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Dissertations / Theses on the topic 'Parameter identification and estimation'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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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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3

Hemakumara, Madu Prasad. "UAV Parameter Estimation with Gaussian Process Approximations." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9414.

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Unmanned Aerial Vehicles (UAVs) provide an alternative to manned aircraft for risk associated missions and applications where sizing constraints require miniaturized flying platforms. UAVs are currently utilised in an array of applications ranging from civilian research to military battlegrounds. A part of the development process for UAVs includes constructing a flight model. This model can be used for modern flight controller design and to develop high fidelity flight simulators. Furthermore, it also has a role in analysing stability, control and handling qualities of the platform. Developing

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4

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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5

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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6

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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Cooper, Matthew. "Bayesian system identification for nonlinear dynamical vehicle models." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/213212/1/Matthew_Cooper_Thesis.pdf.

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This thesis investigates the use of novel Bayesian system identification techniques to estimate unknown parameters in nonlinear vehicle dynamics. In the first part of this thesis, a dual merging particle filter is proposed that accurately estimates non-Gaussian posterior parameter distributions for different vehicle models. In the second part of this thesis, a novel myopic sequential technique is proposed to design informative experiments for estimating the unknown parameters of a real-world robotic vehicle. This myopic technique is extended in the last part of the thesis to incorporate a roll

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8

Chase, Adam Thomas. "Flight Testing Small UAVs for Aerodynamic Parameter Estimation." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1191.

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A flight data acquisition system was developed to aid unmanned vehicle designers in verifying the vehicle's design performance. The system is reconfigurable and allows the designer to choose the correct combination of complexity, risk, and cost for a given flight test. The designer can also reconfigure the system to meet packaging and integration requirements. System functionality, repeatbility, and accuracy was validated by collecting data during multiple flights of a radio-controlled aircraft. Future work includes sensor fusion, thrust prediction methods, stability and control derivative est

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Lau, Wing-yi. "New recursive parameter estimation algorithms in impulsive noise environment with application to frequency estimation and system identification." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37595866.

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10

Pollard, Stephen J. "Recursive parameter identification for estimating and displaying maneuvering vessel path." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FPollard.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, December 2003.<br>Thesis advisor(s): Roberto Cristi, Fotis A. Papoulias. Includes bibliographical references (p. 155). Also available online.

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11

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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12

Anderson, Matthew James Lindsay. "A Methodology for Aerodynamic Parameter Estimation of Tail-Sitting Multi-Rotors." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/18858.

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The aviation paradigm is shifting. Unmanned aerial vehicles (UAVs) are increasingly becoming commonplace in the skies and new aircraft types such as multi-rotors are becoming household items. This change has been possible due to the great advances in sensor technology making it cheaper and easier than ever to develop new configurations and improve performance through aircraft-specific aerodynamic research. Vertical take off and landing (VTOL) is advantageous to UAVs as it allows flight in confined spaces. This capability, however, comes with compromises which reduce the range, speed and payloa

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13

Bhikkaji, Bharath. "Model Reduction and Parameter Estimation for Diffusion Systems." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-4252.

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14

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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15

Kutluay, Umit. "Aerodynamic Parameter Estimation Using Flight Test Data." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613786/index.pdf.

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This doctoral study aims to develop a methodology for use in determining aerodynamic models and parameters from actual flight test data for different types of autonomous flight vehicles. The stepwise regression method and equation error method are utilized for the aerodynamic model identification and parameter estimation. A closed loop aerodynamic parameter estimation approach is also applied in this study which can be used to fine tune the model parameters. Genetic algorithm is used as the optimization kernel for this purpose. In the optimization scheme, an input error cost function is used

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16

Jameson, Pierre-Daniel. "Post-manoeuvre and online parameter estimation for manned and unmanned aircraft." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8058.

