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Dissertations / Theses on the topic 'Non-linear predictive control'

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Published: 4 June 2025

Last updated: 1 August 2025

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1

Townsend, Shane Martin Joseph. "Non-linear model predictive control." Thesis, Queen's University Belfast, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301061.

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2

Hong, Tao. "Non-linear predictive control of chemical processes." Thesis, University of Newcastle Upon Tyne, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245078.

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3

Korsfeldt, Larsén Alexander. "Non-linear Model Predictive Control for space debris removal missions." Thesis, Luleå tekniska universitet, Rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-72049.

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The rapidly increasing amounts of space debris orbiting Earth is threatening to reach a critical level, where the near-Earth environment becomes so overfilled with junk that many missions simply become unfeasible. Long-term active debris removal operations appear to be a necessity, but due to the scale of the problem this will likely be an expensive affair spanning decades or even centuries. Many of the mission-related costs can be significantly reduced by making use of a smaller spacecraft, such as the rapidly developing CubeSat standard. An issue with this approach is the limited actuation c

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4

Torabi, Zahra. "Distributed non-cooperative robust economic predictive control for dynamically coupled linear systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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In this thesis, a tube-based Distributed Economic Predictive Control (DEPC) scheme is presented for a group of dynamically coupled linear subsystems. These subsystems are components of a large scale system and control inputs are computed based on optimizing a local economic objective. Each subsystem is interacting with its neighbors by sending its future reference trajectory, at each sampling time. It solves a local optimization problem in parallel, based on the received future reference trajectories of the other subsystems. To ensure recursive feasibility and a performance bound, each subsys

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5

Owa, Kayode Olayemi. "Non-linear model predictive control strategies for process plants using soft computing approaches." Thesis, University of Plymouth, 2014. http://hdl.handle.net/10026.1/3031.

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The developments of advanced non-linear control strategies have attracted a considerable research interests over the past decades especially in process control. Rather than an absolute reliance on mathematical models of process plants which often brings discrepancies especially owing to design errors and equipment degradation, non-linear models are however required because they provide improved prediction capabilities but they are very difficult to derive. In addition, the derivation of the global optimal solution gets more difficult especially when multivariable and non-linear systems are inv

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6

Flood, Cecilia. "Real-time Trajectory Optimization for Terrain Following Based on Non-linear Model Predictive Control." Thesis, Linköping University, Department of Electrical Engineering, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1136.

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<p>There are occasions when it is preferable that an aircraft flies asclose to the ground as possible. It is difficult for a pilot to predict the topography when he cannot see beyond the next hill, and this makes it hard for him to find the optimal flight trajectory. With the help of a terrain database in the aircraft, the forthcoming topography can be found in advance and a flight trajectory can be calculated in real-time. The main goal is to find an optimal control sequence to be used by the autopilot. The optimization algorithm, which is created for finding the optimal control sequence, has

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7

Beal, Logan Daniel. "Large-Scale Non-Linear Dynamic Optimization For Combining Applications of Optimal Scheduling and Control." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7021.

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Optimization has enabled automated applications in chemical manufacturing such as advanced control and scheduling. These applications have demonstrated enormous benefit over the last few decades and continue to be researched and refined. However, these applications have been developed separately with uncoordinated objectives. This dissertation investigates the unification of scheduling and control optimization schemes. The current practice is compared to early-concept, light integrations, and deeper integrations. This quantitative comparison of economic impacts encourages further investigation

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8

Botha, Stefan. "Hybrid non-linear model predictive control of a run-of-mine ore grinding mill circuit." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/66915.

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A run-of-mine (ROM) ore milling circuit is primarily used to grind incoming ore containing precious metals to a powder fine enough to liberate the valuable minerals contained therein. The ground ore has a product particle size specification that is set by the downstream separation unit. A ROM ore milling circuit typically consists of a mill, sump and classifier (most commonly a hydrocyclone). These circuits are difficult to control because of unmeasurable process outputs, non-linearities, time delays, large unmeasured disturbances and complex models with modelling uncertainties. The ROM o

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9

Hoffmann, Kai [Verfasser]. "Non-linear model-based predictive control of a low-temperature gasoline combustion engine / Kai Hoffmann." Düsseldorf : VDI-Verl, 2010. http://d-nb.info/1005312478/34.

