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 29 for “"Nonlinear Dynamic Systems"”.
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Continuous linearization control methodology for nonlinear dynamic systems
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1994.
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Comparison of neural and control theoretic techniques for nonlinear dynamic systems
This thesis compares classical nonlinear control theoretic techniques with recently developed neural network control methods based on the simulation and experimental results on a simple electromechanical system. The system has a configuration-dependent inertia, which contributes a substantial …
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Comparison of neural and control theoretic techniques for nonlinear dynamic systems
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.
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Noise-Enabled Observability of Nonlinear Dynamic Systems Using the Empirical Observability Gramian
… understood to influence the observability of nonlinear dynamical systems, actuation of nonlinear stochastic systems by process noise has received comparatively little attention in terms of the effects on observability. As noise is present in essentially all physically instantiated systems, …
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Model-based identification and control of nonlinear dynamic systems using neural networks
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.
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A Neural Network-Augmented Bayesian Approach To Uncertain Parameter Estimation In Nonlinear Dynamic Systems
… which utilizes kinematic quantities of a nonlinear dynamic system to estimate uncertain and unknown parameters more accurately with reduced estimation error and using fewer iterations. Kinematics pertains to the motion of bodies in the robotic mechanism without regard to the forces or …
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A Neural Network-Augmented Bayesian Approach To Uncertain Parameter Estimation In Nonlinear Dynamic Systems
… which utilizes kinematic quantities of a nonlinear dynamic system to estimate uncertain and unknown parameters more accurately with reduced estimation error and using fewer iterations. Kinematics pertains to the motion of bodies in the robotic mechanism without regard to the forces or …
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Neural-Network and Fuzzy-Logic Learning and Control of Linear and Nonlinear Dynamic Systems
… the modeling of fins and computation of the hydrodynamic forces produced by them, and a neural-network/fuzzy-logic controller. LAMP is based on a source-panel method to model the flowfield around the ship, whereas the fins are modeled by a general unsteady vortex-lattice method. The ship is …
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Contraction analysis of nonlinear systems
This thesis derives new results in nonlinear system analysis using methods inspired from fluid mechanics and differential geometry. Based on a differential analysis of convergence, these results may be viewed as generalizing the classical Krasovskii theorem, as well as linear eigenvalue analysis. …
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Non-linear dynamics identification using Gaussian process prior models within a Bayesian context.
… remains generally unexplored within the realm of nonlinear dynamic systems, where parametric methods are much more mature and more widely accepted. This thesis seeks to explore diverse aspects of mathematical modelling of nonlinear dynamic systems using Gaussian process prior models, a simple yet …
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Global dynamic optimization
… exact state bounds for the solution of a linear dynamic system. Given a nonzero tolerance, the method is rigorously shown to converge to the global solution in a finite time. An implementation is developed, and via a collection of case studies, the technique is shown to be very efficient in …
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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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Properties Of Nonlinear Randomly Switching Dynamic Systems: Mean-Field Models And Feedback Controls For Stabilization
<p>This dissertation concerns the properties of nonlinear dynamic systems hybrid with Markov switching. It contains two parts. The first part focus on the mean-field models with state-dependent regime switching, and the second part focus on the system regularization and stabilization using feedback …
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Information visibility and its effect on supply chain dynamics
Supply chains are nonlinear dynamic systems, the control of which is complicated by long, variable delays in product and information flows. In this thesis, we present a novel framework for improving the visibility of information in supply chains by reducing the delays in information flow. We first …
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Acoustic Modeling and Feature Selection for Speech Recognition
… divided into three parts. In the first part, a nonlinear dynamic system is proposed for formant tracking. Compared to previous formant trackers depending on least squares estimation of LPC coefficients, MUSIC (Multiple Signal Classification) and ESPRIT (Estimation of Signal Parameters via …
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A nonlinear dynamic system for spread spectrum code acquisition
Nonlinear differential equations and iterated maps can perform any computation. Sometimes, the most difficult part of performing a useful computation, however, is writing the program. Furthermore, in practice, we often need to build special purpose computing hardware suited to run a particular …
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An adaptive control technology for flight safety in the presence of actuator anomalies and damage
… characteristics of the underlying aircraft dynamics. This thesis proposes the building blocks of an adaptable and reconfigurable control technology that ensures safe flight under adverse flight conditions. This technology enables the synthesis of such controllers as well as the systematic …
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Adaptive Output Feedback Stabilization of Nonlinear Systems
… output feedback controller design techniques for nonlinear systems subject to different system restrictions. The problem of controlling the heart dynamics in a real time manner is formulated as an adaptive learning output-tracking problem. For a class of nonlinear dynamic systems with unknown …
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Applications of the Koopman Operator: Novel Methods and Formulations for Lifted Linear Models
The analysis and control of nonlinear dynamic systems is an active research field due to the ubiquity of nonlinear systems in the physical world. However, the handling of these systems is significantly more difficult than the handling of their linear counterparts, for which a host of methods and …
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