Relevant bibliographies by topics / Online predictive control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Online predictive control'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Online predictive control.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Online predictive control"

1

Wang, Yang, and Stephen Boyd. "Fast Model Predictive Control Using Online Optimization." IFAC Proceedings Volumes 41, no. 2 (2008): 6974–79. http://dx.doi.org/10.3182/20080706-5-kr-1001.01182.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Wang, Yang, and Stephen Boyd. "Fast Model Predictive Control Using Online Optimization." IEEE Transactions on Control Systems Technology 18, no. 2 (2010): 267–78. http://dx.doi.org/10.1109/tcst.2009.2017934.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Lesage-Landry, Antoine, Iman Shames, and Joshua A. Taylor. "Predictive online convex optimization." Automatica 113 (March 2020): 108771. http://dx.doi.org/10.1016/j.automatica.2019.108771.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zhou, Xinran, Zhaosheng Teng, and Xingjun Jiang. "Predictive control using sparse online non-bias LSSVM." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 25, no. 4 (2011): 331–37. http://dx.doi.org/10.3724/sp.j.1187.2011.00331.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Parlos, A. G., Sanjay Parthasarathy, and A. F. Atiya. "Neuro-predictive process control using online controller adaptation." IEEE Transactions on Control Systems Technology 9, no. 5 (2001): 741–55. http://dx.doi.org/10.1109/87.944469.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Trollberg, Olle, Cristian R. Rojas, and Elling W. Jacobsen. "Online constraint adaptation in economic model predictive control." IFAC-PapersOnLine 50, no. 1 (2017): 9065–70. http://dx.doi.org/10.1016/j.ifacol.2017.08.1633.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Amrit, Rishi, James B. Rawlings, and Lorenz T. Biegler. "Optimizing process economics online using model predictive control." Computers & Chemical Engineering 58 (November 2013): 334–43. http://dx.doi.org/10.1016/j.compchemeng.2013.07.015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dobbs, Justin R., and Brandon M. Hencey. "Model predictive HVAC control with online occupancy model." Energy and Buildings 82 (October 2014): 675–84. http://dx.doi.org/10.1016/j.enbuild.2014.07.051.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wang, Jian Bo, Wen Ying Liu, Wei Zhou Wang, Fu Chao Liu, and Xi Wei Jiang. "An Online Rolling Dispatch Optimization Strategy for the Access of Intermittent New Energy." Applied Mechanics and Materials 672-674 (October 2014): 190–94. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.190.

Full text
Abstract:
For the volatility and intermittency of intermittent new energy like wind power, traditional dispatch model and technology are severely challenged. According to the characteristics that the prediction accuracy of wind power increases as time scale increases, this paper presents a multi-time scale active power dispatch model based on the traditional dispatch model, and proposes an active power dispatch hierarchical predicting control method on the base of model predictive control and multilevel hierarchical control during industrial control course. Finally, it gets the online rolling dispatch model and strategy for the access of intermittent energy.
APA, Harvard, Vancouver, ISO, and other styles
10

Rodríguez, Carlos, Jose Luis Guzman, Francisco Rodríguez, Manuel Berenguel, and Manuel R. Arahal. "Diurnal greenhouse temperature control with predictive control and online constrains mapping." IFAC Proceedings Volumes 43, no. 1 (2010): 140–45. http://dx.doi.org/10.3182/20100329-3-pt-3006.00027.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Online predictive control"

1

Bangalore, Narendranath Rao Amith Kaushal. "Online Message Delay Prediction for Model Predictive Control over Controller Area Network." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78626.

Full text
Abstract:
Today's Cyber-Physical Systems (CPS) are typically distributed over several computing nodes communicating by way of shared buses such as Controller Area Network (CAN). Their control performance gets degraded due to variable delays (jitters) incurred by messages on the shared CAN bus due to contention and network overhead. This work presents a novel online delay prediction approach that predicts the message delay at runtime based on real-time traffic information on CAN. It leverages the proposed method to improve control quality, by compensating for the message delay using the Model Predictive Control (MPC) algorithm in designing the controller. By simulating an automotive Cruise Control system and a DC Motor plant in a CAN environment, it goes on to demonstrate that the delay prediction is accurate, and that the MPC design which takes the message delay into consideration, performs considerably better. It also implements the proposed method on an 8-bit 16MHz ATmega328P microcontroller and measures the execution time overhead. The results clearly indicate that the method is computationally feasible for online usage.<br>Master of Science
APA, Harvard, Vancouver, ISO, and other styles
2

Sherikov, Alexander. "Model predictive control of a walking bipedal robotusing online optimization." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-25727.

