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 121 for “"state-space model"”.
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A state space model for inflation
… parameter assumption in Wilkie's Inflation model may be too restrictive. In this work we investigate the model proposed by Arsad (1999), where the mean level of inflation is assume to follow an AR(1) process. We compare the result obtained when prior knowledge of the initial parameter state …
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State Space Model of a Light Weight Flexible Telescope
… telescope, the goal of this thesis is to build a state space model of a two-degree-of-freedom telescope using a known star location as feedback. The model presented in this thesis may be used for the telescope simulation and the control design in the future. This project considers a light weight …
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Motor control and learning by the state space model
Thesis. 1977. Ph.D.--Massachusetts Institute of Technology. Dept. of Psychology.
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Factor-based replication of hedge funds using a state space model
It has been suggested that the Kalman filter technique may be used to improve the quality of hedge fund replication, compared to existing replication techniques. This study uses the Kalman filter technique, along with three variations of the rolling-window regression technique, to create clones …
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Melt Pool Feature Extraction, A State-Space Model and Spatial Layer-to-Layer Control for Powder Bed Fusion
… II presents a novel spatial, layer-to-layer, state-space control-oriented model for PBF, which transforms a temporal heat transfer model into a voxel-based spatial model, which is easy to analyze and implement. Output controllability is discussed. Simulations are presented to demonstrate the …
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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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Approximation of integro-partial differential equations of hyperbolic type
A state space model is developed for a class of integro-partial differential equations of hyperbolic type which arise in viscoelasticity. An approximation scheme is developed based on a spline approximation in the spatial variable and an averaging approximation in the de1ay variable. Techniques …
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Structured linear algebra problems and applications to system identification
… solution of the multi-input/multi-output (MIMO) state space identification problem. Finally, theoretical results are given that relate to the problem of determining the distance of a state space model from a state space model that is non-minimal. This may be interpreted as an attempt to show that …
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Modeling and prediction of wind power data
… power prediction. We used different time series models in statistics to predict wind power, including ARIMA model, SARIMA model, ARAR model, Holt-Winters method, and a state-space model. We compared the difference between the predicted data and the original data. We conclude that a state space …
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State-space models for stream networks
… throughout the stream network, we propose a state-space model to describe the spatial dependence in this tree-like structure with ordering based on flow. Developing a state-space formulation permits the use of the well known Kalman recursions. Variations of the Kalman Filter and Smoother are …
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Fault detection and isolation in switched linear systems and applications
… dynamics are described by a switched linear state space model. In a faulty mode, the state space model is modified by adding disturbance terms associated with parameter changes and component degradations. An FDI filter consists of a bank of reduced-order observers with residual generators …
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Designing Active Control Laws in a Computational Aeroelasticity Environment
… identification technique to develop an explicit state-space model for control law design from the output of a computational aeroelasticity code. The particular computational aeroelasticity code employed in this dissertation solves the transonic small disturbance equation using a time-accurate, …
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Likelihood and Bayesian signal processing methods for the analysis of auditory neural and behavioral data
Developing a consensus on how to model neural and behavioral responses and to quantify important response properties is a challenging signal processing problem because models do not always adequately capture the data and different methods often yield different estimates of the same response …
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A variational approach to local optimality in control theory
… The approach is based on a locally specified state space model of the control dynamics; together with a goal function, which defines a generalized distance from each state position to the desired equilibrium point or trajectory. A feedback control function is sought, which will result in a …
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Characterization of a series viscous actuator for use in rehabilitative robotics
… forces may damage already-compromised joints. A state space model for the series viscous actuator was derived and verified by measurements upon a physical system. Physical design considerations for implementing a series viscous actuator, such as the appropriate gearing ratio and damper selection, …
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Design and Control of Capacitive Power Transfer Systems
… were applied to CPT systems. The first harmonic model of a CPT system consisting of a Class-E inverter and a full-bridge rectifer was developed by employing first harmonic approximation (FHA). The first harmonic model was then linearised at its operation point to yield a linearised state space …
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Sensorimotor learning under switching dynamics
… behavioural experiments and computational modelling to investigate how the sensorimotor system uses contextual information to create, update and recall motor memories. We first examine the role of muscle co-contraction in the learning of novel movement dynamics. We show that muscle …
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A Unified Technique for Dynamic Modeling and Stability Analysis of Microgrid Systems
This work presents a unified method for dynamic modeling and stability analysis of microgrid power systems. Using the automated state-model generation algorithm, a state-space model of the microgrid power system is derived. The model may be used to conduct time-domain simulations and analyze system …
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Development of a smartphone application to measure pavement roughness and to identify surface irregularities
… data: a double integration and an inverse state space model. Acceleration data was double-integrated numerically to obtain a surrogate estimate of pavement profile based on the calculated vertical position of the vehicle cab. After noting a fairly significant underprediction of IRI for …
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The Application of the Expectation-Maximization Algorithm to the Identification of Biological Models
… turned their attention toward biological process modeling and system identification. The abundance of data available, while inspiring, is also daunting to interpret. Following the initial work of Rangel et al., we propose a linear model for identifying the biological model behind the data and …
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