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10

Porfirio, Carlos Roberto. "Implantação de otimizador online acoplado ao controle preditivo (MPC) de uma coluna de Tolueno." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-31052011-164903/.

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O objetivo principal desta tese foi a implantação de uma nova estratégia para a integração da otimização em tempo real (RTO), com o controle preditivo multivariável em uma unidade de processo industrial. A solução proposta pode ser considerada como uma estratégia de uma camada, na qual os problemas de controle e otimização econômica são resolvidos simultaneamente, na mesma camada da estrutura de controle. Supondo que o objetivo econômico a ser maximizado (minimizado) seja uma função côncava (convexa) das entradas e saídas de processo, o controlador MPC com otimização econômica (OMPC) foi obtid

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11

Souza, Glauce Freitas de. "Integração da otimização em tempo real com controle preditivo." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-27072007-182632/.

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Este trabalho tem como objetivo principal o desenvolvimento de uma estratégia de integração da otimização com o controle preditivo multivariável em uma camada. Os problemas de controle e otimização econômica são resolvidos simultaneamente em um mesmo algoritmo. A função objetivo econômica foi inserida no controlador na sua forma diferencial, ou seja, o gradiente da função objetivo econômica. O método foi testado por simulação para o caso do sistema reator regenerador da UFCC (Unit of Fluid Catalytic Cracker). Esta dissertação descreve a estratégia de otimização integrada ao controlador prediti

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12

Carvalho, Douglas Freire de. "Sintonia de controlador preditivo não linear: análise comparativa com técnicas tradicionais." Universidade Federal de Goiás, 2017. http://repositorio.bc.ufg.br/tede/handle/tede/8045.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2017-12-18T11:49:36Z No. of bitstreams: 2 Dissertação - Douglas Freire de Carvalho - 2017.pdf: 23722781 bytes, checksum: 3e99befa0116cb9ca768d092c541c055 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-12-18T11:50:09Z (GMT) No. of bitstreams: 2 Dissertação - Douglas Freire de Carvalho - 2017.pdf: 23722781 bytes, checksum: 3e99befa0116cb9ca768d092c541c055 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)

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França, Alex Pereira. "Controle preditivo não-linear baseado em multimodelos aplicado ao motor de indução." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258912.

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Orientador: Edson Bim<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-16T22:20:50Z (GMT). No. of bitstreams: 1 Franca_AlexPereira_M.pdf: 3058764 bytes, checksum: beb5e6bdbba91505ff0ef14262e6be5c (MD5) Previous issue date: 2010<br>Resumo: Uma abordagem preditiva global-local para o controle de um motor de indução é apresentado nesta tese. O conceito de controle preditivo diz respeito a uma classe de controladores que tem se desenvolvido muito no âmbito do controle de sistemas de conversão de

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14

Obut, Salih. "Control Of Ph In Neutralization Reactor Of A Waste Water Treatment System Using Identification Reactor." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606395/index.pdf.

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A typical wastewater effluent of a chemical process can contain several strong acids/bases, weak acids/bases as well as their salts. They must be neutralized before being discharged to the environment in order to protect aquatic life and human welfare. However, neutralization process is highly non&ndash<br>linear and has time&ndash<br>varying characteristics. Therefore, the control of pH is a challenging problem where advanced control strategies are often considered. In this study, the aim is to design a pH control system that will be capable of controlling the pH-value of a plant waste-water

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15

Viljoen, Johannes Henning. "Dynamic Modelling and Hybrid Non-Linear Model Predictive Control of Induced Draft Cooling Towers With Parallel Heat Exchangers, Pumps and Cooling Water Network." Thesis, University of Pretoria, 2019. http://hdl.handle.net/2263/72415.

