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Dissertations / Theses on the topic 'Constrained state estimation'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Yan, Jun. "Constrained model predictive control, state estimation and coordination." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3206875.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed May 3, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 106-110).

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2

Lopez, Negrete de la Fuente Rodrigo. "Nonlinear Programming Sensitivity Based Methods for Constrained State Estimation." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/174.

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Model based control schemes, such as nonlinear model predictive control, assume that the full state vector of the plant is known for feedback control. However, in reality this is not always true. Most times only a set of noisy measurements are available, and thus, the unmeasured states need to be inferred from these measurements. This is done in combination with a detailed model of the system. The most common nonlinear state estimation methods do not have a means to deal with bounds or constraints on the states in an efficient or systematical way. These bounds and constraints are important in

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3

Venturino, Antonello. "Constrained distributed state estimation for surveillance missions using multi-sensor multi-robot systems." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPAST118.

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Les algorithmes distribués sont dorénavant présents dans de nombreux aspects de l'Automatique avec des applications pour des systèmes multi-robots, des réseaux de capteurs, couvrant des sujets tels que la commande, l'estimation d'état, la détection de défauts, la détection et l'atténuation des cyberattaques sur les systèmes cyber-physiques, etc. En effet, les systèmes distribués sont confrontés à des problèmes tels que l'extensibilité à un grand nombre d'agents et la communication entre eux. Dans les applications de systèmes multi-agents (par exemple, flotte de robots mobiles, réseaux de capte

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4

Duan, Zhansheng. "State Estimation with Unconventional and Networked Measurements." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1133.

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This dissertation consists of two main parts. One is about state estimation with two types of unconventional measurements and the other is about two types of network-induced state estimation problems. The two types of unconventional measurements considered are noise-free measurements and set measurements. State estimation with them has numerous real supports. For state estimation with noisy and noise-free measurements, two sequential forms of the batch linear minimum mean-squared error (LMMSE) estimator are obtained to reduce the computational complexity. Inspired by the estimation with

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5

Mook, Daniel Joseph. "Measurement covariance-constrained estimation for poorly modeled dynamic systems." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/49776.

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6

Pajic, Slobodan. "Power System State Estimation and Contingency Constrained Optimal Power Flow - A Numerically Robust Implementation." Digital WPI, 2007. https://digitalcommons.wpi.edu/etd-dissertations/240.

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The research conducted in this dissertation is divided into two main parts. The first part provides further improvements in power system state estimation and the second part implements Contingency Constrained Optimal Power Flow (CCOPF) in a stochastic multiple contingency framework. As a real-time application in modern power systems, the existing Newton-QR state estimation algorithms are too slow and too fragile numerically. This dissertation presents a new and more robust method that is based on trust region techniques. A faster method was found among the class of Krylov subspace iterative

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7

Merlinge, Nicolas. "State estimation and trajectory planning using box particle kernels." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS425/document.

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L'autonomie d'un engin aérospatial requière de disposer d'une boucle de navigation-guidage-pilotage efficace et sûre. Cette boucle intègre des filtres estimateurs et des lois de commande qui doivent dans certains cas s'accommoder de non-linéarités sévères et être capables d'exploiter des mesures ambiguës. De nombreuses approches ont été développées à cet effet et parmi celles-ci, les approches particulaires présentent l'avantage de pouvoir traiter de façon unifiée des problèmes dans lesquels les incertitudes d’évolution du système et d’observation peuvent être soumises à des lois statistiques

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8

Steinig, Simeon [Verfasser], and Kunibert G. [Akademischer Betreuer] Siebert. "Adaptive finite elements for state-constrained optimal control problems - convergence analysis and a posteriori error estimation / Simeon Steinig. Betreuer: Kunibert G. Siebert." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2014. http://d-nb.info/106430897X/34.

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9

Sircoulomb, Vincent. "Étude des concepts de filtrage robuste aux méconnaissances de modèles et aux pertes de mesures. Application aux systèmes de navigation." Thesis, Vandoeuvre-les-Nancy, INPL, 2008. http://www.theses.fr/2008INPL093N/document.

