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.
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Showing 1 to 20 of 20 for “"Linear Representation"”.
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A simplified representation of damping force in lumped-parameter systems with linear and nonlinear damping
… for each sub-system in the mathematical model of linear multi-degree-of-freedom systems, and to determine modal dissipation functions for nonlinear systems. For the purpose of this study, typical aerospace vehicle structure is used for system modeling. The analysis techniques are restricted to a …
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The Duffing Oscillator And Linearization Techniques For Its Motion Constants
Analyzing the characteristics of higher order nonlinear dynamic systems is really difficult. This can involve giving solutions with respect to time. Motion constants are another way of studying the behavior of the dynamic system. If the motion constant is known, solving the system is no longer …
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Hybrid Models for Representation of Imagery Data
… in textures by proposing a directional hybrid linear model, which combines linear hybrid models with directional filters and provides a deterministic representation of textures. Such a hybrid linear representation allows us to naturally deal with multiple textures that may appear in a single …
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Feedback linearization, invertibility of map, zero dynamics, and nonlinear control of the space station
Based on feedback linearization and ultimate boundedness theory, a new approach to attitude control of the space station using control moment gyros (CMG's) is presented. A linearizing transformation is derived to obtain a simple linear representation of the nonlinear pitch axis dynamics. A feedback …
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Equivariant Kolmogorov-Arnold-Moser theory
… repeated. Utilizing equivariant-singularity and linear representation theory we develop an alternative Γ-Diophantine condition and show that by modifying the Diophantine assumption in this way KAM theory can be applied to this new setting. Moreover, we demonstrate that this condition can be …
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A temporal analysis of natural language narrative text
… situations described and can be modelled by a linear representation of these situations. This representation conforms to the traditional view of the linearity of time where it is regarded as a horizontal line called the timeline. Information indicating the temporal ordering of events is often …
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The Quasidiffusion Method for Transport Problems on Unstructured Meshes
… voids) and is second-order accurate in space. A linear representation of the isotropic component of the scattering source based on face-average and cell-average scalar fluxes is also proposed and shown to be effective in some problems. In numerical tests, our QD method with linear scattering …
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Power System Stability Improvement with Decommissioned Synchronous Machine Using Koopman Operator Based Model Predictive Control
… of such device as well as the complicated nonlinear power system are usually unobtainable making the controller design a challenging problem. Therefore, a model free, purely data-driven strategy for the nonlinear controller design using Koopman operator-based framework is proposed. Besides, …
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A Model-Based Approach to Demodulation of Co-Channel MSK Signals
… is shown that MSK signals can be written in the linear model form, hence a minimum variance unbiased (MVU) estimator exists that satisfies the Cramer-Rao lower bound (CRLB) with equality. This framework allows us to derive the best estimators for a single-user and a two-user case. These concepts …
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Conceptual design of wave energy converters
… the mechanical circuit framework to transform a linear representation of any wave energy converter into an equivalent single body absorber, or canonical form, through the systematic application of Thévenin’s theorem. Once the canonical form for a WEC has been established, criteria originally …
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Koopman Operator Theory Applied to Lambert’s Problem with a Spectral Behavior Analysis
Astrodynamics is abundant with nonlinear dynamical systems, such as satellites operating within Earth’s gravitational field. With the increase in the number of satellite constellations, making accurate predictions of the motion of satellites throughout space is becoming more relevant than ever. …
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Deep learning-based artifacts removal in video compression
… and improve the coding efficiency, the non-linear representation ability of Convolutional Neural Network (CNN) has not been fully considered. Therefore, we propose a learning-based approach to remove the geom- etry artifacts and improve the compressing efficiency. Besides, we propose using a …
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Towards More Interpretable AI With Sparse Autoencoders
… across diverse domains, the specific representations and algorithms they learn remain largely unknown. The quest to understand these mechanisms holds dual significance: scientifically, it represents a fundamental inquiry into the principles underlying intelligence, while …
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A Comprehensive Study of Buoyant Rosette Jets Using Laboratory Experiments, CFD, and Machine Learning
… while MARS provides an interpretable piecewise linear representation but has limited generalization capabilities. The results show that combining LIF experiments with ML algorithms can effectively reduce the reliance on resource-intensive CFD while maintaining prediction accuracy. This …
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Sensor data analytics and web applications to improve monitoring and understanding of lake processes
… approximate vertical temperature profiles with linear segments using Piecewise Linear Representation (PLR) algorithm, from which stratification patterns can be extracted. We also propose an automated peak detection algorithm to identify the fluorescence peak where the DCL lies. Testing the …
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Algebraic dependence testing in the perspective of algebraic matroids
… a set of polynomials. This notion generalizes linear dependence, and understanding it has had applications to deterministic polynomial identity testing and algebraic circuit lower bounds. We present previous works on this topic including Perron's bound on the annihilating polynomial and the …
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Bridging Mri Reconstruction Across Eras: From Novel Optimization Of Traditional Methods To Efficient Deep Learning Strategies
… compressibility of images in a pre-specified linear transform domain. Transform learning (TL) was another line of work that learned the linear transforms from data, while enforcing sparsity as in CS. Recently, deep learning (DL) has shown great promise for MRI reconstruction, especially at …
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Organisational Learning and Capability Development in Mature Medium-sized Firms: An Exploration from an Enactment Perpsective.
… and variable than the positivist and predictive representation of the concept in the extant literature. It also proposes that organizational design and learning processes play a key role in the development of organisational capabilities. The research uses qualitative interviews within a case …
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Organisational learning and capability development in mature medium-sized firms : an exploration from an enactment perspective
… and variable than the positivist and predictive representation of the concept in the extant literature. It also proposes that organizational design and learning processes play a key role in the development of organisational capabilities. The research uses qualitative interviews within a case …
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A reduced order systems approach to prediction of emergent behaviors of biological systems
… we can exploit simulation data describing the nonlinear dynamics of single-cell/matrix behavior to create a reduced-order linear state equation in latent variable space. Furthermore, in order to predict multi-cell emergent behavior, the reduced-order linear models of single cells are used as …