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Relevant bibliographies by topics / Recursive identification / Dissertations / Theses

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Dissertations / Theses on the topic 'Recursive identification'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Chow, Po-Chuan. "Recursive nonlinear identification of Hammerstein-type systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054758543.

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Oliveira, Tiago Miguel Brites. "Recursive neuro fuzzy techniques for online identification and control." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10552.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores<br>The main goal of this thesis will be focused on developing an adaptative closed loop control solution, using fuzzy methodologies. A positive theoretical and experimental contribution, regarding modelling and control of fuzzy and neuro fuzzy systems, is expected to be achieved. Proposed non-linear identification solution will use for modelling and control, a recurrent neuro fuzzy architecture. Regarding model solution, a state space approach will be considered during fuzzy consequent local model

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3

Brus, Linda. "Recursive black-box identification of nonlinear state-space ODE models." Licentiate thesis, Uppsala : Department of Information Technology, Uppsala University, 2006. http://www.it.uu.se/research/publications/lic/2006-001/.

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Ng, C. N. "Recursive identification, estimation and forecasting of non-stationary time series." Thesis, Lancaster University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.383583.

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5

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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6

Dai, Liang. "Identification using Convexification and Recursion." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280422.

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System identification studies how to construct mathematical models for dynamical systems from the input and output data, which finds applications in many scenarios, such as predicting future output of the system or building model based controllers for regulating the output the system. Among many other methods, convex optimization is becoming an increasingly useful tool for solving system identification problems. The reason is that many identification problems can be formulated as, or transformed into convex optimization problems. This transformation is commonly referred to as the convexificati

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Schaffer, Scott E. (Scott Erwin). "The effect of a gap nonlinearity on recursive parameter identification algorithms." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/34039.

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Linden, J. G. "Algorithms for recursive Frisch scheme identification and errors-in-variables filtering." Thesis, Coventry University, 2008. http://curve.coventry.ac.uk/open/items/a9c4fe1c-08ba-b76f-4882-33b909a83abd/1.

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This thesis deals with the development of algorithms for recursive estimation within the errors-in-variables framework. Within this context attention is focused on two major threads of research: Recursive system identification based on the Frisch scheme and the extension and application of errors-in-variables Kalman filtering techniques. In the first thread, recursive algorithms for the approximate update of the estimates obtained via the Frisch scheme, which makes use of the Yule-Walker model selection criterion, are developed for the case of white measurement noise. Gradient-based techniques

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9

MBOUD, MAMADOU. "Identification adaptative par structures predictive et recursive : application a l'annulation d'echo acoustique." Paris 11, 1992. http://www.theses.fr/1992PA112448.

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Cette etude se place dans le contexte de l'identification adaptative, en temps reel, de reponse impulsionnelle longue, comme c'est le cas en annulation d'echo acoustique. Dans la premiere partie, le systeme a identifier est modelise par un filtre transverse. Une amelioration de la vitesse de convergence de l'algorithme lms est obtenue par une decorrelation du signal d'entree, a l'aide d'une prediction adaptative. Deux structures de pre-blanchiment sont issues de ce procede. Leur originalite repose sur la preservation des relations entree-sortie du systeme. Dans la deuxieme partie, le systeme a

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10

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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11

Bathelt, Andreas Verfasser], and Dirk [Akademischer Betreuer] [Söffker. "Recursive subspace identification in a Hilbert Space framework / Andreas Bathelt ; Betreuer: Dirk Söffker." Duisburg, 2019. http://d-nb.info/1191694038/34.

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Samaan, Malak Anees. "Toward faster and more accurate star sensors using recursive centroiding and star identification." Texas A&M University, 2003. http://hdl.handle.net/1969/433.

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13

Sanner, Robert M. (Robert Michael). "Stable adaptive control and recursive identification of nonlinear systems using radial Gaussian networks." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12711.

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Bathelt, Andreas [Verfasser], and Dirk [Akademischer Betreuer] Söffker. "Recursive subspace identification in a Hilbert Space framework / Andreas Bathelt ; Betreuer: Dirk Söffker." Duisburg, 2019. http://d-nb.info/1191694038/34.

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15

Madkour, A. A. M., M. Alamgir Hossain, Keshav P. Dahal, and H. Yu. "Real-time system identification using intelligent algorithms." IEEE, 2004. http://hdl.handle.net/10454/2471.