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La résolution d'un problème d'estimation de l'état d'un système nécessite de disposer d'un modèle régissant l'évolution des variables d'état et de mesurer de manière directe ou indirecte l'ensemble ou une partie de ces variables d'état. Les travaux exposés dans ce mémoire de thèse portent sur la problématique d'estimation en présence de méconnaissances de modèle et de pertes de capteurs. La première partie de ce travail constitue la synthèse d'un dispositif d'estimation d'état pour systèmes non linéaires. Cela consiste à sélectionner un estimateur d'état et convenablement le régler, puis à con

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10

Sircoulomb, Vincent. "Étude des concepts de filtrage robuste aux méconnaissances de modèles et aux pertes de mesures. Application aux systèmes de navigation." Electronic Thesis or Diss., Vandoeuvre-les-Nancy, INPL, 2008. http://www.theses.fr/2008INPL093N.

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La résolution d'un problème d'estimation de l'état d'un système nécessite de disposer d'un modèle régissant l'évolution des variables d'état et de mesurer de manière directe ou indirecte l'ensemble ou une partie de ces variables d'état. Les travaux exposés dans ce mémoire de thèse portent sur la problématique d'estimation en présence de méconnaissances de modèle et de pertes de capteurs. La première partie de ce travail constitue la synthèse d'un dispositif d'estimation d'état pour systèmes non linéaires. Cela consiste à sélectionner un estimateur d'état et convenablement le régler, puis à con

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11

Healey, Christopher M. "Advances in ranking and selection: variance estimation and constraints." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34768.

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In this thesis, we first show that the performance of ranking and selection (R&S) procedures in steady-state simulations depends highly on the quality of the variance estimates that are used. We study the performance of R&S procedures using three variance estimators --- overlapping area, overlapping Cramer--von Mises, and overlapping modified jackknifed Durbin--Watson estimators --- that show better long-run performance than other estimators previously used in conjunction with R&S procedures for steady-state simulations. We devote additional study to the development of the new overlapping mod

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12

Xiong, Jun. "Set-membership state estimation and application on fault detection." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2013. http://tel.archives-ouvertes.fr/tel-01068054.

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La modélisation des systèmes dynamiques requiert la prise en compte d'incertitudes liées à l'existence inévitable de bruits (bruits de mesure, bruits sur la dynamique), à la méconnaissance de certains phénomènes perturbateurs mais également aux incertitudes sur la valeur des paramètres (spécification de tolérances, phénomène de vieillissement). Alors que certaines de ces incertitudes se prêtent bien à une modélisation de type statistique comme par exemple les bruits de mesure, d'autres se caractérisent mieux par des bornes, sans autre attribut. Dans ce travail de thèse, motivés par les observa

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13

Batur, Demet. "Variance Estimation in Steady-State Simulation, Selecting the Best System, and Determining a Set of Feasible Systems via Simulation." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10541.

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In this thesis, we first present a variance estimation technique based on the standardized time series methodology for steady-state simulations. The proposed variance estimator has competitive bias and variance compared to the existing estimators in the literature. We also present the technique of rebatching to further reduce the bias and variance of our variance estimator. Second, we present two fully sequential indifference-zone procedures to select the best system from a number of competing simulated systems when best is defined by the maximum or minimum expected performance. These two proc

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14

Alves, Guilherme de Oliveira. "Uma nova metodologia para estimação de estados em sistemas de distribuição radiais utilizando PMUs." Universidade Federal de Juiz de Fora, 2015. https://repositorio.ufjf.br/jspui/handle/ufjf/1528.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-05-16T17:51:25Z No. of bitstreams: 1 guilhermedeoliveiraalves.pdf: 1293169 bytes, checksum: a76074780b2af177b66be7c6435b16d1 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2016-06-28T12:25:31Z (GMT) No. of bitstreams: 1 guilhermedeoliveiraalves.pdf: 1293169 bytes, checksum: a76074780b2af177b66be7c6435b16d1 (MD5)<br>Made available in DSpace on 2016-06-28T12:25:31Z (GMT). No. of bitstreams: 1 guilhermedeoliveiraalves.pdf: 1293169 bytes, checksum: a76074780b2af177b66be7c6435b16d1 (MD5)

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15

Couto, Mendonca Luis Daniel. "Electrochemical Modeling, Supervision and Control of Lithium-Ion Batteries." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/283201.

