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 14 of 14 for “"State Transition Matrix"”.
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Identification of linear sampled data systems.
A least squares estimator is derived for the state transition matrix phi of a linear, stationary sampled data system operating in a stochastic environment. The estimator is shown to be unbiased and minimum variance under the condition of full observability of the state vector of the system. The …
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Continuous-time multivariable system identification
… is the transformation of the discrete-time state transition matrix to the continuous time system matrix. A new method for this transformation is presented also. This method along with the presented FOH transformation method have been published in Electronics Letters and another paper on this …
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State analysis modeling program
… as well as linear and nonlinear elements. State space techniques are the best means for analyzing systems of this type. SAMP (State Analysis Modeling Program, SAMPler), a digital computer program, uses these techniques in order to provide the following: 1. SAMP is capable of analyzing a …
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Analysis and synthesis of linear sequential machines.
… approach as it pertains to the direct-sum of the state space enables us to extend current results to cases other than the single input and non-derogatory state transition matrix and develop synthesis algorithms for a controllable and/or observable linear sequential machine. Minimality of a linear …
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Reduced rank filtering in chaotic systems with application in geophysical sciences
… of the dynamics to perturbations in the state or parameters of the system. In particular, uncertainties in a chaotic system experience growth and instability along a particular set of directions in the state space that are continually subject to large and abrupt state-dependent changes. …
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Development of An Adaptive Kalman Filter for Estimation in Chemical Plant.
… Kalman Filter to the on-line estimation of the state of a chemical process has so far met with a limited amount of success due to the inaccuracies and non-linearities of the mathematical models developed to describe the process being studied. To overcome these problems, two theoretical …
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Effects of propagation techniques on relative GPS navigation
… different techniques for propagating the filter state are demonstrated and evaluated. These techniques include, (1) integration of the equations of motion accounting for J2, J3, J4 and aerodynamic drag, (2) first-order equations of relative motion that account for the effects of J2 and include a …
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Design and modeling of kinetic impact missions for deflecting near-earth asteroids
… by introducing a new method for computing the state transition matrix of a nonlinear dynamical system. Based on the concept of the unscented transform, this method allows for computation of the state transition matrix without the need of tedious analytic partial derivatives or arbitrary finite …
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A novel reduced-complexity approach to hidden Markov modeling of two-dimensional processes with application to face recognition.
… to the computations of the probabilities of state transition and N is the number of states in the model. In this thesis, a low complexity high performance 2-D Hidden Markov Model (HMM) is proposed and is applied to the problem of Face Recognition. The proposed model is a true 2-D HMM. The …
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Hazard elimination using backwards reachability techniques in discrete and hybrid models
… a particular design can reach a hazardous state and, if it could, how to change the design to ensure that it does not. In most cases, this is done through testing or simulation or even less rigorous processes--none of which provide much confidence for complex systems. Because state spaces …
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Results of true-anomaly regularization in orbital mechanics
… the unperturbed motion are introduced as extra state variables, and regularization with several types of coordinates is considered. Because analytical results are sought, those regularizing transformations which produce rigorously linear governing equations are of main interest. When solutions …
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Simulation of spacecraft power systems using a modular state variable approach
… the source to the different loads. Using current state-of-the-art power conditioning electronics, complex series and parallel configurations will be required at the interface between the source and the distribution subsystem and between the distribution subsystem and the loads. The dynamic …
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Dynamic mode decomposition with application to optimal control
… system can be used to approximate the full-state gradient to within a margin of error of 0.02%. The error in the reduced order gradient is dependent on the quality of the reduced order model (ROM). In order to compute an accurate gradient, we require that the ROM be robust to the range of …
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Robust preliminary design for multiple gravity assist spacecraft trajectories
… multiple gravity assist trajectory optimization state-of-the-art, however, each one is also an important component of a modern trajectory design paradigm and is valuable for its ability to be integrated with and streamline that process as a whole. The bounded-impulse approximation is a widely …