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Tesi sul tema "Parameter identification"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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1

Manchu, Sreenivasarao. "Parameter Identification for Mechanical Joints." Thesis, Blekinge Tekniska Högskola, Avdelningen för maskinteknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4309.

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All but the simplest physical systems contains mechanical joints. The behavior of these joints is sometimes the dominant factor in over all system behavior. The potential for occurence of microslip and macroslip normally makes the behavior of joints non-linear. Accurate modeling of joints requires a non-linear ramework. As clamping pressures are typically random ad variable, the behavior of the joints becomes random. Joint geometries are random along with other unknowns of the joints. Two different methods for measuring the energy dissipation are explained. In the experimental method, the ener

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2

Jais, Mathias. "Parameter identification for Maxwell's equations." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/54581/.

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In this work we present a variational algorithm to determine the parameters iir(x) and er(x) in the Maxwell system VxE + k xTH = 0, V x H - kerE = 0 in a body Q from boundary measurements of electromagnetic pairs (n x En dci,n x Hn dn), n= 1,2,…, where n is the outer unit normal. We show that this inverse problem can be solved by minimizing a positive functional C7(m,c) and using a conjugate gradient scheme. Apart from implementations with global boundary, we also consider the case of partial boundary, where we have only data available on a subset T C dQ. Further do we develop uniquenes

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3

Norris, Mark A. "Parameter identification in distributed structures." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/71164.

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This dissertation develops two new techniques for the identification of parameters in distributed-parameter systems. The first technique identifies the physical parameter distributions such as mass, damping and stiffness. The second technique identifies the modal quantities of self-adjoint distributed-parameter systems. Distributed structures are distributed-parameter systems characterized by mass, damping and stiffness distributions. To identify the distributions, a new identification technique is introduced based on the finite element method. With this approach, the object is to identify "

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4

Sui, Liqi. "Uncertainty management in parameter identification." Thesis, Compiègne, 2017. http://www.theses.fr/2017COMP2330/document.

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Afin d'obtenir des simulations plus prédictives et plus précises du comportement mécanique des structures, des modèles matériau de plus en plus complexes ont été développés. Aujourd'hui, la caractérisation des propriétés des matériaux est donc un objectif prioritaire. Elle exige des méthodes et des tests d'identification dédiés dans des conditions les plus proches possible des cas de service. Cette thèse vise à développer une méthodologie d'identification efficace pour trouver les paramètres des propriétés matériau, en tenant compte de toutes les informations disponibles. L'information utilisé

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5

Kraft, Sönke. "Parameter identification for a TGV model." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00731143.

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This work investigates the applicability of identification methods to the suspension parameters of a TGV multi-body model. The aim is to adjust the model to the real system by estimating the suspension parameters from measured vehicle response data. Due to the nonlinear behavior of the system the time-domain based model updating has been chosen. It requires the definition and minimization of a misfit function in the time domain describing the distance between model and measurement. The fastest convergence is obtained by the use of gradient methods requiring the calculation of the derivatives o

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6

Drexel, Michael V. "Modal parameter identification using mode isolation." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17239.

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7

Rückert, Nadja, Robert S. Anderssen, and Bernd Hofmann. "Stable Parameter Identification Evaluation of Volatility." Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-85402.

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Using the dual Black-Scholes partial differential equation, Dupire derived an explicit formula, involving the ratio of partial derivatives of the evolving fair value of a European call option (ECO), for recovering information about its variable volatility. Because the prices, as a function of maturity and strike, are only available as discrete noisy observations, the evaluation of Dupire’s formula reduces to being an ill-posed numerical differentiation problem, complicated by the need to take the ratio of derivatives. In order to illustrate the nature of ill-posedness, a simple finite diffe

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8

Steele, Andrew D. "Time constrained qualitative model-based parameter identification." Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/735.