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Parameterised analytical models that describe the trimmed inflight behaviour of classical aircraft have been studied and are widely accepted by the flight dynamics community. Therefore, the primary role of aircraft parameter estimation is to quantify the parameter values which make up the models and define the physical relationship of the air vehicle with respect to its local environment. Nevertheless, a priori empirical predictions dependent on aircraft design parameters also exist, and these provide a useful means of generating preliminary values predicting the aircraft behaviour at the desi

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17

Kolansky, Jeremy Joseph. "Real-Time Ground Vehicle Parameter Estimation and System Identification for Improved Stability Controllers." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/47351.

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Vehicle characteristics have a significant impact on handling, stability, and rollover propensity. This research is dedicated to furthering the research in and modeling of vehicle dynamics and parameter estimation. Parameter estimation is a challenging problem. Many different elements play into the stability of a parameter estimation algorithm. The primary trade-off is robustness for accuracy. Lyapunov estimation techniques, for instance, guarantee stability but do not guarantee parameter accuracy. The ability to observe the states of the system, whether by sensors or observers is a key prob

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18

Tallfors, Mats. "Parameter estimation and model based control design of drive train systems." Licentiate thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285.

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19

Jafaridinani, Kian. "Parameter estimation methods based on binary observations - Application to Micro-Electromechanical Systems (MEMS)." Phd thesis, Supélec, 2012. http://tel.archives-ouvertes.fr/tel-00756675.

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While the characteristic dimensions of electronic systems scale down to micro- or nano-world, their performance is greatly influenced. Micro-fabrication process or variations of the operating situation such as temperature, humidity or pressure are usual cause of dispersion. Therefore, it seems essential to co-integrate self-testing or self-adjustment routines for these microdevices. For this feature, most existing system parameter estimation methods are based on the implementation of high-resolution digital measurements of the system's output. Thus, long design time and large silicon areas are

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20

Merchant, Richard W. "Recursive estimation using the bilinear operator with applications to synchronous machine parameter identification /." Title page, contents and abstract only, 1992. http://web4.library.adelaide.edu.au/theses/09PH/09phm5543.pdf.

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21

Özbay, Hitay. "Parameter indentifiability of ARX models via discrete time nonlinear system controllability." Thesis, McGill University, 1987. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66094.

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22

Tuffner, Francis K. "Computationally efficient weighted updating of statistical parameter estimates for time varying signals with application to power system identification." Laramie, Wyo. : University of Wyoming, 2008. http://proquest.umi.com/pqdweb?did=1674094221&sid=4&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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23

Edwards, Nathan W. "System Identification of an Unmanned Tailsitter Aircraft." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/5319.

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The motivation for this research is the need to improve performance of the autonomous flight of a tailsitter UAV. Tailsitter aircraft combine the hovering and vertical take-off and landing capability of a rotorcraft with the long endurance flight capability of a fixed-wing aircraft. The particular aircraft used in this research is the V-Bat, a tailsitter UAV with a conventional wing and the propeller and control surfaces located within a ducted-fan tail assembly. This research focuses on identifying the models and parameters of the V-Bat in hover and level flight as a basis for the design of t

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24

Chambers, Micah Christopher. "Full Brain Blood-Oxygen-Level-Dependent Signal Parameter Estimation Using Particle Filters." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/35143.

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Traditional methods of analyzing functional Magnetic Resonance Images use a linear combination of just a few static regressors. This work demonstrates an alternative approach using a physiologically inspired nonlinear model. By using a particle filter to optimize the model parameters, the computation time is kept below a minute per voxel without requiring a linearization of the noise in the state variables. The activation results show regions similar to those found in Statistical Parametric Mapping; however, there are some notable regions not detected by that technique. Though the parameters s

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25

Schmitt, Andreas Joachim. "Power System Parameter Estimation for Enhanced Grid Stability Assessment in Systems with Renewable Energy Sources." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/83459.