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This research presents an investigation into the development of real time system identification using intelligent algorithms. A simulation platform of a flexible beam vibration using finite difference (FD) method is used to demonstrate the real time capabilities of the identification algorithms. A number of approaches and algorithms for on line system identifications are explored and evaluated to demonstrate the merits of the algorithms for real time implementation. These approaches include identification using (a) traditional recursive least square (RLS) filter, (b) Genetic Algorith

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16

Srinivasa, Manjunath Cheekur. "Nonlinear Structure Identification of Single Degree of Freedom System Using NARMAX Algorithm." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504872945338834.

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McGlove, Joseph Phillip. "Practical applications and theoretical developments of novel recursive alorithms for the identification of differential pressure cells." Thesis, University of Strathclyde, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417329.

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18

Mistry, Dipesh. "Recursive partitioning based approaches for low back pain subgroup identification in individual patient data meta-analyses." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/64032/.

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This thesis presents two novel approaches for performing subgroup analyses or identifying subgroups in an individual patient data (IPD) meta-analyses setting. The work contained in this thesis originated from an important research priority in the area of low back pain (LBP); identifying subgroups that most (or least) benefit from treatment. Typically, a subgroup is evaluated by applying a statistical test for interaction between a baseline characteristic and treatment. A systematic review found that subgroup analyses in the area of LBP are severely underpowered and are of a rather poor quality

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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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20

Brus, Linda. "Nonlinear Identification and Control with Solar Energy Applications." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8594.

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Tayamon, Soma. "Nonlinear System Identification and Control Applied to Selective Catalytic Reduction Systems." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-229148.

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The stringent regulations of emission levels from heavy duty vehicles create a demand for new methods for reducing harmful emissions from diesel engines. This thesis deals with the modelling of the nitrogen oxide (NOx) emissions from heavy duty vehicles using a selective catalyst as an aftertreatment system, utilising ammonia (NH3) for its reduction. The process of the selective catalytic reduction (SCR) is nonlinear, since the result of the chemical reactions involved depends on the load operating point and the temperature. The purpose of this thesis is to investigate different methods for no

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22

Souflas, Ioannis. "Qualitative Adaptive Identification for Powertrain Systems. Powertrain Dynamic Modelling and Adaptive Identification Algorithms with Identifiability Analysis for Real-Time Monitoring and Detectability Assessment of Physical and Semi-Physical System Parameters." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14427.

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A complete chain of analysis and synthesis system identification tools for detectability assessment and adaptive identification of parameters with physical interpretation that can be found commonly in control-oriented powertrain models is presented. This research is motivated from the fact that future powertrain control and monitoring systems will depend increasingly on physically oriented system models to reduce the complexity of existing control strategies and open the road to new environmentally friendly technologies. At the outset of this study a physics-based control-oriented dynamic mode

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23

Jägerback, Peter. "En indirekt metod för adaptiv reglering av en helikopter." Thesis, Linköping University, Linköping University, The Institute of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-17637.

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<p>When a helicopter is flying, the dynamics vary depending on, for example, speed and position. Hence, a time-invariant linear model cannot describe its properties under all flight conditions. It is therefore desirable to update the linear helicopter model continuously during the flight. In this thesis, two different recursive estimation methods are presented, LMS (Least Mean Square) and adaptation with a Kalman filter. The main purpose of the system estimation is to get a model which can be used for feedback control. In this report, the estimated model will be used to create a LQ controller

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Doubleday, Kevin. "Generation of Individualized Treatment Decision Tree Algorithm with Application to Randomized Control Trials and Electronic Medical Record Data." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613559.

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With new treatments and novel technology available, personalized medicine has become a key topic in the new era of healthcare. Traditional statistical methods for personalized medicine and subgroup identification primarily focus on single treatment or two arm randomized control trials (RCTs). With restricted inclusion and exclusion criteria, data from RCTs may not reflect real world treatment effectiveness. However, electronic medical records (EMR) offers an alternative venue. In this paper, we propose a general framework to identify individualized treatment rule (ITR), which connects the subg

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25

GRUNEWALD, CARLOS AUGUSTO. "A RECURSIVE PROCEDURE FOR THE FACE AND FCCE ESTIMATION IN THE IDENTIFICATION OF THE BOX & JENKINS AND TIAO & BOX MODELS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1985. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14445@1.