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9

Iacobucci, Marco. "Dynamic parameter identification of a collaborative robot." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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Abstract (sommario):

I robot collaborativi stanno guadagnando un interesse crescente nel campo della robotica. Dal momento che l'industria 4.0 richiede nuovi livelli di flessibilità e soluzioni innovative di prodotto, robot e umani recentemente hanno iniziato ad interagire e lavorare in un 'ambiente comune senza protezioni perimetrali. Questa tecnologia emergente può provvedere all'operatore supporto fisico o assistenza nello svolgere compiti pericolosi o faticosi. In questo scenario, un controllo in tempo reale dovrebbe essere il più affidabile possibile e minimizzare ogni rischio legato alla collaborazione tra u

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10

Alami, Mohsen. "Interval Based Parameter Identification for System Biology." Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75161.

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This master thesis studies the problem of parameter identification for system biology. Two methods have been studied. The method of interval analysis uses subpaving as a class of objects to manipulate and store inner and outer approximations of compact sets. This method works well with the model given as a system of differential equations, but has its limitations, since the analytical expression for the solution to the ODE is not always obtainable, which is needed for constructing the inclusion function. The other method, studied, is SDP-relaxation of a nonlinear and non-convex feasibility pro

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11

Zhou, Wenliang. "Multivariate analysis in vibration modal parameter identification /." View online ; access limited to URI, 2006. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3248248.

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12

Liu, Yi. "Grey-box Identification of Distributed Parameter Systems." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220.

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13

McGrail, Amanda K. "OnBoard Parameter Identification for a Small UAV." Thesis, West Virginia University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1522521.

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<p> One of the main research focus areas of the WVU Flight Control Systems Laboratory (FCSL) is the increase of flight safety through the implementation of fault tolerant control laws. For some fault tolerant flight control approaches with adaptive control laws, the availability of accurate post failure aircraft models improves performance. While look-up tables of aircraft models can be created for failure conditions, they may fail to account for all possible failure scenarios. Thus, a real-time parameter identification program eliminates the need to have predefined models for all potential fa

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14

Chander, R. "Identification of distributed parameter systems with damping." Diss., Georgia Institute of Technology, 1988. http://hdl.handle.net/1853/13386.

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15

Kampisios, Konstantinos T. "Electrical machines parameter identification using genetic algorithms." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/14005/.

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In Indirect Field Orientation (IFO) of induction motors, the interest for parameters identification has increased rapidly due to the great demand for high performance drives and more sophisticated control systems that have been made possible by the development of very powerful processors, such as floating point DSPs. Accurate knowledge of the machine electrical parameters is also required to ensure correct alignment of the stator current vector relative to the rotor flux vector, to decouple the flux - and torque - producing currents and to tune the current control loops. The accuracy and gener

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16

Wade, Scott. "Parameter identification for vector controlled induction machines." Thesis, Heriot-Watt University, 1995. http://hdl.handle.net/10399/1311.

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17

Pokhrel, Prafulla. "TOWARDS IMPROVED IDENTIFICATION OF SPATIALLY-DISTRIBUTED RAINFALL RUNOFF MODELS." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/194356.

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Distributed rainfall runoff hydrologic models can be highly effective in improving flood forecasting capabilities at ungauged, interior locations of the watershed. However, their implementation in operational decision-making is hindered by the high dimensionality of the state-parameter space and by lack of methods/understanding on how to properly exploit and incorporate available spatio-temporal information about the system. This dissertation is composed of a sequence of five studies, whose overall goal is to improve understanding on problems relating to parameter identifiability in distribute

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18

Bennia, Abdelhak. "Mimo systems parameters identification." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41579.

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<p>In this thesis, a presentation of a new canonical representation of multi-input multioutput systems is given. The new characterization covers the full range of practical situations in linear systems according to the structural properties and model of the perturbations which are known. Its direct link to ARMA processes as well as to classical state space representation ls also given.</p> <p> The importance of the new representation lies in the fact that all unknown parameters and state variables appear linearly multlplied by either external variables (inputs and outputs) that appear in the

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19

Johnson, Jay H. "AUV steering parameter identification for improved control design." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397498.

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Thesis (M.S. in Mechanical Engineering) Naval Postgraduate School, June 2001.<br>Thesis advisor(s): Healey, Anthony J. "June 2001." Includes bibliographical references (p. 55). Also Available in print.

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20

Vexler, Boris. "Adaptive finite element methods for parameter identification problems." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=971435170.

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21

Sabade, Sagar Suresh. "Integrated circuit outlier identification by multiple parameter correlation." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/267.

