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 175 for “"Nonlinear system"”.
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Model-based algorithms for nonlinear system identification
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.
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Applications of nonlinear system identification to protein structural prediction
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
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Nonlinear system identification and control using a neural network approach
… multi-layer perceptrons (MLPs) for a complex system are presented. The quasi-linear system to be controlled is both unstable and nonlinear. The complete nonlinear feedback control system is designed without a priori information of the plant dynamics, using only measured input/output data. The …
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Application of cascade-correlation neural networks to nonlinear system identification
… artificial neural networks to the problem of nonlinear system identification. The most common neural network architecture, the multilayer feed-forward network, trained with the backpropagation algorithm, has been shown to be capable of universal function approximation which makes it applicable …
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Neuro-Fuzzy Based Intelligent Approaches to Nonlinear System Identification and Forecasting
Nearly three decades back nonlinear system identification consisted of several ad-hoc approaches, which were restricted to a very limited class of systems. However, with the advent of the various soft computing methodologies like neural networks and the fuzzy logic combined with optimization …
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Intermittent behavior in numerical solutions to a nonlinear system of equations
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Meteorology, 1979.
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Space-frequency localized basis function networks for nonlinear system identification and control
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1995.
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Reduced-order modeling and nonlinear system identification in structural dynamics and material characterization
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-04-06 without embargo terms
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Nonlinear System Identification of Physical Parameters for Damage Prognosis and Localization in Structures
… health monitoring procedures using interrogative system identification techniques and determine sensitivities of physical parameters to damage. Additionally, vibration-based spectral quantities are related to physical properties of the structure under test. In this thesis, nonlinear response to …
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Beans to Bytes: Grey-Box Nonlinear System Identification Using Hybrid Physics-Neural Network Models
… results. However, the applicability to system identification and modelling dynamical systems still has a great amount of room for exploration. This thesis reviews different neural network architectures and their application to complex non-linear dynamic system identification. In …
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Estimation of nonlinear systems using Jump Matrix Technique
An estimator for Nonlinear system estimation using Jump Matrix Technique is developed. The idea of the Jump Matrix Technique is to break up the nonlinear system into linear and nonlinear subsystems. The linear subsystem projection, during the sampling interval, is on the basis of the transition …
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A theory of nonlinear systems
Introduction: A physically realizable nonlinear system, like a linear one, is a system whose present output is a function of the past of its input. We may regard the system as a computer that operates on the past of one time function to yield the present value of another time function. …
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System Identification via the Proper Orthogonal Decomposition
… the accuracy of analyses based on the model. System identification techniques attempt to circumvent these problems by using experimental response data to characterize or identify a system. However, identification of structures that are time-varying or nonlinear is problematic because the …
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Model order reduction for nonlinear systems
… model order reduction for a general type of nonlinear systems. Based on quadratic or even higher degree approximation and tensor reduction with assistance of Arnoldi type projection, we demonstrate a much better accuracy for the reduced nonlinear system to capture the original behavior than …
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Minimal Norm Constrained Interpolation
… the solution.</p> <p>We are then led to solve a nonlinear system of equations. We show that with Newton's method we have an exceptionally attractive and efficient method for solving this nonlinear system of equations.</p> <p>We display examples of such interpolants as well as convergence results …
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Optimal control of a biological waste-water treatment plant
… and investigated. The model is described by a nonlinear system of two differential equations with one bounded control. An optimal control problem of minimizing concentration of contaminated water at terminal time T is stated and solved. Optimal solutions are obtained analytically with the use …
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Response of a nonlinear two-degree-of-freedom system subjected to an impact loading
… solutions are difficult because of the highly nonlinear characteristics of the oleo-pneumatic shock strut which couples the lower mass of the landing gear to the fuselage. In the past, attempts to obtain solutions by linearization of these shock strut characteristics have resulted in …
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Approximation methods for output regulation of nonlinear systems
… problems of geometric output regulation for a nonlinear system governed by Burgers' equation. We also present a method for solving the linearized output regulation problem which provides initial data for our iterative scheme. We provide an example which demonstrates the convergence of our …
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