, Marc-Felix 04 July 2002 (has links)
No description available.
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Goal-Oriented Control of Self-Organizing Behavior in Autonomous Robots / Zielgerichtete Steuerung von selbstorganisiertem Verhalten in autonomen RoboternMartius, Georg 07 September 2009 (has links)
No description available.
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Collective Dynamics in Networks of Pulse-Coupled Oscillators / Kollektive Dynamik in Netzwerken pulsgekoppelter OszillatorenTimme, Marc 11 December 2002 (has links)
No description available.
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Untersuchung von Einzel- und Mehrblasensystemen in akustischen Resonatoren / Investigation of single and multi bubble systems in acoustic resonatorsKrefting, Dagmar 28 October 2003 (has links)
No description available.
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Angst und Leistung im Rahmen der Katastrophentheorie - Untersuchungen zum optimalen Erregungsniveau bei Fallschirmspringern / Anxiety, Performance,and Catastrophe Theory - Studies on the Optimal Arousal Level of SkydiversSchiedek, Steffen 01 June 2004 (has links)
No description available.
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Pattern Formation in Cellular Automaton Models - Characterisation, Examples and Analysis / Musterbildung in Zellulären Automaten Modellen - Charakterisierung, Beispiele und AnalyseDormann, Sabine 26 October 2000 (has links)
Cellular automata (CA) are fully discrete dynamical systems. Space is represented by a regular lattice while time proceeds in finite steps. Each cell of the lattice is assigned a state, chosen from a finite set of "values". The states of the cells are updated synchronously according to a local interaction rule, whereby each cell obeys the same rule. Formal definitions of deterministic, probabilistic and lattice-gas CA are presented. With the so-called mean-field approximation any CA model can be transformed into a deterministic model with continuous state space. CA rules, which characterise movement, single-component growth and many-component interactions are designed and explored. It is demonstrated that lattice-gas CA offer a suitable tool for modelling such processes and for analysing them by means of the corresponding mean-field approximation. In particular two types of many-component interactions in lattice-gas CA models are introduced and studied. The first CA captures in abstract form the essential ideas of activator-inhibitor interactions of biological systems. Despite of the automaton´s simplicity, self-organised formation of stationary spatial patterns emerging from a randomly perturbed uniform state is observed (Turing pattern). In the second CA, rules are designed to mimick the dynamics of excitable systems. Spatial patterns produced by this automaton are the self-organised formation of spiral waves and target patterns. Properties of both pattern formation processes can be well captured by a linear stability analysis of the corresponding nonlinear mean-field (Boltzmann) equations.
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Time Series Analysis informed by Dynamical Systems TheorySchumacher, Johannes 11 June 2015 (has links)
This thesis investigates time series analysis tools for prediction, as well as detection and characterization of dependencies, informed by dynamical systems theory.
Emphasis is placed on the role of delays with respect to information processing
in dynamical systems, as well as with respect to their effect in causal interactions between systems.
The three main features that characterize this work are, first, the assumption that
time series are measurements of complex deterministic systems. As a result, functional mappings for statistical models in all methods are justified by concepts from
dynamical systems theory. To bridge the gap between dynamical systems theory and data, differential topology is employed in the analysis. Second, the Bayesian paradigm of statistical inference is used to formalize uncertainty by means of a consistent
theoretical apparatus with axiomatic foundation. Third, the statistical models
are strongly informed by modern nonlinear concepts from machine learning and nonparametric modeling approaches, such as Gaussian process theory. Consequently,
unbiased approximations of the functional mappings implied by the prior system level analysis can be achieved.
Applications are considered foremost with respect to computational neuroscience
but extend to generic time series measurements.
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The significance of coherent flow structures for the turbulent mixing in wall-bounded flows / Die Bedeutung kohärenter Strukturen für die turbulente Vermischung in WandgrenzschichtenKähler, Christian Joachim 01 July 2004 (has links)
No description available.
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Self-Organizing Control for Autonomous Robots / A Dynamical Systems Approach Based on the Principle of Homeokinesis / Selbstorganisierende Steuerung für Autonomer Roboter / Ein Dynamischer Systeme-Ansatz basierend auf dem Prinzip der HomeokineseHesse, Frank 19 January 2009 (has links)
No description available.
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