Дисертації з теми "Dynamic system identification"
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Wester, Stefan. "Dynamic system identification of a strainfield." Thesis, KTH, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105153.
Повний текст джерелаDeng, Chuang. "System identification in dynamic positron emission tomography /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?ECED%202008%20DENG.
Повний текст джерелаSinghavilai, Thamvarit. "Identification of electric power system dynamic equivalent." Thesis, University of Strathclyde, 2011. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=15647.
Повний текст джерелаPeng, Tian. "Structural system identification by dynamic observability technique." Doctoral thesis, Universitat Politècnica de Catalunya, 2021. http://hdl.handle.net/10803/672173.
Повний текст джерелаLa identificación del sistema estructural puede clasificarse como estático y dinámico según el tipo de excitación. Recientemente, se ha propuesto y analizado SSI mediante el Método de Observabilidad (OM) utilizando medidas experimentales de pruebas estáticas para abordar la observabilidad de los parámetros estimados. Este enfoque matemático se ha utilizado en otros campos como la hidráulica, la electricidad y las redes de energía o transporte. Por lo general, el comportamiento de las estructuras de ingeniería se puede identificar de acuerdo con características dinámicas como formas modales, frecuencias naturales y amortiguamiento. Sin embargo, hasta la fecha, no se han propuesto análisis de SSI por el método de observabilidad utilizando información dinámica. Esta tesis desarrolla el Método de Observabilidad Dinámico usando masas, frecuencias propias y modos de vibración para identificar los parámetros mecánicos de los elementos de una estructura. A tal fin, se desarrollan tres líneas de trabajo. En primer lugar, se propone la primera aplicación de técnicas de observabilidad restringida para la estimación paramétrica de estructuras utilizando información dinámica como frecuencias y modos de vibración. Se introducen nuevos algoritmos basados en la ecuación dinámica de valores propios. Se utilizan dos ejemplos paso a paso para ilustrar su l funcionamiento. Se obtienen con éxito expresiones paramétricas para las variables observadas, lo que permite estudiar la sensibilidad de cada una de las variables en el problema y la distribución del error, lo cual es una ventaja respecto a las técnicas SSI no paramétricas. Para la validación de esta nueva aplicación se utiliza una estructura compleja, cuyas propiedades estructurales se pueden obtener satisfactoriamente en el análisis total o local, y los resultados muestran que el conjunto de medidas requerido es menor que en el caso del análisis estático. Los capítulos 4 y 5 son las aplicaciones de COM para subsanar las deficiencias de la investigación actual, como la estrategia óptima de SHM + SSI y la cuantificación de la incertidumbre. En segundo lugar, se discute el papel que juega la estrategia SHM y el análisis SSI basado en el Método de Observabilidad Restringido (COM), con el objetivo reducir el error de estimación. Se propone una herramienta de decisión de aprendizaje automático para ayudar a construir la mejor estrategia combinada de SHM y SSI que puede resultar en estimaciones más precisas de las propiedades estructurales. Para ello, se utiliza la combinación de algoritmo COM dinámico y el método de los árboles de decisión por primera vez. Los árboles de decisión se presentan, en primer lugar, como una herramienta útil para investigar la influencia de las variables (tipología estructural del puente, longitud del vano, conjunto de medidas experimentales y pesos en la función objetivo) involucradas en el proceso SHM + SSI con el objetivo de minimizar el error en la identificación de la estructura. La verificación del método con un puente real con diferentes niveles de daño muestra que el método es robusto incluso para un nivel de daño importante, resultando en la estrategia SHM + SSI que arroja la estimación más precisa. Por último, es necesario un análisis de cuantificación de la incertidumbre (UQ) para evaluar el efecto de las incertidumbres sobre los parámetros estimados y proporcionar una forma de evaluar las incertidumbres en los parámetros identificados. Hay una gran cantidad de enfoques de UQ en ciencia e ingeniería. En primer lugar, se identifica que el Método de Observabilidad Restringido (COM) dinámico propuesto puede compensar algunas de las deficiencias de los métodos existentes. Posteriormente, el COM se utiliza para analizar un puente real. Se compara el resultado con un método existente basado, demostrando su aplicabilidad y correcto desempeño mediante la aplicación a una viga de hormigón armado. Además, se obtiene como resultado que el mejor conjunto de puntos de medición experimental dependerá de la incertidumbre epistémica incorporada en el modelo. Dado que la incertidumbre epistémica se puede eliminar a medida que aumenta el conocimiento de la estructura, la ubicación óptima de los sensores debe lograrse considerando no sólo la precisión de los mismos, sino también los modos de vibración de la estructura.