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The modern day power grid is a highly complex system; as such, maintaining stable operations of the grid relies on many factors. Additionally, the increased usage of renewable energy sources significantly complicates matters. Attempts to assess the current stability of the grid make use of several key parameters, however obtaining these parameters to make an assessment has its own challenges. Due to the limited number of measurements and the unavailability of information, it is often difficult to accurately know the current value of these parameters needed for stability assessment. This work a

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26

Hopkins, Mark A. "Pseudo-linear identification: optimal joint parameter and state estimation of linear stochastic MIMO systems." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53941.

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This dissertation presents a new method of simultaneous parameter and state estimation for linear, stochastic, discrete—time, multiple-input, multiple-output (MIMO) (B systems. This new method is called pseudo·Iinear identification (PLID), and extends an earlier method to the more general case where system input and output measurements are corrupted by noise. PLID can be applied to completely observable, completely controllable systems with known structure (i.e., known observability indexes) and unknown parameters. No assumptions on pole and zero locations are required; and no assumptions on r

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27

Fahey, Sean O'Flaherty. "Parameter Estimation of Structural Systems Possessing One or Two Nonlinear Normal Modes." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/29477.

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In this Dissertation, we develop, and provide proof of principle for, parameter identification techniques for structural systems that can be described in terms of one or two nonlinear normal modes. We model the dynamics of these modes by second-order ordinary-differential equations based on the principles of mechanics, past experience, and engineering judgment. We perform a number of separate experiments on a two-mass structure using several different types of excitation. For the linear tests, the theoretical system response is known in closed-form. For the nonlinear test, we use the metho

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28

Guidi, Hernan. "Open and closed-loop model identification and validation." Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-07032009-170311/.

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29

Riahi, Mohamed Hédi. "Identification de paramètres hydrogéologiques dans un milieu poreux." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066741/document.

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On identifie simultanément les coefficients d'emmagasinement et de transmissivité hydraulique dans un écoulement souterrain gouvernent par une équation parabolique linéaire. Ces deux paramètres sont supposés être des fonctions constantes par morceaux en espace. Les inconnues du problème sont non seulement les valeurs de ces coefficients mais aussi la géométrie des zones dans lesquelles ces coefficients sont constants. Le problème est formule comme la minimisation d'une fonction de moindres carres calculant la différence entre les mesures et les quantités correspondantes évaluées avec la valeur

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30

Weaver, Josh. "The Self-Optimizing Inverse Methodology for Material Parameter Identification and Distributed Damage Detection." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1428316985.

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31

Reyland, John M. "Towards Wiener system identification with minimum a priori information." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/1066.

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The ability to construct accurate mathematical models of real systems is an important part of control systems design. A block oriented systems identification approach models the unknown system as interconnected linear and nonlinear blocks. The subject of this thesis is a particular configuration of these blocks referred to as a Wiener model. The Wiener model studied here is a cascade of a one input linear block followed by a nonlinear block which then provides one output. We assume that the signal between the linear and nonlinear block is always unknown, only the Wiener model input and output

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32

Dufourd, Claire Chantal. "Spatio-temporal mathematical models of insect trapping : analysis, parameter estimation and applications to control." Thesis, University of Pretoria, 2016. http://hdl.handle.net/2263/58471.

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This thesis provides a mathematical framework for the development of efficient control strategies that satisfy the charters of Integrated Pest Management (IPM) which aims to maintain pest population at a low impact level. This mathematical framework is based on a dynamical system approach and comprises the construction of mathematical models, their theoretical study, the development of adequate schemes for numerical solutions and reliable procedures for parameter identification. The first output of this thesis is the construction of trap-insect spatio-temporal models formulated via advection-d

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33

Hu, Yiran. "Identification and State Estimation for Linear Parameter Varying Systems with Application to Battery Management System Design." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281368350.

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34

Markusson, Ola. "Model and System Inversion with Applications in Nonlinear System Identification and Control." Doctoral thesis, KTH, Signals, Sensors and Systems, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3287.

