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Dissertations / Theses on the topic 'Distributed Moving Horizon Estimation'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Philipp, Peter [Verfasser]. "Centralized and Distributed Moving Horizon Strategies for State Estimation of Networked Control Systems / Peter Philipp." München : Verlag Dr. Hut, 2014. http://d-nb.info/1050331699/34.

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2

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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3

Philipp, Peter [Verfasser], Boris [Akademischer Betreuer] Lohmann, and Jan [Akademischer Betreuer] Lunze. "Centralized and Distributed Moving Horizon Strategies for State Estimation of Networked Control Systems / Peter Philipp. Gutachter: Jan Lunze ; Boris Lohmann. Betreuer: Boris Lohmann." München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/1048176207/34.

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4

Philipp, Peter Verfasser], Boris [Akademischer Betreuer] Lohmann, and Jan [Akademischer Betreuer] [Lunze. "Centralized and Distributed Moving Horizon Strategies for State Estimation of Networked Control Systems / Peter Philipp. Gutachter: Jan Lunze ; Boris Lohmann. Betreuer: Boris Lohmann." München : Universitätsbibliothek der TU München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20140131-1175508-0-0.

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5

Segovia, Castillo Pablo. "Model-based control and diagnosis of inland navigation networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/671004.

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This thesis regards the problem of optimal management of water resources in inland navigation networks from a control theory perspective. In particular, the main objective to be attained consists in guaranteeing the navigability condition of the network, i.e., ensuring that the water levels are such that vessels can travel safely. More specifically, the water levels must be kept within an interval around the setpoint. Other common objectives include minimizing the operational cost and ensuring a long lifespan of the equipment. However, inland navigation networks are large-scale systems charact

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6

Ramalingam, Mohan Kumar. "Moving Horizon Estimation with Dynamic Programming." Cleveland State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=csu1386778712.

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7

Schneider, René [Verfasser]. "Iterative Partition-Based Moving-Horizon State Estimation / René Schneider." Aachen : Shaker, 2017. http://d-nb.info/1138178179/34.

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8

Schneider, René [Verfasser], Wolfgang [Akademischer Betreuer] Marquardt, and Riccardo [Akademischer Betreuer] Scattolini. "Iterative partition-based moving-horizon state estimation / René Schneider ; Wolfgang Marquardt, Riccardo Scattolini." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1162845856/34.

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9

Zhang, Hanzhong. "A moving boundary problem in a distributed parameter system with application to diode modeling." Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3037035.

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10

Volker, Anna. "Explicit/multi-parametric moving horizon estimation and model : predictive control & application to small unmanned aerial vehicles." Thesis, Imperial College London, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538787.

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11

Voelker, Anna. "Explicit/multi-parametric moving horizon estimation and model predictive control & their application to small unmanned aerial vehicles." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7030.

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Moving horizon estimation (MHE) is a class of estimation methods in which the system state and disturbance estimates are obtained by solving a constrained optimization problem. The main advantage of MHE is that information about the system can be explicitly considered in the form of constraints and hence improve the estimates. In stochastic systems the estimation error will inevitably be non-zero and the controller needs to explicitly account for it to prevent constraint violations. In order for the controller to be robustified against the estimation error, bounds on the error need to be known

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12

Thiyagarajan, Kamesh. "Conceptual development of brake friction estimation strategies." Thesis, KTH, Fordonsdynamik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285677.

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The thesis work investigates brake friction estimation strategies. The friction between the brake disc and brake pads is not constant during the braking application and contributes to the amount of brake torque achieved at the wheels. In this study, it is considered that any change in the brake torque between the requested and achieved values is only due to the varying brake friction coefficient. The work gives three different approaches to estimate the brake friction coefficient using two prominent state estimation strategies, Unscented Kalman Filter and Moving Horizon Estimation. The inputs

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13

Suwantong, Rata. "New Structure for Moving Horizon Estimators. Application to Space Debris Tracking during the Atmospheric Re-entries." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0023/document.

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L’estimation de trajectoires de débris spatiaux pendant la rentrée atmosphérique est un défi majeur pour les prochaines années, renforcé par plusieurs projets liés à l'enlèvement de débris établis par plusieurs agences spatiales. Cependant, ce problème s’avère complexe du fait des erreurs de modèle et des difficultés d’initialisation des algorithmes d’estimation induites par une mauvaise connaissance de la dynamique des débris suite à leur désintégration pendant la phase de rentrée atmosphérique. Tout estimateur choisi doit donc être robuste vis-à-vis de ces facteurs. L’estimateur à horizon gl

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14

Gruss, Lucas. "Estimation avancée à horizon glissant, état et paramètres, pour la conduite du coeur des réacteurs PWR." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0434.