Stiles, Peter A. "Improvement of structural dynamic models via system identification." Thesis, Virginia Tech, 1988. http://hdl.handle.net/10919/44086.
Повний текст джерелаMaster of Science
Ge, Ma. "Structural damage detection and identification using system dynamic parameters." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2005. http://wwwlib.umi.com/cr/syr/main.
Повний текст джерелаMao, Lei. "Frequency-based structural damage identification and dynamic system characterisation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/7945.
Повний текст джерелаMcCormack, Anthony Sean. "The design of periodic excitations for dynamic system identification." Thesis, University of Warwick, 1995. http://wrap.warwick.ac.uk/3671/.
Повний текст джерелаSzabo, Andrew P. "System Identification and Model-Based Control of Quadcopter UAVs." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1553197265058507.
Повний текст джерелаZaidi, Salman [Verfasser]. "System Identification of Stochastic Nonlinear Dynamic Systems using Takagi-Sugeno Fuzzy Models / Salman Zaidi." Kassel : Kassel University Press, 2019. http://d-nb.info/118450279X/34.
Повний текст джерелаMartinez-Flores, Rene. "DAMAGE ASSESSMENT POTENTIAL OF A NOVEL SYSTEM IDENTIFICATION TECHNIQUE - EXPERIMENTAL VERIFICATION." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1028%5F1%5Fm.pdf&type=application/pdf.
Повний текст джерелаFeng, Xiaodan Selina. "Dynamic equivalencing of distribution network with embedded generation." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6208.
Повний текст джерелаCANTERA, JOSE MARIA CALVO. "DETECTION AND IDENTIFICATION OF ANOMALIES IN POWER SYSTEM DYNAMIC STATE ESTIMATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1987. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=9891@1.
Повний текст джерелаEste trabalho apresenta uma comparação entre o desempenho dos estimadores dinâmicos e rastreador, em sistemas de potência operando sob condições quase-estacionárias, considerando suas características de previsão e filtragem. A partir desta comparação, propõe-se um estimador dinâmico que incorpora as principais vantagens dos estimadores previamente mencionados. Além disso, apresenta-se um novo esquema de detecção e identificação de anormalidades (erros grosseiros nas medidas, mudanças brusca no ponto de operação do sistema e erros na configuração da rede), esquema este apropriadamente construído para algoritmos de estimação dinâmica. Resultados numéricos ilustram o desempenho deste novo algoritmo sob diferentes condições operativas.
This work presents a comparison between the performance of dynamic and tracking estimators, in power systems operating under quasi-static conditions, concerning their characteristics of forecasting and filtering. From this comparison, a new dynamic estimator which incorporates the main advantages of the previous estimators is proposed. Also, a new scheme of detection and identification of anomalies (gross errors in the measurements, sudden changes in the system operating point and errors in the network configuration) is presented. This scheme is properly built for dynamic algorithms. Numerical results showing the performance of the new algorithm under different operational conditions are discussed.
Benedetti, Lorenzo. "Substructuring approache in state space models for dynamic system parameters identification." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amslaurea.unibo.it/2325/.
Повний текст джерелаYang, Yang. "Two-dimensional dynamic analysis of functionally graded structures by using meshfree boundary-domain integral equation method." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335354.
Повний текст джерелаLyubchyk, Leonid, and Galina Grinberg. "Inverse Dynamic Models in Chaotic Systems Identification and Control Problems." Thesis, Ternopil National Economic University, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36824.
Повний текст джерелаCiccone, Francesco. "Dynamic system model identification of inertial sensors by means of neural networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21548/.
Повний текст джерелаArcila, Ana María Molina. "High resolution Fabry-Pérot interferometer - dynamic system modeling and nanopositioning control system design." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-23122014-155735/.