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ELETROBRAS - CENTRAIS ELÉTRICAS BRASILEIRAS S. A.<br>O objetivo principal deste trabalho é discutir a implementação de um algoritmo recursivo para a estimação da Função de Auto-Correlação Extendida (FACE) para séries univariadas e da Função de Correlação Cruzada Extendida (FCCE) para vetores de séries temporais. Um programa de computador, escrito na Linguagem PL/I foi desenvolvido, utilizando o algoritmo recursivo mencionado para o cálculo somente da FACE. A utilização deste procedimento permitiu um aumento nas dimensões da matriz FACE e, como conseqüência, a identificação de modelos sazonais

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26

Bodin, Camilla. "Automatic Flight Maneuver Identification Using Machine Learning Methods." Thesis, Linköpings universitet, Reglerteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165844.

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This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. The suggested approach succeeded in generating binary classifiers and multiclass classifiers that identified six flight maneuvers of different complexity from real flight test data. The binary classifiers solved the problem of identifying one maneuver from flight tes

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27

Vau, Bernard. "Algorithmes d’identification par régression pseudo-linéaire avec prédicteurs paramétrisés sur des bases généralisées de fonctions de transfert orthonormales." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLN062.

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Cette thèse porte sur l’identification des systèmes linéaires stationnaires, représentés par des fonctions de transfert en temps discret. Pour un ordre donné, contrairement aux méthodes d'identification visant explicitement à minimiser la variance de l'erreur de prédiction, les algorithmes basés sur la régression pseudo-linéaire induisent des modèles dont la distribution des biais est dépendante de la paramétrisation du prédicteur. Ceci a été démontré grâce au concept innovant d'erreur de prédiction équivalente, signal en général non mesurable, dont la variance est effectivement minimisée dans

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28

Vaňková, Tereza. "Adaptivní regulátory s principy umělé inteligence a jejich porovnání s klasickými metodami identifikace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218930.

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Master’s thesis is focused on the adaptive controllers. The first theoretic part mainly describes the parametric identification, which belongs to the most important part of the adaptive controller’s structure. Classical identification methods (the recursive least squares methods) are firstly mentioned and afterwards the identification methods based on the neural network (the Marquardt-Levenberg algorithm and the new identification algorithm NIA inspired by the neural networks) are described. At the conclusion of the theoretic part there are mentioned the algorithm of the adaptive controller’s

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29

Djaneye-Boundjou, Ouboti Seydou Eyanaa. "Discrete-time Concurrent Learning for System Identification and Applications: Leveraging Memory Usage for Good Learning." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton151298579862899.

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Silva, Paulo César da. "PI-MQR adaptativo aplicado a um motor de indução trifásico utilizando a plataforma DSPACE1103." Universidade do Estado de Santa Catarina, 2015. http://tede.udesc.br/handle/handle/1879.

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Made available in DSpace on 2016-12-12T17:38:34Z (GMT). No. of bitstreams: 1 Paulo Cesar da Silva.pdf: 5331875 bytes, checksum: adf5bf8880e8e89421a2fd553c966530 (MD5) Previous issue date: 2015-07-10<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>The electrical parameters of three-phase induction motors vary according to their operating point, with the temperature and also with the natural machine degradation. Since the design regulators are typically performed based on linear and simplified equations of the machine, the parametric variation can cause unwanted responses, si

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Rusch, Thomas, Ilro Lee, Kurt Hornik, Wolfgang Jank, and Achim Zeileis. "Influencing Elections with Statistics: Targeting Voters with Logistic Regression Trees." WU Vienna University of Economics and Business, 2012. http://epub.wu.ac.at/3458/1/Report117.pdf.

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Political campaigning has become a multi-million dollar business. A substantial proportion of a campaign's budget is spent on voter mobilization, i.e., on identifying and influencing as many people as possible to vote. Based on data, campaigns use statistical tools to provide a basis for deciding who to target. While the data available is usually rich, campaigns have traditionally relied on a rather limited selection of information, often including only previous voting behavior and one or two demographical variables. Statistical procedures that are currently in use include logistic regress

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Burlak, Vladimír. "Adaptivní optimální regulátory s principy umělé inteligence v prostředí MATLAB - B&R." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218358.

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This master's thesis considers adaptive optimal controllers. It shows principles of optimal controllers, recursive identification using least-mean squares method and identification based on neural network.

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Khov, Makara. "Surveillance et diagnostic des machines synchrones à aimants permanents : détection des courts-circuits par suivi paramétrique." Thesis, Toulouse, INPT, 2009. http://www.theses.fr/2009INPT060H/document.