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35

Irshad, Yasir. "Some problems of modeling and parameter estimation in continous-time for control and communication." Licentiate thesis, Karlstads universitet, Avdelningen för fysik och elektroteknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-7128.

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Stochastic system identification is of great interest in the areas of control and communication. In stochastic system identification, a model of a dynamic system is determined based on given inputs and received outputs from the system, where stochastic uncertainties are also involved. The scope of the report is to consider continuous-time models used within control and communication and to estimate the model parameters from sampled data with high accuracy in a computational efficient way. Continuous-time models of systems controlled in a networked environment, stochastic closed-loop systems, a

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36

Vincent, Rémy. "Identification passive en acoustique : estimateurs et applications au SHM." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT020/document.

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L’identité de Ward est une relation qui permet d’identifier unmilieu de propagation linéaire dissipatif, c'est-à-dire d'estimer des paramètres qui le caractérisent. Dans les travaux exposés, cette identité est utilisée pour proposer de nouveaux modèles d’observation caractérisant un contexte d’estimation qualifié de passif : les sources qui excitent le système ne sont pas contrôlées par l’utilisateur. La théorie de l’estimation/détection dans ce contexte est étudiée et des analyses de performances sont menées sur divers estimateurs. La portée applicative des méthodes proposées concerne le doma

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37

Schlöder, Johannes P. "Numerische Methoden zur Behandlung hochdimensionaler Aufgaben der Parameteridentifizierung." Bonn : [s.n.], 1987. http://catalog.hathitrust.org/api/volumes/oclc/18814825.html.

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38

Rasuli, Abdol Rasul. "Dynamic modeling, parameter identification, payload estimation, and non-contact arm geometry sensing of the mining cable shovel." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43648.

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This thesis presents the application of the least squares estimation technique in identification of the cable shovel parameters and monitoring its payload. Both detailed and simplified dynamic models of the cable shovel are derived by modeling the DC motors and analyzing such nonlinear effects as inertia, Coriolis, centripetal, and friction. Mathematical methods, including the interactive Newton-Euler technique, have been used to obtain the kinematic and dynamic equations of the shovel, and establish the relationship between the shovel parameters and the payload inside the bucket. The cable sh

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39

Senkel, Luise [Verfasser]. "Sliding Mode Techniques for Robust Control, State Estimation and Parameter Identification of Uncertain Dynamic Systems / Luise Senkel." Aachen : Shaker, 2018. http://d-nb.info/1159833230/34.

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40

Grymin, David J. "Two-Step System Identification and Primitive-Based Motion Planning for Control of Small Unmanned Aerial Vehicles." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/24520.

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This dissertation addresses motion planning, modeling, and feedback control for autonomous vehicle systems. A hierarchical approach for motion planning and control of nonlinear systems operating in obstacle environments is presented. To reduce computation time during the motion planning process, dynamically feasible trajectories are generated in real-time through concatenation of pre-specified motion primitives. The motion planning task is posed as a search over a directed graph, and the applicability of informed graph search techniques is investigated. Specifically, a locally greedy algori

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41

Larsson, Erik. "Identification of stochastic continuous-time systems : algorithms, irregular sampling and Cramér-Rao bounds /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3944.

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Irshad, Yasir. "On some continuous-time modeling and estimation problems for control and communication." Doctoral thesis, Karlstads universitet, Institutionen för ingenjörsvetenskap och fysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-26129.

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The scope of the thesis is to estimate the parameters of continuous-time models used within control and communication from sampled data with high accuracy and in a computationally efficient way.In the thesis, continuous-time models of systems controlled in a networked environment, errors-in-variables systems, stochastic closed-loop systems, and wireless channels are considered. The parameters of a transfer function based model for the process in a networked control system are estimated by a covariance function based approach relying upon the second order statistical properties of input and out

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Nainer, Carlo. "In-Orbit Data Driven Parameter Estimation for Attitude Control of Satellites." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0058.