Повний текст джерелаEste trabalho apresenta o projeto de pesquisa para obtenção do título de Mestre em Engenharia Elétrica, área de concentração de engenharia de sistemas, da Escola Politécnica da Universidade de São Paulo. O objetivo principal deste projeto foi desenvolver um controlador de nanoposicionamento para o interferômetro de Fabry-Pérot que será instalado no instrumento BTFI (Brazilian Tunable Filter Imager), no telescópio SOAR (Southern Astrophysical Research Telescope), no Chile. O interferômetro de Fabry-Pérot é um sistema multivariável de três entradas e três saídas composto por três atuadores piezoelétricos de 370 m de deslocamento, e três sistemas capacitivos de medida de distância de 400 m de faixa de medição. A caracterização da instrumentação do sistema, que consiste em sensores capacitivos, conversores de capacitância para tensão, atuadores piezoelétricos, drivers de potência para os atuadores piezoelétricos e sistemas de aquisição de dados, fez parte do estudo e da identificação do sistema. Após a caracterização da instrumentação, foi desenvolvido um modelo físico de sexta ordem para o sistema completo, partindo do modelo de segunda ordem dos atuadores piezoelétricos. Este modelo é necessário para o projeto dos controladores. Subsequentemente, as especificações científicas foram traduzidas em um problema de controle e o projeto do controlador robusto foi feito seguindo a técnica LQG/LTR (Linear Quadratic Gaussian/Loop Transfer Recovery). Um controlador Proporcional-Integral (PI) também foi desenvolvido e sintonizado usando um algoritmo genético, para funcionar como ponto de comparação. Finalmente, os controladores desenvolvidos foram validados no sistema real. Com os resultados concluiu-se que ambos controladores atingiram as especificações de desempenho no que diz respeito a seguir sinais de referência com erro nulo no estado estacionário. Pôde-se concluir ainda que o controlador robusto mostrou-se mais adaptado ao instrumento Fabry- Pérot em termos de desempenho e estabilidade, pois, comparado ao PI, é um controlador com maior largura de banda e robustez aos erros de modelamento.
Lyubchyk, Leonid, Vladislav Kolbasin, and Galina Grinberg. "Nonlinear dynamic system kernel based reconstruction from time series data." Thesis, ТВіМС, 2015. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36826.
Повний текст джерелаBurak, Senad A. "Modelling and identification of dynamic systems using modal and spectral data /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phb945.pdf.
Повний текст джерелаTugsal, Umut. "FAULT DIAGNOSIS OF ELECTRONIC FUEL CONTROL (EFC) VALVES VIA DYNAMIC PERFORMANCE TEST METHOD." ProQuest, 2009. http://hdl.handle.net/1805/2094.
Повний текст джерелаElectronic Fuel Control (EFC) valve regulates fuel flow to the injector fuel supply line in the Cummins Pressure Time (PT) fuel system. The EFC system controls the fuel flow by means of a variable orifice that is electrically actuated. The supplier of the EFC valves inspects all parts before they are sent out. Their inspection test results provide a characteristic curve which shows the relationship between pressure and current provided to the EFC valve. This curve documents the steady state characteristics of the valve but does not adequately capture its dynamic response. A dynamic test procedure is developed in order to evaluate the performance of the EFC valves. The test itself helps to understand the effects that proposed design changes will have on the stability of the overall engine system. A by product of this test is the ability to evaluate returned EFC valves that have experienced stability issues. The test determines whether an EFC valve is faulted or not before it goes out to prime time use. The characteristics of a good valve and bad valve can be observed after the dynamic test. In this thesis, a mathematical model has been combined with experimental research to investigate and understand the behavior of the characteristics of different types of EFC valves. The model takes into account the dynamics of the electrical and mechanical portions of the EFC valves. System Identification has been addressed to determine the transfer functions of the different types of EFC valves that were experimented. Methods have been used both in frequency domain as well as time domain. Also, based on the characteristic patterns exhibited by the EFC valves, fuzzy logic has been implemented for the use of pattern classification.
Goel, Gautam. "Dynamic flux estimation a novel framework for metabolic pathway analysis /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31769.
Повний текст джерелаCommittee Chair: Voit, Eberhard O.; Committee Member: Butera, Robert; Committee Member: Chen, Rachel; Committee Member: Kemp, Melissa; Committee Member: Neves, Ana Rute. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Pham, Hoang Anh [Verfasser], and Christian [Akademischer Betreuer] Bucher. "Dynamic system identification based on selective sensitivity / Hoang Anh Pham ; Betreuer: Christian Bucher." Weimar : Professur Baumechanik, 2007. http://d-nb.info/1115335561/34.
Повний текст джерелаFöll, Roman [Verfasser]. "Sparse Deep Gaussian Process Approximation and Application of Dynamic System Identification / Roman Föll." München : Verlag Dr. Hut, 2021. http://d-nb.info/123284750X/34.
Повний текст джерелаNarby, Erik. "Modeling and Estimation of Dynamic Tire Properties." Thesis, Linköping University, Department of Electrical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6153.
