Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Minimum order linear system identification and parameter estimation with application
Download
index.pdf
Date
2014
Author
Erdoğan, Onur Cem
Metadata
Show full item record
Item Usage Stats
74
views
35
downloads
Cite This
Design, control, and investigation of complex systems require a tool to understand and model system behavior. This tool is the system identification, which convert the system response to a mathematical formulation. During the identification phase, the utilized model is important to convey system behavior. In this study, a number of minimum order and non-parametric system identification algorithms are implemented for the identification of linear time invariant mechanical systems. For this purpose, impulse response determination methods are investigated to obtain system behavior. State space modeling and special models used in the identification process of physical systems are investigated. Two system realization algorithms implementing minimum order non-parametric linear system identification are presented. A transformation based method for the extraction of physical system parameters from a real system model is represented. The suggested methods are implemented on both simulation and test data for different system models to investigate their effectiveness and performance.
Subject Keywords
Linear systems.
,
System theory.
,
Parameter estimation.
,
Wavelets (Mathematics).
,
Linear time invariant systems.
URI
http://etd.lib.metu.edu.tr/upload/12617887/index.pdf
https://hdl.handle.net/11511/23971
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Vester's Sensitivity Model for Genetic Networks with Time-Discrete Dynamics
Moreno, Liana Amaya; DEFTERLİ, ÖZLEM; Fuegenschuh, Armin; Weber, Gerhard Wilhelm (2014-07-03)
We propose a new method to explore the characteristics of genetic networks whose dynamics are described by a linear discrete dynamical model x(t+1) = Ax(t). The gene expression data x(t) is given for various time points and the matrix A of interactions among the genes is unknown. First we formulate and solve a parameter estimation problem by linear programming in order to obtain the entries of the matrix A. We then use ideas from Vester's Sensitivity Model, more precisely, the Impact Matrix, and the determi...
Quantum systems and representation theorem
Dosi, Anar (2013-09-01)
In this paper we investigate quantum systems which are locally convex versions of abstract operator systems. Our approach is based on the duality theory for unital quantum cones. We prove the unital bipolar theorem and provide a representation theorem for a quantum system being represented as a quantum -system.
Presentation of a multi-tone model and its application to feedforward circuit analysis
Coskun, Hakan; Mutlu, Ahmet; Demir, Şimşek (2004-12-01)
Analytical tools that characterize nonlinear systems are essential and need to be developed for initial rapid optimizations and understanding of the system performance. Modeling of the input signal is a crucial part of this task. In this work, we present a multi-tone representation for an arbitrary, stochastically not well-defined signal and its application to a feedforward circuit which involve two nonlinear amplifiers, couplers, phase and delay units. Particularly, amplitude and phase aspects of the model...
Improved state estimation for jump Markov linear systems
Orguner, Umut; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2005)
This thesis presents a comprehensive example framework on how current multiple model state estimation algorithms for jump Markov linear systems can be improved. The possible improvements are categorized as: -Design of multiple model state estimation algorithms using new criteria. -Improvements obtained using existing multiple model state estimation algorithms. In the first category, risk-sensitive estimation is proposed for jump Markov linear systems. Two types of cost functions namely, the instantaneous an...
Efficient Three-Layer Iterative Solutions of Electromagnetic Problems Using the Multilevel Fast Multipole Algorithm
Onol, Can; Ucuncu, Arif; Ergül, Özgür Salih (2017-05-19)
We present a three-layer iterative algorithm for fast and efficient solutions of electromagnetic problems formulated with surface integral equations. The strategy is based on nested iterative solutions employing the multilevel fast multipole algorithm and its approximate forms. We show that the three-layer mechanism significantly reduces solution times, while it requires no additional memory as opposed to algebraic preconditioners. Numerical examples involving three-dimensional scattering problems are prese...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. C. Erdoğan, “Minimum order linear system identification and parameter estimation with application,” M.S. - Master of Science, Middle East Technical University, 2014.