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 16 of 16 for “"State-space Modeling"”.
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State-space modeling of MEG time series
… problem can be easily formulated as a state-space model (SSM) problem, the high dimension of the resulting state-space makes this approach computationally impractical. In this thesis we use a SSM to characterize from MEG recordings the spatiotemporal dynamics of underlying neural …
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Switching State Space Modeling via Constrained Inference for Clinical Outcome Prediction
… inference approach to train a switching state space model—an autoregressive hidden Markov model (AR-HMM)—for outcome prediction. Our method leverages knowledge distillation: a high-capacity LSTM "teacher" model is first trained to predict a target clinical outcome of interest, and its …
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State Space Modeling and Power Flow Analysis of Modular Multilevel Converters
… operation of the MMC, this thesis proposes a state-space analysis technique in the present paper. Combining the power flow analysis with the state trajectory portrayed on a set of two-dimensional state plans, it clearly delineates the desired power transfer from the unwanted circulating …
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State-space modeling and optimal control of ship motions in a seastate
In this thesis, a new state-space model and motion control algorithm are developed from first principles for the improvement of the seakeeping performance of high-speed vessels equipped with lifting appendages that are actively controlled in regular and random waves. A ship at sea can experience …
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State space modeling of differential-algebraic systems using singularly perturbed sliding manifolds
This thesis introduces a new approach for modeling and control of algebraically constrained dynamic systems. The formulation of dynamic systems in terms of differential equations ·and algebraic constraints provides a systematic framework that is well suited for object oriented modeling of …
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State-space Modeling of Neural Oscillations: Toward Assessing Alzheimer’s Disease Neuropathology with Sleep EEG
… These new algorithms build on previous ideas of state-space modeling of neural oscillations and enable novel solutions to some fundamental questions in sleep EEG, which are crucial to address for its interpretability in older adults. First, a previous data-driven greedy search method is improved …
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COMMON MODE VOLTAGE ELIMINATION IN THREE-PHASE FOUR-LEG INVERTERS UTILIZING PULSE DENSITY MODULATION
… of the equipment under test (EUT), utilizing state-space modeling, was analyzed using computer simulations and a laboratory prototype, utilizing SiC switching devices, was designed to validate the model. The physics-based model of the proposed control system was converted to Verilog, a …
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Design And Implementation Of A Digital Controller With Dsp For Half-br
… models are investigated based on averaged state-space modeling. Considering half-bridge isolated DC-DC converter with a current doublers rectifier has advantages over other topologies especially in the application of low-voltage and high-current DC-DC converters, the thesis take it as an …
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An Analysis Using State Space Global Coherence of Brain Dynamics in a Young Child Under Sevoflurane General Anesthesia
The dynamics of brain states under general anesthesia in infants are complex and exhibit significant developmental changes, particularly in the context of neurophysiological responses. Traditional EEG analysis has been valuable in tracking these changes, but there is a critical need for more …
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Marginal oscillator sensitivity enhancement using full-state nonlinear feedback
… is only a few kilohertz wide where the search space may span many megahertz. Hence a search may require many hours to complete. Second, CW requires much less power than Fourier or pulsed techniques; this is very useful in field applications, and to avoid quenching superconducting search coils. …
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Biophysical modeling of hemodynamic-based neuroimaging techniques
… method based on multi-distance measurements and state-space modeling was developed and further optimized to remove systemic physiological oscillations contaminating the NIRS signal. Furthermore, the cortical and pial contributions to the NIRS signal were quantified using a new multimodal …
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Control of Vibration Systems with Mechanical Motion Rectifier and their Applications to Vehicle Suspension and Ocean Energy Harvester
… control methods for both systems with simplified modeling setup, then followed by the application of a novel mechanical motion rectifier (MMR) gearbox that uses mechanical one-way clutches in both systems. The flow is from the control for common system to the control design for a specifically …
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Analysis and Optimization of the Two-Phase Series Capacitor Buck DC-DC Converter
… control loop. In this work, a complete state-space average model for the series capacitance buck switching regulators is linearized to develop a robust controller satisfying the stability and converter performance specifications. The presented averaging model includes the simplest model …
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Feedback Control of Ionic Polymer Actuators
… is used to design a feedback compensator by state space modeling techniques. Since the ionic polymer actuator has a slow settling time in the open-loop, the design objectives are to minimize the settling time and constrain the control voltage to be less than a prescribed value. The controller …
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Vibration Characterization and Numerical Modeling of a Pneumatic Impact Hammer
… process. The second sub-model deals with modeling the structural components of the impact hammer consisting of the major hammer like the center body, handle, piston and chisel as well as the human hand and the ground. Time domain simulations of the hammer were carried out by using a state …
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Longterm Approaches to Assessing Tree Community Responses to Resource Limitation and Climate Variation
… for six co-occurring tree species. I developed a state-space modeling framework for predicting canopy conductance and transpiration which incorporates uncertainty in canopy and observation uncertainty. This approach is used to evaluate the degree to which co-occur deciduous tree species exhibited …