Повний текст джерелаInformation about dynamic tire properties has always been important for drivers of wheel driven vehicles. With the increasing amount of systems in modern vehicles designed to measure and control the behavior of the vehicle information regarding dynamic tire properties has grown even more important.
In this thesis a number of methods for modeling and estimating dynamic tire properties have been implemented and evaluated. The more general issue of estimating model parameters in linear and non-linear vehicle models is also addressed.
We conclude that the slope of the tire slip curve seems to dependent on the stiffness of the road surface and introduce the term combined stiffness. We also show that it is possible to estimate both longitudinal and lateral combined stiffness using only standard vehicle sensors.
Joodi, Benjamin Michael. "Comparative Assessment of Frequency Dependent Joint Properties Using Direct and Inverse Identification Methods." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417024616.
Повний текст джерелаGuo, Tingyan. "On-line identification of power system dynamic signature using PMU measurements and data mining." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/online-identification-of-power-system-dynamic-signature-using-pmu-measurements-and-data-mining(989938d4-c236-48a7-a653-17326937f5b4).html.
Повний текст джерелаVu, Ky Minh. "System identification, control algorithms and control interval for the Box-Jenkins dynamic model structure." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq25181.pdf.
Повний текст джерелаHernandez, Moreno Andres Felipe. "A metamodeling approach for approximation of multivariate, stochastic and dynamic simulations." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43690.
Повний текст джерелаSabbagh, Yvonne. "Maximum Likelihood Estimation of Hammerstein Models." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2061.
Повний текст джерелаIn this Master's thesis, Maximum Likelihood-based parametric identification methods for discrete-time SISO Hammerstein models from perturbed observations on both input and output, are investigated.
Hammerstein models, consisting of a static nonlinear block followed by a dynamic linear one, are widely applied to modeling nonlinear dynamic systems, i.e., dynamic systems having nonlinearity at its input.
Two identification methods are proposed. The first one assumes a Hammerstein model where the input signal is noise-free and the output signal is perturbed with colored noise. The second assumes, however, white noises added to the input and output of the nonlinearity and to the output of the whole considered Hammerstein model. Both methods operate directly in the time domain and their properties are illustrated by a number of simulated examples. It should be observed that attention is focused on derivation, numerical calculation, and simulation corresponding to the first identification method mentioned above.
Barnard, Jakobus Petrus. "Empirical state space modelling with application in online diagnosis of multivariate non-linear dynamic systems." Thesis, Stellenbosch : Stellenbosch University, 1999. http://hdl.handle.net/10019.1/51258.
Повний текст джерелаENGLISH ABSTRACT: System identification has been sufficiently formalized for linear systems, but not for empirical identification of non-linear, multivariate dynamic systems. Therefore this dissertation formalizes and extends non-linear empirical system identification for the broad class of nonlinear multivariate systems that can be parameterized as state space systems. The established, but rather ad hoc methods of time series embedding and nonlinear modeling, using multilayer perceptron network and radial basis function network model structures, are interpreted in context with the established linear system identification framework. First, the methodological framework was formulated for the identification of non-linear state space systems from one-dimensional time series using a surrogate data method. It was clearly demonstrated on an autocatalytic process in a continuously stirred tank reactor, that validation of dynamic models by one-step predictions is insufficient proof of model quality. In addition, the classification of data as either dynamic or random was performed, using the same surrogate data technique. The classification technique proved to be robust in the presence of up to at least 10% measurement and dynamic noise. Next, the formulation of a nearly real-time algorithm for detection and removal of radial outliers in multidimensional data was pursued. A convex hull technique was proposed and demonstrated on random data, as well as real test data recorded from an internal combustion engine. The results showed the convex hull technique to be effective at a computational cost two orders of magnitude lower than the more proficient Rocke and Woodruff technique, used as a benchmark, and incurred low cost (0.9%) in terms of falsely identifying outliers. Following the identification of systems from one-dimensional time series, the methodological framework was expanded to accommodate the identification of nonlinear state space systems from multivariate time series. System parameterization was accomplished by combining individual embeddings of each variable in the multivariate time series, and then separating this combined space into independent components, using independent component analysis. This method of parameterization was successfully applied in the simulation of the abovementioned autocatalytic process. In addition, the parameterization method was implemented in the one-step prediction of atmospheric N02 concentrations, which could become part of an environmental control system for Cape Town. Furthermore, the combination of the embedding strategy and separation by independent component analysis was able to isolate some of the noise components from the embedded data. Finally the foregoing system identification methodology was applied to the online diagnosis of temporal trends in critical system states. The methodology was supplemented by the formulation of a statistical likelihood criterion for simultaneous interpretation of multivariate system states. This technology was successfully applied to the diagnosis of the temporal deterioration of the piston rings in a compression ignition engine under test conditions. The diagnostic results indicated the beginning of significant piston ring wear, which was confirmed by physical inspection of the engine after conclusion of the test. The technology will be further developed and commercialized.