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Ce travail de thèse traite du problème de surveillance en ligne de défaillances électriques dans les entrainements électriques à base de machines synchrones à aimants permanents (MSAP) par une méthode de suivi paramétrique. Les défauts de court-circuit entre spires au stator sont souvent critiques et doivent être détectés au plus tôt avec un bon taux de confiance afin d’informer un système superviseur de la présence d’une défaillance pour limiter les risques encourues par l’environnement matériel et humain situé autour de la machine en défaut. La méthode que nous proposons de mettre en œuvre p

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Dokoupil, Jakub. "Rozšířená kvadraticky optimální identifikace a filtrace." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-233562.

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Simultaneous evaluation of the whole set of the model parameters of different orders together with an ability to track unmodeled dynamics are desired features in the tasks of parameter estimation. A technique handling with the factors produced by an augmented covariance (ACM) or information (AIM) matrices is considered to be an appropriate tool for designing multiple model estimation. This is where the name augmented identification (AI) by using the least-squares method was taken. The method AI attains numerical stability of the calculation of the conventional least squares method while in the

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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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Faltus, Ivo. "Adaptivní regulátory pro systémy s dopravním zpožděním a jejich porovnání s klasickými pevně nastavenými regulátory." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-219933.

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Master thesis is focused on the philosophy of design adaptive controller. In the theoretic part are described parts of the adaptive controller, which belongs parts as online identification by recursive least-squares method and PSD controller, which can set its parameters according to identified system (use Z-N method). The part of control system with transport delay is situated at the conclusion of the theoretic part, there are focused on Smith predictor. Practical part is focused on verification of all algorithms, which was performed on models and real systems.

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Krykorka, Daniel. "Adaptivní regulátory pro systémy s dopravním zpožděním a jejich porovnání s klasickými pevně nastavenými parametry regulátorů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-221004.

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Master thesis is focused on the philosophy of design adaptive controller. In the theoretic part are described parts of the adaptive controller, which belongs parts as online identification by recursive least-squares method and PSD controller, which can set its parameters according to identified system (use Z-N method). The part of control system with transport delay is situated at the conclusion of the theoretic part, there are focused on Smith predictor. Practical part is focused on verification of all algorithms, which was performed on models and real systems.

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38

Mendes, Ellon Paiva. "Identifica??o em tempo real de modelo din?mico de rob? m?vel com acionamento diferencial e zona morta." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15387.

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Made available in DSpace on 2014-12-17T14:55:56Z (GMT). No. of bitstreams: 1 EllonPM_DISSERT.pdf: 1231242 bytes, checksum: 49456bef5c0d0bfdc5bf49d689568b60 (MD5) Previous issue date: 2012-01-27<br>Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico<br>Several mobile robots show non-linear behavior, mainly due friction phenomena between the mechanical parts of the robot or between the robot and the ground. Linear models are efficient in some cases, but it is necessary take the robot non-linearity in consideration when precise displacement and positioning are desired. In this work a

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Costa, Bruno Sielly Jales. "Detec??o e diagn?stico de falhas n?o-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo." Universidade Federal do Rio Grande do Norte, 2014. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18577.

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Made available in DSpace on 2015-03-03T15:08:47Z (GMT). No. of bitstreams: 1 BrunoSJC_TESE.pdf: 2605632 bytes, checksum: cc7fdbd9d8d7dfe3adac23f17fab1ae2 (MD5) Previous issue date: 2014-05-13<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concep

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Ishak, Dany. "La conception d'un système ultrasonore passif couche mince pour l'évaluation de l'état vibratoire des cordes vocales." Thesis, Valenciennes, 2017. http://www.theses.fr/2017VALE0043/document.

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Dans ce travail, une approche de reconnaissance de l’orateur en utilisant un microphone de contact est développée et présentée. L'élément passif de contact est construit à partir d'un matériau piézoélectrique. La position du transducteur piézoélectrique sur le cou de l'individu peut affecter grandement la qualité du signal recueilli et par conséquent les informations qui en sont extraites. Ainsi, le milieu multicouche dans lequel les vibrations des cordes vocales se propagent avant d'être détectées par le transducteur est modélisé. Le meilleur emplacement sur le cou de l’individu pour attacher

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Vávra, Pavel. "Průmyslový regulátor PID s autotunerem a vizualizací." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218359.