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In the process industries, cooling capacity is an important enabler for the facility to manufacture on specification product. The cooling water network is an important part of the over-all cooling system of the facility. In this research a cooling water circuit consisting of 3 cooling towers in parallel, 2 cooling water pumps in parallel, and 11 heat exchangers in parallel, is modelled. The model developed is based on first principles and captures the dynamic, non-linear, interactive nature of the plant. The modelled plant is further complicated by continuous, as well as discrete process varia

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16

Dalamagkidis, Konstantinos. "Autonomous vertical autorotation for unmanned helicopters." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003147.

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17

Cavalcanti, Anderson Luiz de Oliveira. "Estudo e implementa??o de um controlador preditivo generalizado bilinear compensado adaptativo." Universidade Federal do Rio Grande do Norte, 2003. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15425.

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Made available in DSpace on 2014-12-17T14:56:04Z (GMT). No. of bitstreams: 1 AndersonLOC.pdf: 406689 bytes, checksum: 691bbb5946a5ec4cddcd17c2240e9a91 (MD5) Previous issue date: 2003-12-12<br>The present work presents the study and implementation of an adaptive bilinear compensated generalized predictive controller. This work uses conventional techniques of predictive control and includes techniques of adaptive control for better results. In order to solve control problems frequently found in the chemical industry, bilinear models are considered to represent the dynamics of the studied syste

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18

Samal, Mahendra Engineering &amp 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.

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This research work provides the development of an Adaptive Flight Control System (AFCS) for autonomous hover of a Rotary-wing Unmanned Aerial Vehicle (RUAV). Due to the complex, nonlinear and time-varying dynamics of the RUAV, indirect adaptive control using the Model Predictive Control (MPC) is utilised. The performance of the MPC mainly depends on the model of the RUAV used for predicting the future behaviour. Due to the complexities associated with the RUAV dynamics, a neural network based black box identification technique is used for modelling the behaviour of the RUAV. Auto-regres

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19

Monge, Thierry. "Modélisation et commande multivariable non linéaire robuste des réacteurs chimiques discontinus - application à un procédé industriel." Rouen, 1996. http://www.theses.fr/1996ROUES069.

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Le présent travail concerne, dans une première partie, la modélisation d'un réacteur chimique semi-continu industriel, celle-ci étant ensuite appliquée à la commande multivariable non linéaire. Les bilans instantanés de matière et d'énergie ont d'abord été établis. Une méthodologie a été mise au point pour décrire le système réactionnel correspondant, ceci à l'aide d'une approche hybride molécules/groupements fonctionnels. L'étude de stabilité menée sur le procédé en a montré le caractère instable. A l'aide d'un certain nombre d'expériences, les paramètres cinétiques des réactions principales

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20

Hong, Xia. "Non-linear time series modelling and prediction with radial basis function network based algorithms." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.286888.

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21

Li, Nan. "Digital control strategies for DC/DC SEPIC converters towards integration." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00760064.

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The use of SMPS (Switched mode power supply) in embedded systems is continuously increasing. The technological requirements of these systems include simultaneously a very good voltage regulation and a strong compactness of components. SEPIC ( Single-Ended Primary Inductor Converter) is a DC/DC switching converter which possesses several advantages with regard to the other classical converters. Due to the difficulty in control of its 4th-order and non linear property, it is still not well-exploited. The objective of this work is the development of successful strategies of control for a SEPIC co

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22

Glos, Jan. "Modelování a řízení toků elektrické a tepelné energie v plně elektrických automobilech." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-433039.

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Systematické řízení tepelných a elektrických toků v plně elektrických automobilech se stává velmi důležitým, protože v těchto typech automobilů není k dispozici dostatek odpadního tepla pro vytápění kabiny. Aby v zimním období nedocházelo ke snížení dojezdu, je nutné použití technologií, které umožní snížení spotřeby energie nutné k vytápění kabiny (např. tepelné čerpadlo, zásobník tepla). Je také zapotřebí vytvořit řídicí algoritmy pro tato zařízení, aby byl zajištěn jejich optimální provoz. V letním období je nezbytné řídit tepelné toky v rámci elektromobilu tak, aby nedocházelo k nadměrnému

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23

Ahmed, Mohamed Salem. "Contribution à la statistique spatiale et l'analyse de données fonctionnelles." Thesis, Lille 3, 2017. http://www.theses.fr/2017LIL30047/document.