AFRIKAANSE OPSOMMING: Stelselidentifikasie is weI genoegsaam ten opsigte van lineere stelsels geformaliseer, maar nie ten opsigte van die identifikasie van nie-lineere, multiveranderlike stelsels nie. In hierdie tesis word nie-lineere, empiriese stelselidentifikasie gevolglik ten opsigte van die wye klas van nielineere, multiveranderlike stelsels, wat geparameteriseer kan word as toestandveranderlike stelsels, geformaliseer en uitgebrei. Die gevestigde, maar betreklik ad hoc metodes vir tydreeksontvouing en nie-lineere modellering (met behulp van multilaag-perseptron- en radiaalbasisfunksie-modelstrukture) word in konteks met die gevestigde line ere stelselidentifikasieraamwerk vertolk. Eerstens is die metodologiese raamwerk vir die identifikasie van nie-lineere, toestandsveranderlike stelsels uit eendimensionele tydreekse met behulp van In surrogaatdatametode geformuleer. Daar is duidelik by wyse van 'n outokatalitiese proses in 'n deurlopend geroerde tenkreaktor getoon dat die bevestiging van dinamiese modelle deur middel van enkelstapvoorspellings onvoldoende bewys van die kwaliteit van die modelle is. Bykomend is die klassifikasie van tydreekse as 6f dinamies Of willekeurig, met behulp van dieselfde surrogaattegniek gedoen. Die klassifikasietegniek het in die teenwoordigheid van tot minstens 10% meetgeraas en dinamiese geraas robuust vertoon. / Vervolgens is die formulering van In bykans intydse algoritme vir die opspoor en verwydering van radiale uitskieters in multiveranderlike data aangepak. 'n Konvekse hulstegniek is V:oorgestel en op ewekansige data, sowel as op werklike toetsdata wat van 'n binnebrandenjin opgeneem is, gedemonstreer. Volgens die resultate was die konvekse hulstegniek effektief teen 'n rekenkoste twee grootte-ordes kleiner as die meer vermoende Rocke en Woodrufftegniek, wat as meetstandaard beskou is. Die konvekse hulstegniek het ook 'n lae loopkoste (0.9%) betreffende die valse identifisering van uitskieters behaal. Na aanleiding van die identifisering van stelsels uit eendimensionele tydreekse, is die metodologiese raamwerk uitgebiei om die identifikasie van nie-lineere, toestandsveranderlike stelsels uit multiveranderlike data te omvat. Stelselparameterisering is bereik deur individuele ontvouings van elke veranderlike in die multidimensionele tydreeks met die skeiding van die gesamenlike ontvouingsruimte tot onafhanklike komponente saam te span. Sodanige skeiding is deur middel van onafhanklike komponentanalise behaal. Hierdie metode van parameterisering is suksesvc1 op die simulering van bogenoemde outokatalitiese proses toegepas. Die parameteriseringsmetode is bykomend in die enkelstapvoorspelling van atmosferiese N02-konsentrasies ingespan en sal moontlik deel van 'n voorgestelde omgewingsbestuurstelsel vir Kaapstad uitmaak. Die kombinasie van die ontvouingstrategie en skeiding deur onafhanklike komponentanalise was verder ook in staat om van die geraaskomponente in die data uit te lig. Ten slotte is die voorafgaande tegnologie vir stelselidentifikasie op die lopende diagnose van tydsgebonde neigings in kritiese stelseltoestande toegepas. Die metodologie is met die formulering van 'n statistiese waarskynlikheidsmaatstaf vir die gelyktydige vertolking van multiveranderlike stelseltoestande aangevul. Hierdie tegnologie is suksesvol op die diagnose van die tydsgebonde verswakking van die suierringe in 'n kompressieontstekingenj in tydens toetstoestande toegepas. Die diagnostiese resultate het die aanvang van beduidende slytasie in die suierringe aangedui, wat later tydens fisiese inspeksie van die enjin met afloop van die toets, bevestig is. Die tegnologie sal verder ontwikkel en markgereed gemaak word.
