Adaptive moving grid methods for quasilinear parabolic systems.

1989
Al-Khawajah, Ayman
Show full item record
113
views
0
downloads
https://hdl.handle.net/11511/3144
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Adaptive Control Algorithm for Linear Systems with Matched and Unmatched Uncertainties
Yayla, Metehan; Kutay, Ali Türker (2016-12-14)
In this paper, a new uncertainty identification method is introduced for both matched and unmatched uncertainties in an uncertain dynamical system. Online identifications of matched and unmatched uncertainties that can be linearly parameterized are ensured without requiring persistent excitation (PE) condition. Furthermore, constant weight matrices that parameterizes the unstructured uncertainties are guaranteed to stay bounded without PE. Findings are implemented on a hybrid adaptive control design, and gl...
Adaptive Harmonic Balance Methods, A Comparison
Sert, Onur; Ciğeroğlu, Ender (2016-01-28)
Harmonic balance method (HBM) is one of the most popular and powerful methods, which is used to obtain response of nonlinear vibratory systems in frequency domain. The main idea of the method is to express the response of the system in Fourier series and converting the nonlinear differential equations of motion into a set of nonlinear algebraic equations. System response can be obtained by solving this nonlinear equation set in terms of the unknown Fourier coefficients. The accuracy of the solution is great...
Adaptive equalization of the HF fading multipath channels by using a fractionally spaced decision feedback equalizer and a modified kalman channel tracking scheme
Salih, Murat; Tanık, Yalçın; Department of Electrical and Electronics Engineering (1989)
Hybrid wavelet-neural network models for time series data
Kılıç, Deniz Kenan; Uğur, Ömür; Department of Financial Mathematics (2021-3-3)
The thesis aims to combine wavelet theory with nonlinear models, particularly neural networks, to find an appropriate time series model structure. Data like financial time series are nonstationary, noisy, and chaotic. Therefore using wavelet analysis helps better modeling in the sense of both frequency and time. S&P500 (∧GSPC) and NASDAQ (∧ IXIC) data are divided into several components by using multiresolution analysis (MRA). Subsequently, each part is modeled by using a suitable neural network structure. ...
Nonlinear reduced order modeling of bolted joints
Karapıstık, Gökhan; Ciğeroğlu, Ender; Department of Mechanical Engineering (2019)
Most of the structural systems assembled by using bolted joints. Therefore, bolted joint models have a critical importance to estimate the behavior of the overall assembled system. There are several linear bolted joint models, which consist of spring and dashpot elements in literature. While they can estimate the resonant frequency of the overall system with a sufficient accuracy, linear bolted joint models are inadequate for approximating the damping, which arises from the friction in the contact interface...
Citation Formats
A. Al-Khawajah, “Adaptive moving grid methods for quasilinear parabolic systems.,” Middle East Technical University, 1989.
METU IIS - Integrated Information Service open@metu.edu.tr