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This thesis deals with implementation of industrial used controlling block into Power Panel equipment of B&R in integrated development environment Automation Studio 3.0.71. It is PID controller with autotuner and visualization, which allowed bumpless transfer among controlling algorithms and manual control. PID and I-PD controllers with filtering of derivative action and dynamic antiwindup were implemented. Parameters of PID controller is possible to tune with the aid of ultimate gain and ultimate period according rules of Ziegler-Nichols. Ultimate parameters of controlled plant is possible to

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42

Samek, Martin. "Adaptivní optimální regulátory s principy umělé inteligence v prostředí MATLAB - B&R." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218211.

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Master’s thesis describes adaptive optimal controller design and it’s settings. Identification with principles of artificial intelligence and recursive least squares identification with exponential and directional forgetting are compared separately and as part of controller. Adaptive optimal controller is tested on physical model and compared with solidly adjusted PSD controller. Possibilities of implementation of adaptive optimal controller into programmable logic controller B&R are show and tested.

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Matys, Libor. "Prediktivní regulátory s principy umělé inteligence v prostředí MATLAB - B&R." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217557.

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Master’s thesis deals with problems of predictive control especially Model (Based) Predictive Control (MBPC or MPC). Identifications methods are compared in the first part. Recursive least mean squares algorithm is compared with identification methods based on neural networks. Next parts deal with predictive control. There is described creation MPC with summing element and adaptive MPC. There is also compared fixed setting PSD controller with MPC. Responses on disturbance and changes of parameters of controlled plant are compared. Comparing is made on simulation models in MATLAB/Simulink and o

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Mrázek, Michal. "Adaptivní optimální regulátory s principy umělé inteligence v prostředí MATLAB - B&R." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217556.

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Master’s thesis describes adaptive optimal controller design which change parameters of algorithm based on the system information regard for optimal criterion. Generally, the optimal controller solves the problem of minimum states vector. Problems of desired value and steady-state error are solved by variation in optimization algorithm.

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Dittrich, Petr. "Odhad Letových Parametrů Malého Letounu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-412582.

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Tato práce je zaměřena na odhad letových parametrů malého letounu, konkrétně letounu Evektor SportStar RTC. Pro odhad letových parametrů jsou použity metody "Equation Error Method", "Output Error Method" a metody rekurzivních nejmenších čtverců. Práce je zaměřena na zkoumání charakteristik aerodynamických parametrů podélného pohybu a ověření, zda takto odhadnuté letové parametry odpovídají naměřeným datům a tudíž vytvářejí předpoklad pro realizaci dostatečně přesného modelu letadla. Odhadnuté letové parametry jsou dále porovnávány s a-priorními hodnotami získanými s využitím programů Tornado,

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46

"Identification and filtering--optimal recursive maximum likelihood approach." Laboratory for Information and Decision Systems, Massachusetts Institute of Technology], 1986. http://hdl.handle.net/1721.1/2945.

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47

Shieh, Jyh-Nan, and 謝志男. "Recursive System Identification and Its Applications to Control." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/95160393813967175322.

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碩士<br>國立高雄第一科技大學<br>機械與自動化工程系<br>89<br>In this thesis, an on-line moving identification algorithm for continuous-time systems is developed. Based on the recursive algorithm, the computation is simple and straightforward. Besides, in this proposed identification algorithm, the observed input-output data can be directly used to estimate the system parameters, thus both the computer memory and the computing time can be saved a lot. From the moving identification algorithm, a linear moving model can be obtained to represent the control systems. The on-line optimal control algorithm is also develop

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Huang, Ren-Tzong, and 黃仁宗. "Recursive system identification applied to building seismic records." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/52035374145576738970.

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Fan, Po-Wen, and 樊博文. "Recursive identification algorithm of linear MIMO dynamic systems." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/03065869427323287176.

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碩士<br>國立交通大學<br>控制工程系<br>82<br>The main goal of this thesis is to develop a recursive (on- line) identification algorithm for linear multivariable dynamic systems. Basically, procedures for recursive least-squares estimation are developed for a multi-input single-output (MISO) system. For a multi-input multi-output (MIMO) system, modeling algorithm is accomplished by first identifying the MISO subsystems associated with each output of the MIMO system and then by minimal realization. Since t

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Fan, Bo Wen, and 樊博文. "Recursive identification algorithm of linear MIMO dynamic systems." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/32948448292240714102.

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