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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"model order reduction (MOR)"”.
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GPU and Krylov Based Parallel Model Order Reduction Algorithms for MIMO Circuit Reductions
… and time analysis. The associated timing, memory and costs of solving large sets of circuit equations become prohibitively expensive. Simulation of such systems help designers to build, analyze and characterize circuits prior to their manufacturing. However, working with full-scale models can …
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Data-Driven Multidisciplinary Design and Optimisation of Future Aircraft
… by introducing novel approaches that leverage model-order reduction (MOR) techniques and advanced machine learning (ML) methodologies to significantly enhance computational efficiency compared to traditional Computational Fluid Dynamics (CFD). The core innovation lies in developing a …
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A shifting method for dynamic system Model Order Reduction
Model Order Reduction (MOR) is becoming increasingly important in computational applications. At the same time, the need for more comprehensive models of systems is generating problems with increasing numbers of outputs and inputs. Classical methods, which were developed for Single-Input …
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Model-order reduction techniques for the numerical solution of electromagnetic wave scattering problems
… of this work to contribute to the development of model-order reduction (MOR) techniques for the field of computational electromagnetics in relation to the electric field integral equation (EFIE) formulation. The ultimate goal is to enable a fast-sweep analysis. In a fast-sweep problem, some …
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Adaptive dynamic programming with eligibility traces and complexity reduction of high-dimensional systems
… (HDP) and dual heuristic programming (DHP). Moreover, a one-step temporal-difference (TD(0)) and <em>n</em>-step TD (TD(λ)) with their gradients are utilized as learning algorithms to train and online-adapt the families of ADP. The dissertation is organized into seven papers. The first paper …
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Non-linear reduced order modeling for transport dominated fuid systems
Reduced 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 …
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Model order reduction of electro-thermal MEMS
The modeling of electro-thermal processes, for example Joule heating, is becoming increasingly important in microsystems (in the following MEMS) development. In microelectronic systems, for example, high temperatures may cause the malfunction or even destruction of the device. Other devices, such …
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Approximation of Parametric Dynamical Systems
Dynamical systems are widely used to model physical phenomena and, in many cases, these physical phenomena are parameter dependent. In this thesis we investigate three prominent problems related to the simulation of parametric dynamical systems and develop the analysis and computational framework …
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Probabilistic finite-difference time-domain simulations using stochastic electromagnetic macro-models
… systems, we propose the infusion of stochastic modeling with the electromagnetic macro-model in the finite-difference time-domain (FDTD) method. We provide a methodology for the efficient generation and utilization of the stochastic macro-model for the purpose of time-domain analysis in FDTD. …
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Model order reduction methods for data assimilation : state estimation and structural health monitoring
… of this thesis is to develop and analyze model order reduction approaches for the efficient integration of parametrized mathematical models and experimental measurements. Model Order Reduction (MOR) techniques for parameterized Partial Differential Equations (PDEs) offer new opportunities …
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Model Reduction of Power Networks
… large-scale systems have high dimensional models that are computationally expensive to simulate especially in real time applications, stability analysis, and control design. Model order reduction (MOR) tackles this issue by approximating these high dimensional models with reduced …
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Reduced-order modelling, circuit-level design and SOI fabrication of microelectromechanical resonators
… and switches. First, a new approach for compact modeling and simulation of these devices is presented. Then, a combined process flow for their simultaneous fabrication on a SOI substrate is proposed. Compact models for microresonators and switches are extracted by applying mathematical model …
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MODEL-BASED LEARNING AND CONTROL OF ADVECTION-DIFFUSION TRANSPORT USING MOBILE ROBOTS
<p>Mathematical models that describe different processes and phenomena are of paramount importance in many robotics applications. Nevertheless, utilization of high-fidelity models, particularly Partial Differential Equations (PDEs), has been hindered for many years due to the lack of adequate …
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Modeling and Simulation of Nonlinearly Loaded Electromagnetic Systems via Reduced Order Models - A Case Study: Energy Selective Surfaces
L'abstract è presente nell'allegato / the abstract is in the attachment
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Efficient Finite Element Electromagnetic Analysis for High-Frequency/High-Speed Circuits And Multiconductor Transmission Lines
… element electromagnetic field solver with high-order vector elements for high-frequency and high-speed circuit simulations. The solver supports wave port and lumped port excitations as well as the incorporation of lumped networks and circuit models in a distributed finite element model. An …