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La commande prédictive (MPC) comporte d’indéniables atouts pour la commande du coeur des réacteurs à eau pressurisée (REP) ; elle a vocation à enrichir l’offre commerciale de Framatome. Néanmoins, les performances de la MPC sont conditionnées par la qualité du modèle de prédiction sous-jacent et la connaissance à chaque instant de l’état courant du modèle de réacteur. Cette thèse revient sur ces deux aspects qui constituent les verrous industriels. Elle propose un modèle de coeur de complexité juste suffisante, et le moyen de procéder à la calibration adaptative de certains de ses paramètres.

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15

BOUHADJRA, DYHIA. "Modeling and Estimation of Biological Plants." Doctoral thesis, Università degli studi di Genova, 2022. https://hdl.handle.net/11567/1101093.

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Estimating the state of a dynamic system is an essential task for achieving important objectives such as process monitoring, identification, and control. Unlike linear systems, no systematic method exists for the design of observers for nonlinear systems. Although many researchers have devoted their attention to these issues for more than 30 years, there are still many open questions. We envisage that estimation plays a crucial role in biology because of the possibility of creating new avenues for biological studies and for the development of diagnostic, management, and treatment tools. To thi

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16

Eltrabyly, Akram. "Estimation and fault-tolerant control for safer quadrotor flights." Electronic Thesis or Diss., université Paris-Saclay, 2023. https://www.biblio.univ-evry.fr/theses/2023/interne/2023UPAST149.pdf.

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Les quadrotors sont de plus en plus présents dans notre vie quotidienne et sont utilisés dans de nombreuses applications, des services de livraison aux spectacles de drones. Beaucoup de leurs applications impliquent un contact étroit avec les humains. Si un défaut survient sur le quadrotor, notamment sur un des moteurs, cela pourrait entraîner des événements catastrophiques, des blessures et des pertes d'équipements coûteuses, voire la mort. Il est donc essentiel de se concentrer sur l'amélioration de leur sécurité et de leur fiabilité grâce à des algorithmes bien conçus qui peuvent détecter e

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17

Zadeh, Ramin Agha. "Performance control of distributed generation using digital estimation of signal parameters." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/47011/1/Ramin_Agha_Zadeh_Thesis.pdf.

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The Queensland University of Technology (QUT) allows the presentation of a thesis for the Degree of Doctor of Philosophy in the format of published or submitted papers, where such papers have been published, accepted or submitted during the period of candidature. This thesis is composed of seven published/submitted papers, of which one has been published, three accepted for publication and the other three are under review. This project is financially supported by an Australian Research Council (ARC) Discovery Grant with the aim of proposing strategies for the performance control of Distributed

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18

Xiong, Rentian. "In situ sensing for chemical vapor deposition based on state estimation theory." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22711.

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Thesis (Ph. D.)--Chemical and Biomolecular Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Gallivan, Martha; Committee Member: Ferguson, Ian; Committee Member: Henderson, Cliff; Committee Member: Hess, Dennis; Committee Member: Lee, Jay.

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19

Arezki, Hasni. "Advanced Estimation Algorithms for Nonlinear Systems : Design Methods and Applications." Electronic Thesis or Diss., Université de Lorraine, 2024. http://www.theses.fr/2024LORR0128.

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Un système dynamique modélise l'évolution d'un système au fil du temps, régie par des lois ou des équations spécifiques. Assurer la stabilité de ces systèmes, sous une action de contrôle donnée, est essentiel pour prévoir leur comportement à long terme. Les méthodes d'analyse de stabilité, telles que la théorie de Lyapunov et la stabilité entrée-état (ISS), fournissent des outils essentiels pour évaluer si un système restera stable. Lorsque la mesure directe de tous les états du système n'est pas possible, des techniques d'estimation, telles que les observateurs et les estimateurs, jouent un r

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20

Omar, Oumayma. "Sur la résolution des problèmes inverses pour les systèmes dynamiques non linéaires. Application à l’électrolocation, à l’estimation d’état et au diagnostic des éoliennes." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT083/document.

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Cette thèse concerne principalement la résolution des problèmes d’inversion dynamiquedans le cadre des systèmes dynamiques non linéaires. Ainsi, un ensemble de techniquesbasées sur l’utilisation des trains de mesures passées et sauvegardées sur une fenêtreglissante, a été développé. En premier lieu, les mesures sont utilisées pour générerune famille de signatures graphiques, qui constituent un outil de classification permettantde discriminer les diverses valeurs des variables à estimer pour un système non linéairedonné. Cette première technique a été appliquée à la résolution de deux problèmes

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21

Joseph, Duran Bernat. "Hybrid modelling and receding horizon control of combined sewer networks." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284661.