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This thesis develops an advanced battery monitoring and control system based on the electrochemical principles that govern lithium-ion battery dynamics. This work is motivated by the need of having safer and better energy storage systems for all kind of applications, from small scale portable electronics to large scale renewable energy storage. In this context, lithium-ion batteries have become the enabling technology for energy autonomy in appliances (e.g. mobile phone, electric vehicle) and energy self-consumption in households. However, batteries are oversized and pricey, might be unsafe, a

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16

LEMECHA, MEGERSA ENDASHAW. "Microcredit and agricultural technology adoptions: evidence from ethiopia." Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/290144.

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In Etiopia, le donne e le donne capofamiglia rappresentano una quota significativa delle famiglie agricole che sono anche estremamente povere. In questa tesi fornisco prove della necessità di andare oltre il microcredito e promuovere una più ampia inclusione finanziaria per influenzare la maggior parte delle strategie di sussistenza delle famiglie agricole, in particolare le adozioni tecnologiche. Uso un gruppo di famiglie ampio e rappresentativo a livello nazionale ottenuto dall'Etiopia rurale come parte dell'LSMS-ISA della Banca Mondiale a 1) comprendere i vincoli alle adozioni tecnologiche,

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17

Hee, Sonke. "Computational Bayesian techniques applied to cosmology." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/273346.

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This thesis presents work around 3 themes: dark energy, gravitational waves and Bayesian inference. Both dark energy and gravitational wave physics are not yet well constrained. They present interesting challenges for Bayesian inference, which attempts to quantify our knowledge of the universe given our astrophysical data. A dark energy equation of state reconstruction analysis finds that the data favours the vacuum dark energy equation of state $w {=} -1$ model. Deviations from vacuum dark energy are shown to favour the super-negative ‘phantom’ dark energy regime of $w {< } -1$, but at low st

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18

"A Study on Constrained State Estimators." Master's thesis, 2013. http://hdl.handle.net/2286/R.I.20903.

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abstract: This study focuses on state estimation of nonlinear discrete time systems with constraints. Physical processes have inherent in them, constraints on inputs, outputs, states and disturbances. These constraints can provide additional information to the estimator in estimating states from the measured output. Recursive filters such as Kalman Filters or Extended Kalman Filters are commonly used in state estimation; however, they do not allow inclusion of constraints in their formulation. On the other hand, computational complexity of full information estimation (using all measurements) g

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19

Pandian, A. "On Large Sparse Linear Inequality And Equality Constrained Linear Least Squares Algorithms With Applications In Energy Control Centers." Thesis, 1997. https://etd.iisc.ac.in/handle/2005/1812.

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20

Pandian, A. "On Large Sparse Linear Inequality And Equality Constrained Linear Least Squares Algorithms With Applications In Energy Control Centers." Thesis, 1997. http://etd.iisc.ernet.in/handle/2005/1812.

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21

Ma, Guangyi. "Three Essays on Estimation and Testing of Nonparametric Models." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11768.

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In this dissertation, I focus on the development and application of nonparametric methods in econometrics. First, a constrained nonparametric regression method is developed to estimate a function and its derivatives subject to shape restrictions implied by economic theory. The constrained estimators can be viewed as a set of empirical likelihood-based reweighted local polynomial estimators. They are shown to be weakly consistent and have the same first order asymptotic distribution as the unconstrained estimators. When the shape restrictions are correctly specified, the constrained estimators

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22

"Modelling and analysis of system state estimation with communication constraints." 1996. http://library.cuhk.edu.hk/record=b6073065.

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by Li Xia.<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 1996.<br>Includes bibliographical references (p. 129-134).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Mode of access: World Wide Web.

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23

Tai, Xin. "New state estimation techniques for smart power networks with communication constraints." Thesis, 2013. http://hdl.handle.net/1959.13/940999.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Electric power networks are undergoing profound changes in recent years and receiving increasing attention from researchers in different fields. The objective is to develop a smart grid solution in the energy management system (EMS), which can enhance the efficiency, reliability, economics, and sustainability of the production and distribution of electricity in an automated fashion. With the consideration of realizing the envisioned functionalities of smart grid, massive amounts of real-time measurement data collected via a myriad of smart met

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