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Ce mémoire de thèse porte sur la statistique inférentielle des données spatiales et/ou fonctionnelles. En effet, nous nous sommes intéressés à l’estimation de paramètres inconnus de certains modèles à partir d’échantillons obtenus par un processus d’échantillonnage aléatoire ou non (stratifié), composés de variables indépendantes ou spatialement dépendantes.La spécificité des méthodes proposées réside dans le fait qu’elles tiennent compte de la nature de l’échantillon étudié (échantillon stratifié ou composé de données spatiales dépendantes).Tout d’abord, nous étudions des données à valeurs da

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24

Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

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Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, i

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25

Abbas, Muhammad Awais. "Non-linear model predictive control for autonomous vehicles." Thesis, 2011. http://hdl.handle.net/10155/206.

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With the advent of faster computer processors and better optimization algorithms, Model Predictive Control (MPC) systems are more readily used for real-time applications. This research focuses on the application of MPC to trajectory generation of autonomous vehicles in an online manner. The operating environment is assumed to be unknown with various different types of obstacles. Models of simplified 2-D dynamics of the vehicle are developed, discretized and validated against a nonlinear CarSim vehicle model. The developed model is then used to predict future states of the vehicle. The relation

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26

Jin, Yinan. "Bio-inspired design and non-linear model predictive control of a self-aligning gait rehabilitation robot." Doctoral thesis, 2023. https://researchprofiles.canberra.edu.au/en/studentTheses/11b88ea0-a64f-44fb-a436-61f38a68d344.

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27

"The nonlinear modelling and model predictive control of a miniature helicopter UAV." Thesis, 2012. http://hdl.handle.net/10210/5362.

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M.Ing.<br>Linear control system theory is well developed and has lead to a number of control system types with well-defined design methods that can be applied to any linear system. Unfortunately, no system in nature is truly linear. As a result, such non-linear systems must be represented by a linear model that is accurate over some region of the operating states of the system. The success of linear control theory in commercial applications is testament to the fact that some types of systems can be adequately represented by a linear model. However, systems with time-varying dynamics or non-lin

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28

Novi, Tommaso. "A control system framework for autonomous vehicles at the limits of handling." Doctoral thesis, 2019. http://hdl.handle.net/2158/1153793.

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Autonomous Driving (AD) at the limits of handling represents a big technical challenge of which vehicle dynamics and control are at the core. The main complication is the thin line separating the vehicle from operating at its peak performance and underperforming. To evaluate the effect that the decision-making process has on vehicle performance, one can utilise path-following algorithms. In this research, a mathematical framework is developed which studies all areas of the vehicle dynamics and control of a car driving on a given trajectory in non-linear conditions. The framework comprises thre

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29

Rossi, F., F. Manenti, C. Pirola, and Iqbal M. Mujtaba. "A robust sustainable optimization & control strategy (RSOCS) for (fed-)batch processes towards the low-cost reduction of utilities consumption." 2015. http://hdl.handle.net/10454/7964.

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Yes<br>The need for the development of clean but still profitable processes and the study of low environmental impact and economically convenient management policies for them are two challenges for the years to come. This paper tries to give a first answer to the second of these needs, limited to the area of discontinuous productions. It deals with the development of a robust methodology for the profitable and clean management of (fed-)batch units under uncertainty, which can be referred to as a robust sustainability-oriented model-based optimization & control strategy. This procedure is speci

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30

Algoufily, Yasser. "Wastewater Treatment Plant Optimization: Development of Membrane Bioreactor Fouling Monitoring Tool and Prediction of Transmembrane Pressure Using Artificial Neural Networks." Thesis, 2021. http://hdl.handle.net/10754/669084.

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The construction and operation of central wastewater treatment plants started around the 20th century. With the advent of rigorous membrane research and development in the middle of the 20th century, more and more wastewater plants started incorporating a Membrane BioReactor, MBR, in their design. The MBR system however is far from perfect. Membrane systems continuously foul, and if fouling is incurred for a long period of time, maintenance and cleaning costs will rise in proportion. A Fouling monitoring and prediction tool has been designed in MATLAB\Simulink. The model takes states relate

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