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Combined sewer networks carry wastewater and storm water together. During normal operation all the water is delivered to wastewater treatment plants, where it is treated before being released to surrounding natural water bodies. However, during heavy rain events, the network capacity may become insufficient leading to untreated water discharges to the receiving environments. To mitigate these undesired effects, combined sewer networks are usually provided with detention tanks and flow redirection elements, managed to fully take advantage of the network capacity. In the last few decades automat

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22

Bouhadjra, Dyhia. "Modélisation, et estimation pour des systèmes biologiques." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0215.

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L'estimation de l'état d'un système dynamique est une étape cruciale, que ce soit pour la synthèse d'un contrôleur ou simplement pour l'identification ou la surveillance des processus. Une façon usuelle de résoudre ce problème consiste à implémenter un algorithme, appelé observateur, dont le rôle est de déduire une estimation fiable de l'état complet du système. Contrairement aux systèmes linéaires, aucune méthode systématique n'existe pour la conception d'observateurs pour les systèmes non linéaires. Bien que de nombreux chercheurs se soient penchés sur ces questions depuis plus de 30 ans, de

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23

Park, Junho. "Nonlinear Model Predictive Control for a Managed Pressure Drilling with High-Fidelity Drilling Simulators." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6792.

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The world's energy demand has been rapidly increasing and is projected to continue growing for at least the next two decades. With increasing global energy demand and competition from renewable energy, the oil and gas industry is striving for more efficient petroleum production. Many technical breakthroughs have enabled the drilling industry to expand the exploration to more difficult drilling such as deepwater drilling and multilateral directional drilling. For example, managed pressure drilling (MPD) offers ceaseless operation with multiple manipulated variables (MV) and wired drill pipe (WD

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24

Ding, Runxiao. "Contextual information aided target tracking and path planning for autonomous ground vehicles." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/23268.

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Recently, autonomous vehicles have received worldwide attentions from academic research, automotive industry and the general public. In order to achieve a higher level of automation, one of the most fundamental requirements of autonomous vehicles is the capability to respond to internal and external changes in a safe, timely and appropriate manner. Situational awareness and decision making are two crucial enabling technologies for safe operation of autonomous vehicles. This thesis presents a solution for improving the automation level of autonomous vehicles in both situational awareness and de

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25

Jackson, James Scott. "Enabling Autonomous Operation of Micro Aerial Vehicles Through GPS to GPS-Denied Transitions." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8709.

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Micro aerial vehicles and other autonomous systems have the potential to truly transform life as we know it, however much of the potential of autonomous systems remains unrealized because reliable navigation is still an unsolved problem with significant challenges. This dissertation presents solutions to many aspects of autonomous navigation. First, it presents ROSflight, a software and hardware architure that allows for rapid prototyping and experimentation of autonomy algorithms on MAVs with lightweight, efficient flight control. Next, this dissertation presents improvments to the state-of-t

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26

Eaton, Ammon Nephi. "Multi-Fidelity Model Predictive Control of Upstream Energy Production Processes." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6376.

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Increasing worldwide demand for petroleum motivates greater efficiency, safety, and environmental responsibility in upstream oil and gas processes. The objective of this research is to improve these areas with advanced control methods. This work develops the integration of optimal control methods including model predictive control, moving horizon estimation, high fidelity simulators, and switched control techniques applied to subsea riser slugging and managed pressure drilling. A subsea riser slugging model predictive controller eliminates persistent offset and decreases settling time by 5% co

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27

Nielsen, Isak. "Structure-Exploiting Numerical Algorithms for Optimal Control." Doctoral thesis, Linköpings universitet, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-136559.

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Numerical algorithms for efficiently solving optimal control problems are important for commonly used advanced control strategies, such as model predictive control (MPC), but can also be useful for advanced estimation techniques, such as moving horizon estimation (MHE). In MPC, the control input is computed by solving a constrained finite-time optimal control (CFTOC) problem on-line, and in MHE the estimated states are obtained by solving an optimization problem that often can be formulated as a CFTOC problem. Common types of optimization methods for solving CFTOC problems are interior-point (

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28

Bousbia-Salah, Ryad. "Optimisation dynamique en temps-réel d’un procédé de polymérisation par greffage." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0242/document.