McEwen, Matthew D. "Dynamic system identification and modeling of a rotary wing UAV for stability and control analysis." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA349878.
Повний текст джерелаRamos, Pablo D. Jr. "SYSTEM IDENTIFICATION OF A BRIDGE-TYPE BUILDING STRUCTURE." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/944.
Повний текст джерелаHatzenbuehler, Mark A. "Modeling of jet vane heat-transfer characteristics and simulation of thermal response." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23314.
Повний текст джерелаThe development of a dynamic computational model capable of predicting, with the requisite design certainty, the transient thermal response of jet vane thrust control systems has been undertaken. The modeling and simulation procedures utilized are based on the concept that the thermal processes associated with jet vane operation can be put into a transfer function form commonly found in the discipline of automatic controls. Well established system identification methods are employed to formulate and verify the relationships between the various gains and frequencies of the transfer function model and experimental data provided by Naval Weapons Center, China Lake.
http://archive.org/details/modelingofjetvan00hatz
Lieutenant, United States Navy
Tutturen, Svenn Are. "Topics in dynamic positioning : System identification, GNSS and MRU lever arm estimation, and hybrid integral action." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for marin teknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27252.
Повний текст джерелаJiang, Xiaomo. "Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings." Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1110266591.
Повний текст джерелаTitle from first page of PDF file. Document formatted into pages; contains xvii, 221 p.; also includes graphics (some col.). Includes bibliographical references (p. 210-221). Available online via OhioLINK's ETD Center
Schön, Thomas B. "Estimation of Nonlinear Dynamic Systems : Theory and Applications." Doctoral thesis, Linköpings universitet, Reglerteknik, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-7124.
Повний текст джерелаBoggs, Christopher Matthew. "The Use of Simulation to Expedite Experimental Investigations of the Effect of High-Performance Shock Absorbers." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/26108.
Повний текст джерелаPh. D.
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.
Повний текст джерелаAljuri, A. Nikolai (Antony Nikolai) 1968. "System identification of dynamic closed-loop cardiovascular control of total peripheral resistance by arterial and cardiopulmonary baroreceptors." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29900.
Повний текст джерелаVita.
Includes bibliographical references (leaves 72-76).
Prolonged exposure to microgravity in space flight missions (days) impairs the mechanisms responsible for defense of cardiac output (CO) and arterial blood pressure (Pa) against orthostatic stress during re-entry and in the post-flight period. To date, available countermeasures have not been able to eliminate the observed orthostatic hypotension. The mechanisms responsible for the observed orthostatic intolerance are not yet completely understood. Pa is maintained by control pathways, which influence either total peripheral resistance (Ra) or CO. Central control of Ra is achieved by a complex closed-loop negative feedback system composed of the arterial and the cardiopulmonary baroreflexes. The aims of the doctoral research presented in this thesis were: 1) design and employ a novel conscious animal model for the examination of arterial and cardiopulmonary baroreceptors in the dynamic closed-loop short-term control of Ra. 2) develop and apply a system identification method for the analysis of fluctuations in Pa, right atrial pressure (Pra), and Ra to quantitatively characterize the physiologic mechanisms responsible for the couplings between these variables. For this purpose, eight conscious sheep were used, where both types of baroreceptors were simultaneously exposed to random independent beat pressure variations over a small range around their operating points, while Ra was measured. Subsequently, system identification was applied to determine the quantitative dynamic contributions of Pa and Pra to short-term closed-loop regulation of Ra. To validate the dynamic properties of the transfer function estimates from the developed system identification method, step response estimates from Pa to Ra and from Pra to Ra were compared to directly measured step response observations.
by A. Nikolai Aljuri.
Ph.D.
Inga, Charaja Juan Jairo [Verfasser], and S. [Akademischer Betreuer] Hohmann. "Inverse Dynamic Game Methods for Identification of Cooperative System Behavior / Juan Jairo Inga Charaja ; Betreuer: S. Hohmann." Karlsruhe : KIT-Bibliothek, 2020. http://d-nb.info/1221186906/34.
Повний текст джерелаInga, Charaja Juan Jairo [Verfasser], and S. [Akademischer Betreuer] Hohmann. "Inverse Dynamic Game Methods for Identification of Cooperative System Behavior / Juan Jairo Inga Charaja ; Betreuer: S. Hohmann." Karlsruhe : KIT-Bibliothek, 2021. http://d-nb.info/1234063751/34.
Повний текст джерелаCarter, Matthew Edward. "Setting location priors using beamforming improves model comparison in MEG-DCM." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50418.