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Cette thèse porte sur la détermination des paramètres du modèle dynamique d’un satellite pour son contrôle à l’aide de la théorie de l’identification des systèmes. Plusieurs algorithmes d’estimation paramétrique sont développés et adaptés à différentes configurations de mesures de données (gyroscope ou star tracker). Ces algorithmes permettent d’estimer la matrice d’inertie du satellite ainsi que l’alignement des actionneurs à partir des données de télémétrie. Pour réaliser cette estimation, la méthode de variable instrumentale est privilégiée. Des filtres sont élaborés afin d’améliorer signif

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Jarny, Yvon. "Identification de modeles non-lineaires de systemes thermiques." Nantes, 1987. http://www.theses.fr/1987NANT2048.

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Utilisation d'une methode de modelisation due a g. Chavent, consistant a minimiser un critere de moindres carres de sortie. Etude de 3 modeles comportant des parametres variables en fonction de l'etat du systeme ou du temps. Le probleme d'identification est formule comme un probleme d'optimatisation et resolu numeriquement par un algorithme de descente

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Verrax, Paul. "Transient-based fault identification algorithm for the protection of meshed HVDC grids." Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG028.

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La protection des réseaux maillés HVDC se heurte à différents verrous parmi lesquels l’identification fiable et rapide des défauts affectant les lignes du réseau. Cette thèse propose un concept d’algorithme d’identification basé sur l’estimation des paramètres du défaut.Un modèle analytique décrivant l’évolution de la tension et du courant dans la ligne en défaut est développé. Le modèle obtenu dépend explicitement des paramètres du défaut (e.g. la distance et la résistance du défaut). Lorsqu’un défaut est détecté, le relais protégeant la ligne considérée estime les paramètres du défaut, a pri

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Baby, Arun Paul. "Comparison of Modal Parameter Estimation using State Space Methods (N4SID) and the Unified Matrix Polynomial Approach." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613731964598438.

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Murray-Smith, David J. "Methods of system identification, parameter estimation and optimisation applied to problems of modelling and control in engineering and physiology." Thesis, University of Glasgow, 2009. http://theses.gla.ac.uk/1170/.

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Mathematical and computer-based models provide the foundation of most methods of engineering design. They are recognised as being especially important in the development of integrated dynamic systems, such as “control-configured” aircraft or in complex robotics applications. These models usually involve combinations of linear or nonlinear ordinary differential equations or difference equations, partial differential equations and algebraic equations. In some cases models may be based on differential algebraic equations. Dynamic models are also important in many other fields of research, includi

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Debonos, Andreas A. "Estimation of non-linear ship roll parameters using stochastic identification techniques." Thesis, University of Sussex, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295784.

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Puerto, Acosta Jorge Andres 1979. "Aplicação de técnicas de identificação paramétricas e não paramétricas em uma bancada de vibração torcional." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265970.

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Orientador: Juan Francisco Camino<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-24T10:56:37Z (GMT). No. of bitstreams: 1 PuertoAcosta_JorgeAndres_M.pdf: 7253811 bytes, checksum: c3adc61ec5688b2b451d7b3b0643522e (MD5) Previous issue date: 2013<br>Resumo: Esta dissertação apresenta a aplicação de técnicas de identificação paramétricas e não paramétricas para obter o modelo linear invariante no tempo de uma bancada de vibração torcional eletromecânica. A bancada é composta por um servomotor e um disco acop

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Lei, Yu. "Functional Regression and Adaptive Control." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/29113.

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Abstract:

The author proposes a novel functional regression method for parameter estimation and adaptive control in this dissertation. In the functional regression method, the regressors and a signal which contains the information of the unknown parameters are either determined from raw measurements or calculated as the functions of the measurements. The novel feature of the method is that the algorithm maps the regressors to the functionals which are represented in terms of customized test functions. The functionals are updated continuously by the evolution laws, and only an infinite number of variable

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