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D'une manière schématique, l'optimisation dynamique de procédés consiste en trois étapes de base : (i) la modélisation, dans laquelle un modèle (phénoménologique) du procédé est construit, (ii) la formulation du problème, dans laquelle le critère de performance, les contraintes et les variables de décision sont définis, (iii) et la résolution, dans laquelle les profils optimaux des variables de décision sont déterminés. Il est important de souligner que ces profils optimaux garantissent l'optimalité pour le modèle mathématique utilisé. Lorsqu'ils sont appliqués au procédé, ces profils ne sont

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29

Bousbia-Salah, Ryad. "Optimisation dynamique en temps-réel d’un procédé de polymérisation par greffage." Electronic Thesis or Diss., Université de Lorraine, 2018. http://www.theses.fr/2018LORR0242.

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D'une manière schématique, l'optimisation dynamique de procédés consiste en trois étapes de base : (i) la modélisation, dans laquelle un modèle (phénoménologique) du procédé est construit, (ii) la formulation du problème, dans laquelle le critère de performance, les contraintes et les variables de décision sont définis, (iii) et la résolution, dans laquelle les profils optimaux des variables de décision sont déterminés. Il est important de souligner que ces profils optimaux garantissent l'optimalité pour le modèle mathématique utilisé. Lorsqu'ils sont appliqués au procédé, ces profils ne sont

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30

Ranjbar, Gigasari Roza. "Model Predictive Controller for large-scale systems - Application to water networks." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Lille Douai, 2024. http://www.theses.fr/2024MTLD0002.

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Cette thèse aborde le défi de l’optimisation de la gestion des ressources en eau au sein des canaux. Il s’agit d’une tâche particulièrement complexe en raison de leur échelle étendue et de la nature diverse de leurs composants, mais également de leurs dynamiques complexes caractérisées par des retards importants et parfois des pentes nulles. En ce qui concerne les réseaux de voies navigables, l’objectif principal est de mettre en œuvre des techniques issues de la théorie du Contrôle afin d’assurer la navigabilité du réseau, garantissant le respect des niveaux d’eau pour la navigation. Plus pré

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31

CHOU, YUNG-HSIANG, and 周擁祥. "Moving Horizon State Estimation Integrated with A Global Modeling Approach." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/s2d85z.

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碩士<br>國立臺北大學<br>電機工程學系<br>106<br>For the topic of state estimation, estimating internal state of a dynamic system has important implications on system modeling, also a part of feedback control in control engineering. In general, the system input and output can only reflect the external features, but the dynamical system behavior needs to be described with the internal state variables. Dynamic signal has very good performance in estimation and often cited by scholars, such as traditional estimation method Klaman filter. However, thinking from a global-local trade-off, often due to the deliberat

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32

Qu, Chunyan. "Nonlinear Estimation for Model Based Fault Diagnosis of Nonlinear Chemical Systems." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7225.

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Nonlinear estimation techniques play an important role for process monitoring since some states and most of the parameters cannot be directly measured. There are many techniques available for nonlinear state and parameter estimation, i.e., extended Kalman filter (EKF), unscented Kalman filter (UKF), particle filtering (PF) and moving horizon estimation (MHE) etc. However, many issues related to the available techniques are to be solved. This dissertation discusses three important techniques in nonlinear estimation, which are the application of unscented Kalman filters, improvement of moving ho

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33

Bibin, Nataraja Pattel. "An evaluation of the moving horizon estimation algorithm for online estimation of battery state of charge and state of health." Thesis, 2014. http://hdl.handle.net/1805/6293.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Moving Horizon Estimation (MHE) is a powerful estimation technique for tackling the estimation problems of the state of dynamic systems in the presence of constraints, nonlinearities and disturbances and measurement noises. In this work, the Moving Horizon Estimation approach is applied in estimating the State of Charge (SOC) and State of Health (SOH) of a battery and the results are compared against those for the traditional estimation method of Extended Kalman Filter (EKF). The comparison of the results show that MHE provides

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34

Gherardini, Stefano. "Noise as a resource - Probing and manipulating classical and quantum dynamical systems via stochastic measurements." Doctoral thesis, 2018. http://hdl.handle.net/2158/1120060.

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In this thesis, common features from the theories of open quantum systems, estimation of state dynamics and statistical mechanics have been integrated in a comprehensive framework, with the aim to analyze and quantify the energetic and information contents that can be extracted from a dynamical system subject to the external environment. The latter is usually assumed to be deleterious for the feasibility of specic control tasks, since it can be responsible for uncontrolled time-dependent (and even discontinuous) changes of the system. However, if the effects of the random interaction with a n

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