Повний текст джерелаMaster of Science
Wiese, Johannes Jacobus. "System identification and model-based control of a filter cake drying process." Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6654.
Повний текст джерелаENGLISH ABSTRACT: A mineral concentrate drying process consisting of a hot gas generator, a flash dryer and a feeding section is found to be the bottleneck in the platinum concentrate smelting process. This operation is used as a case study for system identification and model-based control of dryers. Based on the availability of a month's worth of dryer data obtained from a historian, a third party modelling and control software vendor is interested in the use of this data for data driven model construction and options for dryer control. The aimed contribution of this research is to use only data driven techniques and attempt an SID experiment and use of this model in a controller found in literature to be applicable to the dryer process. No first principle model was available for simulation or interpretation of results. Data were obtained for the operation from the plant historian, reduced, cleaned and investigated for deterministic information through surrogate data comparison – resulting in usable timeseries from the plant data. The best datasets were used for modelling of the flash dryer and hot gas generator operations individually, with the hot gas generator providing usable results. The dynamic, nonlinear autoregressive models with exogenous inputs were identified by means of a genetic programming with orthogonal least squares toolbox. The timeseries were reconstructed as a latent variable set, or “pseudo-embedding”, using the delay parameters as identified by average mutual information, autocorrelation and false nearest neighbours. The latent variable reconstruction resulted in a large solution space, which need to be investigated for an unknown model structure. Genetic Programming is capable of identifying unknown structures. Freerun prediction stability and sensitivity analysis were used to assess the identified best models for use in model based control. The best two models for the hot gas generator were used in a basic model predictive controller in an attempt to only track set point changes. One step ahead modelling of the flash dryer outlet air temperature was unsuccessful with the best model obtaining a validation R2 = 43%. The lack of process information contained in the available process variables are to blame for the poor model identification. One-step ahead prediction of the hot gas generator resulted in a top model with validation R2 = 77.1%. The best two hot gas generator models were implemented in a model predictive controller constructed in a real time plant data flow simulation. This controller's performance was measured against set point tracking ability. The MPC implementation was unsuccessful due to the poor freerun prediction ability of the models. The controller was found to be unable to optimise the control moves using the model. This is assigned to poor model freerun prediction ability in one of the models and a too complex freerun model structure required. It is expected that the number of degrees of freedom in the freerun model is too much for the optimiser to handle. A successful real time simulation architecture for the plant dataflow could however be constructed in the supplied software. It is recommended that further process measurements, specifically feed moisture content, feed temperature and air humidity, be included for the flash dryer; closed loop system identification be investigated for the hot gas generator; and a simpler model structure with smaller reconstructed latent variable regressor set be used for the model predictive controller.
AFRIKAANSE OPSOMMING: 'n Drogings proses vir mineraal konsentraat bestaan uit drie eenhede: 'n lug verwarmer-, 'n blitsdroeër- en konsentraat toevoer eenheid. Hierdie droeër is geïdentifiseer as die bottelnek in die platinum konsentraat smeltingsproses. Die droeër word gebruik as 'n gevallestudie vir sisteem identifikasie asook model-gebasseerder beheer van droeërs. 'n Maand se data verkry vanaf die proses databasis, het gelei tot 'n derde party industriële sagteware en beheerstelsel maatskappy se belangstelling in data gedrewe modelering en beheer opsies vir die drogings proses. Die doelwit van hierdie studie is om data gedrewe modeleringstegnieke te gebruik en die model in 'n droeër-literatuur relevante beheerder te gebruik. Geen eerste beginsel model is beskikbaar vir simulasie of interpretasie van resultate nie. Die verkrygde data is gereduseer, skoon gemaak en bestudeer om te identifiseer of die tydreeks deterministiese inligting bevat. Dit is gedoen deur die tydreeks met stochastiese surrogaat data te vergelyk. Die mees gepaste datastelle is gebruik vir modellering van die blitsdroeër en lugverwarmer afsonderlik. Die nie-liniêre, dinamiese nie-linieêre outeregressie modelle met eksogene insette was deur 'n genetiese programmering algoritme, met ortogonale minimum kwadrate, identifiseer. Die