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Abstract (sommario):

Semiconductor manufacturers must ensure that chips conform to their specifications before they are shipped to customers. This is achieved by testing various parameters of a chip to determine whether it is defective or not. Separating defective chips from fault-free ones is relatively straightforward for functional or other Boolean tests that produce a go/no-go type of result. However, making this distinction is extremely challenging for parametric tests. Owing to continuous distributions of parameters, any pass/fail threshold results in yield loss and/or test escapes. The continuous advances i

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22

El-Gamal, Mohamed A. "Fault location and parameter identification in analog circuits." Ohio : Ohio University, 1990. http://www.ohiolink.edu/etd/view.cgi?ohiou1172776742.

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23

Song, Xiaohui 1974. "The parameter identification of a novel speed reducer /." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33994.

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Many a mechanical application involves power transmission from a high-speed motor to a low-speed load. However, existing speed-reduction mechanisms are usually a major sink of energy and information in mechanical transmissions. Energy and positioning information are lost through: (a) friction between sliding components; (b) compliance; and (c) backlash. A novel transmission for speed reduction, Speed-o-Cam, is currently under research at McGill University's Centre for Intelligent Machines (CIM). The transmission is based on the layout of pure-rolling indexing cam mechanisms, and hence, elimina

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24

Joseph, Daniel Scott. "Parameter Identification for the Preisach Model of Hysteresis." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/27295.

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Hysteresis, defined as a rate independent memory effect, is a phenomenon that occurs in many physical systems. The effect is sometimes desired, sometimes a nuisance, sometimes cata- strophic, but in every case we must understand hysteresis if we are to better understand the system itself. This work introduces a method of parameter identification for the Preisach model of hyster- esis. This identification method is explored in both the setting of non-singular measures and the setting of singular measures.<br>Ph. D.

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25

Ozarkar, Malhar. "Design Parameter Identification and Verification for Thermoplastic Inserts." Thesis, Linköpings universitet, Mekanik och hållfasthetslära, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170132.

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Inserts are a crucial part of household and industrial furniture. These small plastic parts which often go unnoticed to the naked eye perform crucial functions like providing a base for the furniture, leveling the furniture, safeguarding the user from edges of the tubes used and providing an aesthetic finish. The inserts have a wing like structure on the exterior which enables them to be inserted and securely held in the tubes. The inserts are assembled into the pipes manually or through machines. The force required to install these inserts in the tube is called a push-in force whereas a pull-

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26

Martinsson, Jesper. "Ultrasonic measurement principles : modeling, identification, and parameter estimation /." Luleå : Luleå University of Technology, 2008. http://epubl.luth.se/1402-1544/2008/37.

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27

Vazirinejad, Shamsedin. "Model identification and parameter estimation of stochastic linear models." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185037.

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It is well known that when the input variables of the linear regression model are subject to noise contamination, the model parameters can not be estimated uniquely. This, in the statistical literature, is referred to as the identifiability problem of the errors-in-variables models. Further, in linear regression there is an explicit assumption of the existence of a single linear relationship. The statistical properties of the errors-in-variables models under the assumption that the noise variances are either known or that they can be estimated are well documented. In many situations, however,

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28

Tang, Yun-chung. "Motor simulation and parameter identification in a reciprocating mechanism." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10312009-020104/.

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29

Kent, W. F. "Machine learning for parameter identification of electric induction machines." Thesis, University of Liverpool, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399178.

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This thesis is concerned with the application of simulated evolution (SE) to the steady-state parameter identification problem of a simulated and real 3-phase induction machine, over the no-load direct-on-line start period. In the case of the simulated 3-phase induction machine, the Kron's two-axis dynamic mathematical model was used to generate the real and simulated system responses where the induction machine parameters remain constant over the entire range of slip. The model was used in the actual value as well as the per-unit system, and the parameters were estimated using both the geneti

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30

Mustata, Radu. "Parameter identification within a porous medium using genetic algorithms." Thesis, University of Leeds, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400722.

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31

Baek, Youn Hyeong. "An experimental review of some aircraft parameter identification techniques." Thesis, Cranfield University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285023.

