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 11 of 11 for “"Parameterized Model"”.
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Parameterized model order reduction for nonlinear dynamical systems
… the development of techniques for generating Parameterized Reduced Order Models (PROMs) of nonlinear dynamical systems. Such reduced order models could serve as a first step towards the automatic and accurate characterization of geometrically complex components and subcircuits, eventually …
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A parameterized model for selecting the optimum file organization in multi-attribute retrieval systems.
Massachusetts Institute of Technology, Alfred P. Sloan School of Management. Thesis. 1974. M.S.
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Model Order Reduction Based on Semidefinite Programming
… is complexity reduction of linear time-invariant models. The complexity in such systems is measured by the number of differential equations forming the dynamical system. This number is called the order of the system. Order reduction is typically used as a tool to model complex systems, the …
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Maintaining the utility of learned knowledge using model-based adaptive control
… similarity in performance responses suggests a parameterized model relating performance to the amount of learned knowledge. Given this model, a model-based adaptive control (MBAC) approach can be used to update the model based on feedback from the performance element and make control decisions …
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Representation of eddies in climate models by a potential vorticity flux
… equation, z-coordinate atmosphere and ocean models. Determining the transport characteristics of these eddies is fundamental to understanding their effect on the large-scale ocean circulation and global climate. The approach is to transform the primitive equations to yield the altered …
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Representation of eddies in climate models by a potential vorticity flux
… equation, z-coordinate atmosphere and ocean models. Determining the transport characteristics of these eddies is fundamental to understanding their effect on the large-scale ocean circulation and global climate. The approach is to transform the primitive equations to yield the altered …
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Parameterized modeling of multiport passive circuit blocks
… These optimizers demand for the availability of parameterized compact dynamical models of all individual modules. The parameters may include geometrical parameters, such as width and spacing for an inductor or design parameters such as center frequency or characteristic impedance in case of …
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Recovery of sparse signals and parameter perturbations from parameterized signal models
Estimating unknown signals from parameterized measurement models is a common problem that arises in diverse areas such as statistics, imaging, machine learning, and signal processing. In many of these problems, however, only a limited amount of data is available to recover the unknown signal. …
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Convex optimization methods for model reduction
Model reduction and convex optimization are prevalent in science and engineering applications. In this thesis, convex optimization solution techniques to three different model reduction problems are studied.Parameterized reduced order modeling is important for rapid design and optimization of …
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VALIDATION OF CIRCUIT TIMING BEHAVIOR IN THE PRESENCE OF DELAY DEFECTS AND NBTI AGING
… The traditional stuck-at, and transition fault model are not appropriate to model such defects. They must be tested appropriately by targeting critical paths in the circuit. Furthermore, reliability issues such as Negative Bias Temperature Instability (NBTI) and Hot carrier injection impact the …
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LONGITUDINAL SOLUTE TRANSPORT IN OPEN-CHANNEL FLOW - A Numerical Simulation Study on Longitudinal Dispersion, Surface Storage Effects, Transverse Mixing, Uncertainties and Parameter-Transferring Problems
The longitudinal solute transport modeling is critical in river and stream water quality management, control, and the mitigation of hazardous riverine spills. One of the widely used "deadzone" model is the transient storage model (TSM). TSM is a significant improvement over the advection-dispersion …