betrokke tydreeks is omskep in 'n hulp-veranderlike stel deur gebruik te maak van vertragings-parameters wat deur gemiddelde gemeenskaplike inligting, outokorrelasie en vals naaste buurman metodes verkry is. Die GP algoritme is daartoe in staat om the groot oplossings ruimte wat deur hierdie hulp-veranderlike rekonstruksie geskep word, te bestudeer vir 'n onbekende model struktuur. Die vrye vooruitskattings vermoë, asook die model sensitiwiteit is inag geneem tydens die analiese van die resultate. Die beste modelle se gepastheid tot model voorspellende beheer is gemeet deur die uitkomste van 'n sensitiwiteits analise, asook 'n vrylopende voorspelling, in oënskou te neem. Die een-stap vooruit voorspellende model van die droeër was onsusksesvol met die beste model wat slegs 'n validasie R2 = 43% kon behaal. Die gebrekkige meet instrumente in die droeër is te blameer vir die swak resultate. Die een-stap vooruit voorspellende model van die lug verwarmer wat die beste gevaar het, het 'n validasie R2 = 77.1% gehad. 'n Basiese model voorspellende beheerder is gebou deur die 2 beste modelle van slegs die lugverwarmer te gebruik in 'n intydse simulasie van die raffinadery data vloei struktuur. Hierdie beheerder se vermoë om toepaslike beheer uit te oefen, is gemeet deur die slegs die stelpunt te verander. Die beheerder was egter nie daartoe in staat om die insette te optimeer, en so die stelpunt te volg nie. Hierdie onvermoë is as gevolg van die kompleks vrylopende model struktuur wat oor die voorspellingsvenster optimeer moet word, asook die onstabiele vryvooruitspellings vermoë van die modelle. Die vermoede is dat die loslopende voorspelling te veel vryheids grade het om die insette maklik genoeg te optimeer. Die intydse simulasie van die raffinadery se datavloei struktuur was egter suksesvol. Beter meting van noodsaaklike veranderlikes vir die droër, o.a. voginhoud van die voer, voer temperatuur, asook lug humiditeit; geslotelus sisteem identifikasie vir die lugverwarmer; asook meer eenvoudige model struktuur vir gebruik in voorspellende beheer moontlik vermag deur 'n kleiner hulp veranderlike rekonstruksie te gebruik.
Noxon, Nikola John Linn. "A MODEL PREDICTIVE CONTROL APPROACH TO ROLL STABILITY OF A SCALED CRASH AVOIDANCE VEHICLE." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/783.
Повний текст джерелаDas, Ajoy Kumar. "Health Assessment of Three Dimensional Large Structural Systems Using Limited Uncertain Dynamic Response Information." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/268597.
Повний текст джерелаJain, Sulabh. "Event-Driven Dynamic Query Model for Sleep Study Outcomes Research." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1323377417.
Повний текст джерелаBoberg, Frida. "Simulation of dynamic and static behavior of an electrically powered lift gate." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11627.
Повний текст джерелаContinental Automotive Systems is a German company that develops control systems for different applications in cars. A control system for electrically powered lift gates that are opened or closed on the driver’s command is one of the products developed. The drive system itself is composed of a spindle that is driven by a DC-motor over a gear and a spring. When developing the control system it is convenient to use a simulation model instead of having to implement it on the system every time. The simulation analytically describes how the system is behaving.
In this thesis a simulation model of a drive system and a lift gate is developed and evaluated. The model parameters are estimated using System Identification Toolbox in Matlab.
Continental Automotive Systems är ett tyskt företag som utvecklar styrsystem för olika tillämpningar i bilar. Bland annat utvecklas ett styrsystem till eldrivna bakluckor som öppnas och stängs av föraren per knapptryck. Själva drivanordningen består av en skruv som drivs av en likströmsmotor över en utväxling och en fjäder. Då man vill utveckla styrsystemet utan att behöva implementera det på systemet varje gång är en simuleringsmodell av drivanordningen och luckan ett bra hjälpmedel. Denna simuleringsmodell kan då analytiskt beräkna hur systemet uppför sig.
I detta examensarbete har en simuleringsmodell av en drivanordning med tillhörande lucka utvecklats och utvärderats. Modellparametrarna estimerades med hjälp av System Identification Toolbox i Matlab.
Samal, Mahendra Engineering & Information Technology Australian Defence Force Academy UNSW. "Neural network based identification and control of an unmanned helicopter." Awarded by:University of New South Wales - Australian Defence Force Academy. Engineering & Information Technology, 2009. http://handle.unsw.edu.au/1959.4/43917.
Повний текст джерелаPant, Gaurav. "Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform. A Framework Combining Dynamic and Statistical Modelling to Develop Surrogate Models of System of Internal Combustion Engine for Emission Modelling." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17223.
Повний текст джерела