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32

Abeliuk, R. "Parameter identification in unsaturated flow and solute transport models." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/38208.

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33

KojiÄ, Aleksandar M. 1974. "Global parameter identification and control of nonlinearly parameterized systems." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8330.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2002.<br>Includes bibliographical references (leaves 109-114).<br>Nonlinearly parameterized (NLP) systems are ubiquitous in nature and many fields of science and engineering. Despite the wide and diverse range of applications, there exist relatively few results in control systems literature which exploit the structure of the nonlinear parameterization. A vast majority of presently applicable global control design approaches to systems with NLP, make use of either feedback-linearization, or assume linear pa

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34

Toromanovic, Jasmina. "On Parameter Identification for Better Predictions of Dam Behaviour." Licentiate thesis, Luleå tekniska universitet, Geoteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-68474.

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Numerical modelling is often needed as a tool to predict the behaviour and assess the safety of dam structures. Embankment dam structures analyses are quite complex and potential failures are hazardous. Predictions of dam behaviour by numerical modelling rely on knowledge about the mechanical properties of the materials the dam is constructed with. The materials included in a dam vary significantly because zones in the dam have different functions. In order to conduct reliable modelling, parameter values defining the stress-strain relationship of the materials are needed to be assigned. Obtai

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35

Hammer, Patricia W. "Parameter identification in parabolic partial differential equations using quasilinearization." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/37226.

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We develop a technique for identifying unknown coefficients in parabolic partial differential equations. The identification scheme is based on quasilinearization and is applied to both linear and nonlinear equations where the unknown coefficients may be spatially varying. Our investigation includes derivation, convergence, and numerical testing of the quasilinearization based identification scheme<br>Ph. D.

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36

Chou, I.-Chun. "Parameter estimation and network identification in metabolic pathway systems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26513.

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Thesis (Ph.D)--Biomedical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Voit, Eberhard O.; Committee Member: Borodovsky, Mark; Committee Member: Butera, Robert; Committee Member: Kemp, Melissa; Committee Member: Park, Haesun. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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37

Godasi, Satyam. "Identification and control of non-linear distributed parameter systems /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.

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38

Pearce-Lance, Jacob. "Methods for Parameter Identification in the Mitchell-Schaeffer Model." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39615.

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This thesis focusses on the development and testing of optimization methods for parameter identification in cardiac electrophysiology models. Cardiac electrophysiology models are systems of differential equations representing the evolution of the trans-membrane potential of cardiac cells. The Mitchell-Schaeffer model is chosen for this thesis. The parameters included in the Mitchell-Schaeffer model are optimally adjusted so that the solution of the model has desired properties. Two optimization problems are formulated using least-square functions to identify parameters that match phase duratio

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39

Jen, Tsai Cheng, and 蔡政任. "System Parameter Identification of Arch DamsSystem Parameter Identification of Arch DamsSystem Parameter Identification of Arch DamsSystem Parameter Identification of Arch Dams." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/04266076686149678701.

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碩士<br>國立中興大學<br>土木工程學系<br>93<br>The interaction of dam and reservoir is an important role on studying the dam-water system. The purpose of the paper is to develop the relationship between the frequency of dam-water system and the one of the dam only. From the relationship, we would know that there are several essential parameters to influence the frequency of the dam. For example, the height of water, the mode shape of the dam.In this paper, we set up a model to prove the relationship from this paper by simulating at first. At last, we used the real earthquake response measurements from Fei-Ts

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40

Li, Jyun-Sian, and 李俊賢. "New Algorithms for Robust Parameter Identification and Time-Variant Parameter Identification." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/67780492563357408574.

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博士<br>國立臺灣大學<br>機械工程學研究所<br>100<br>Two subjects of continuous-time parameter identification problems expressed in linear regression form are discussed in this thesis. One is the time-invariant parameter identification while subject to non-stochastic disturbances termed as the robust identification. The other is the time-variant parameter identification. In addition to the measurement stochastic noise, the output signal of a system is usually contaminated with the non-stochastic disturbances which are usually resulted from errors of measure devices, system unmodled dynamics or the process d

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41

Hwang, Chorng Lieh, and 黃崇烈. "Non-linear joints parameter identification." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/15969331483064658344.

