Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 19 of 19 for “"complex dynamical systems"”.
-
Taming of Complex Dynamical Systems
… local existence and uniqueness of solutions to systems of differential equations is well understood and has a long history. However, the problem of proving global existence and uniqueness is more difficult and fails even for some very simple ordinary differential equations. It is still not known …
-
Spectral Analysis of Complex Dynamical Systems
… we perform spectral analysis on two separate complex dynamical systems. The vibrations along a continuous string or a string with beads on it are the governed by the continuous or discrete wave equation. We derive a small-vibrations model for multi-connected continuous strings that lie in a …
-
Exploring Complex Dynamical Systems via Advanced Computational Approaches
L'abstract è presente nell'allegato / the abstract is in the attachment
-
On Data-Driven Modeling, Robust Control, and Analysis for Complex Dynamical Systems
… tools for robust control and analysis of complex nonlinear dynamical systems. Specifically, it leverages standard synthesis and robustness analysis techniques developed for linear systems and provides additional results to design robust controllers for nonlinear systems over the considered …
-
Direct and adaptive quantification schemes for extreme event statistics in complex dynamical systems
… state and that correspond to large excursions. Complex systems exhibiting extreme events include dynamical systems found in nature, such as the occurrence of anomalous weather and climate events, turbulence, formation of freak waves in the ocean and optics, and dynamical systems in engineering …
-
Data-driven modelling and optimised reverse engineering of complex dynamical systems in cancer research
Biological systems typically generate complex data that encapsulate the dynamics of interactions among measurables over time. To support the formation of insights into time series data from a biological system, there is a requirement to develop new methods that can analyse and translate such …
-
Investigation of different approaches for identification and control of complex and nonlinear systems using neural networks
… the problem of building mathematical models of dynamical systems based on observed data from the systems. Most of the conventional techniques of system identification, in general, require some amount of a priori knowledge about the structure of the systems. Also, they are only useful either with …
-
Efficient computational methods for robustness analysis
… and performance have dominated the field of systems and control theory because of their practical importance. The recently developed Integral Quadratic Constraint (IQC) based analysis method provides a framework for systematically checking robustness properties of large complex dynamical …
-
Generating Unprecedented Extreme Scenarios with Limited Data
… a crucial yet challenging task in understanding complex dynamical systems, ubiquitous in science and engineering. Many practical challenges arise from the infrequency and severity of these events, including the considerable variance of simple sampling methods and the substantial computational …
-
Probabilistic modeling of planar pushing
… data-driven modeling and stochastic filtering of complex dynamical systems. The main contributions are GP-SUM, a filtering algorithm tailored to systems expressed as Gaussian processes (GP), and the probabilistic modeling of planar pushing by combining input-dependent GPs and GP-SUM. The main …
-
Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems
… of model order reduction (MOR) for simulating complex dynamical systems. Agglomerative hierarchical clustering based on performance evaluation is introduced for MOR. This method computes the reduced order denominator of the transfer function by clustering system poles in a hierarchical …
-
Non-linear reduced order modeling for transport dominated fuid systems
… order modeling aims to approximate large and complex dynamical systems with smaller ones to reduce simulation costs in the design or control processes of these systems. Standard linear mode-based model order reduction (MOR) can fail for transport dominated fluid systems (TDFS), because the …
-
Synchronization in complex systems with multiple time scales
In the present work synchronization phenomena in complex dynamical systems exhibiting multiple time scales have been analyzed. Multiple time scales can be active in different manners. Three different systems have been analyzed with different methods from data analysis. The first system studied is a …
-
Phase transitions in fluids and biological systems
In this thesis, I consider systems from two seemingly different fields: fluid dynamics and microbial ecology. In these systems, the unifying features are the existences of global non-equilibrium steady states. I consider generic and statistical models for transitions between these global states, …
-
Dynamic weakening and trained memory in avalanche dynamics from high-entropy alloys to neurons and spin systems
… energy under slow external driving—arise in systems ranging from earthquakes and crystalline solids to neuronal networks and spin models. Despite differences in microscopic mechanisms, these systems share universal features such as broad event-size distributions and scale-invariant critical …
-
Fire Simulation Cost Reduction for Improved Safety and Response for Underground Spaces
… However, the simulation cost of precise large complex dynamical systems such as fire in underground mines makes practical and even theoretical application challenging. This work details a novel methodology to reduce fire and airflow simulation costs in order to make simulation of complex …
-
Modeling And Identification Of Differentially Regulated Genes Using Transcriptomics And Proteomics Data
Photosynthetic organisms are complex dynamical systems, showing a remarkable ability to adapt to different environmental conditions for their survival. Mechanisms underlying the coordination between different cellular processes in these organisms are still poorly understood. In this dissertation we …
-
Lagrangian observations and numerical modelling of hydrodynamics, turbulence, and sediment transport in a tidal river
… located close to estuaries constitute complex dynamical systems, which are affected by the influences of both tidal variations from downstream and freshwater inputs from upstream, with the interaction of multiple physical processes controlling velocities, salinities, mixing, and …