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42

Rabinowitz, Basil P. "Adaptive control and parameter identification." Thesis, 2015. http://hdl.handle.net/10539/18046.

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The broad theory of adaptive control is introduced, with m o t i v a t i o n for using such techniques. The two mos t popu l a r techniques, the Model Re f er e n c e A d a ptive C o n t r o l l e r s (MRAC) and the Self Tuning C o n t r o l l e r s (STC) are studied in more d e t a i l . The MRAC and the STC often lead to identical solutions. The c on d i t i o n s for which these two techni q u e s are e q u i v a l e n t are discussed. P a r a m e t e r Adap t a ti o n A l go r i t h m s (PAA) are required by both the MRA a n : the STC. For this reason the PAA is e x a m i ne d in

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43

ZHAO, WEI-HE, and 趙維和. "Parameter identification for load models." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/21018584644538844268.

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44

Green, Kary. "Optimal sensor placement for parameter identification." Thesis, 2007. http://hdl.handle.net/1911/20506.

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This thesis surveys methods for determining sensor locations which maximize the achievable accuracy in parameter estimation of differential equations. The approach considers the placement of sensors as an experimental design problem. The optimal sensor locations are found based on the so-called Fisher Information Matrix. After illustration of the general methodology, a particular algorithm is presented which finds optimal weights associated with a given set of potential sensor locations. Numerical results are provided to show that improvements in the accuracy of parameter estimates can be achi

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45

Lang, Wen-Jung, and 藍文榮. "Dynamic Parameter Identification of Isolation Sysytem." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/97667790897391029212.

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46

Huang, Wen-Kun, and 黃文奎. "Parameter identification of cylindrical Spool restrictor." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/bj38dr.

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碩士<br>中原大學<br>機械工程研究所<br>102<br>In this paper, the experimental method of identifying the throttle throttle rod spring obedience coefficient parameters and discuss the work of the throttle pressure compensated hydrostatic bearing characteristics, experiments using hydrostatic bearing flat bench, by measuring throttle inlet pressure, outlet pressure and flow, using least square error partial derivative equations solved simultaneously to obtain a constant throttle slider displacement factor. Experimental test four restrictor rod, oil pressure test in four out of this circle have measured the thr

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47

Chen, Tzu-Hsiang, and 陳子祥. "Parameter Identification of Variable Zoom Camera." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/10762814197240470807.

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碩士<br>國立成功大學<br>航空太空工程學系碩博士班<br>94<br>In the process of using a digital camera to measure real word objects, the problems we face directly are radial lens distortion, unknown camera model parameters, and gauge of illumination.All those problems will affect the measurement results. When we want to use a digital camera to measure objects, the first step we need to do is to calibrate camera parameters. For an un-calibrated camera computer vision system, it couldn’t measure the real size or even the comparative size of objects. After completing camera calibration, we can obtain the parameters from

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48

Wong, Sze-Chung, and 黃思聰. "Modal Parameter Identification Through Simulated Evolution." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/73178867749938107646.

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碩士<br>國立成功大學<br>航空太空工程學系<br>84<br>In this thesis, modal parameter identification of linear vibrating structure based on optimization approach is studied. A global optimization search algorithm based on the Darwinian Evolutionary Theory is implemented for identification of modal parameters of a linear vibrating structure. The capability of the evolutionary method in locating the global minimum among numerous local minima will be demonst

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49

Ruan, Weidong. "Modeling and parameter identification for rail systems /." 2005. http://wwwlib.umi.com/dissertations/fullcit/3189299.

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詹啟鋒. "Modal Parameter Identification Using Ambient Vibration Data." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/14139585133526994337.

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Abstract (sommario):

碩士<br>國立成功大學<br>航空太空工程學系<br>88<br>Dynamical systems can be characterized by their modal parameters, which include natural frequencies, damping ratios and mode shapes. Identification of system characteristics is usually accomplished using both input and output data from the structural system. In many cases, however, only output measurements are available for structures under ambient conditions. It can be shown that if the input signals can be modeled as white noise the theoretical auto- and cross-correlation functions of structural response have the same mathematical form as free vibration of t

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