Full text
Abstract:
Humanoid robotics is a challenging and promising research field. Legged locomotion is one of the most important aspects of it. In spite of the progress achieved in the last years in control of walking robots, many problems are yet to be resolved. The inherent complexity of such robots makes their control a difficult task even on the modern hardware. In order to address this issue approximate models and high performance algorithms are employed. This thesis is focused on the model predictive control of a walking bipedal robot, which is approximated by an inverted pendulum, using online optimization. A special emphasis is made on the solvers that exploit the structure of quadratic optimization problems in the context of model predictive control. Two methods for solution of these problems are implemented: primal active set and primal logarithmic barrier methods. They are tested and compared in a simulation and on a humanoid robot. A software module for control of the Nao humanoid robot is developed for this purpose.
APA, Harvard, Vancouver, ISO, and other styles
3

Cho, B. "Control of a hybrid electric vehicle with predictive journey estimation." Thesis, Cranfield University, 2008. http://hdl.handle.net/1826/2589.

Full text
Abstract:
Battery energy management plays a crucial role in fuel economy improvement of charge-sustaining parallel hybrid electric vehicles. Currently available control strategies consider battery state of charge (SOC) and driver’s request through the pedal input in decision-making. This method does not achieve an optimal performance for saving fuel or maintaining appropriate SOC level, especially during the operation in extreme driving conditions or hilly terrain. The objective of this thesis is to develop a control algorithm using forthcoming traffic condition and road elevation, which could be fed from navigation systems. This would enable the controller to predict potential of regenerative charging to capture cost-free energy and intentionally depleting battery energy to assist an engine at high power demand. The starting point for this research is the modelling of a small sport-utility vehicle by the analysis of the vehicles currently available in the market. The result of the analysis is used in order to establish a generic mild hybrid powertrain model, which is subsequently examined to compare the performance of controllers. A baseline is established with a conventional powertrain equipped with a spark ignition direct injection engine and a continuously variable transmission. Hybridisation of this vehicle with an integrated starter alternator and a traditional rule-based control strategy is presented. Parameter optimisation in four standard driving cycles is explained, followed by a detailed energy flow analysis. An additional potential improvement is presented by dynamic programming (DP), which shows a benefit of a predictive control. Based on these results, a predictive control algorithm using fuzzy logic is introduced. The main tools of the controller design are the DP, adaptive-network-based fuzzy inference system with subtractive clustering and design of experiment. Using a quasi-static backward simulation model, the performance of the controller is compared with the result from the instantaneous control and the DP. The focus is fuel saving and SOC control at the end of journeys, especially in aggressive driving conditions and a hilly road. The controller shows a good potential to improve fuel economy and tight SOC control in long journey and hilly terrain. Fuel economy improvement and SOC correction are close to the optimal solution by the DP, especially in long trips on steep road where there is a large gap between the baseline controller and the DP. However, there is little benefit in short trips and flat road. It is caused by the low improvement margin of the mild hybrid powertrain and the limited future journey information. To provide a further step to implementation, a software-in-the-loop simulation model is developed. A fully dynamic model of the powertrain and the control algorithm are implemented in AMESim-Simulink co-simulation environment. This shows small deterioration of the control performance by driver’s pedal action, powertrain dynamics and limited computational precision on the controller performance.
APA, Harvard, Vancouver, ISO, and other styles
4

Gäärd, Peter. "Kappa Control with Online Analyzer Using Samples from the Digester's Mid-phase." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2209.

Full text
Abstract:
<p>In the pulp industry, digesters are used to disolve lignin in wood chips. The concentration of lignin is measured and is called the Kappa number. In this thesis, the question of whether an online Kappa sensor, taking samples from the mid-phase of the digester, is useful or not is analyzed. For the samples to be useful, there has to be a relationship between the measured Kappa at the mid- phase and the measured Kappa in the blowpipe at the bottom of the digester. An ARX model of the lower part of the digester has been estimated. Despite a lot of noise, it seems that it might be possible to use the mid-phase samples and for this model predict the blowpipe flow Kappa signal. It is concluded that the mid-phase samples should be further improved to be more useful. The mid-phase samples have also been used in another ARX model, this time to LP-filter these values without time loss. </p><p>Another important issue has been to examine if the existing controller is good or not. In order to be able to compare it with other controllers, a simulator has been created in MATLAB - Simulink. Test results from this simulator show that the existing controller's use of the mid-phase Kappa samples improves its performance. For a simplified digester model, the existing controller has also been compared with an MPC controller. This test shows that the MPC controller is significantly better. Hence, the conclusion in this thesis is that it might be interesting to study MPC further using a more advanced model.</p>
APA, Harvard, Vancouver, ISO, and other styles
5

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/.

Full text
Abstract:
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 obtido através da inclusão do gradiente reduzido do objetivo econômico, na função objetivo do controlador preditivo. Esta abordagem foi testada inicialmente através da simulação do conjunto reator regenerador de uma Unidade de Craqueamento Catalítico Fluido (UFCC). O controlador otimizador foi implementado com sucesso em uma coluna de destilação de tolueno, na Unidade de Recuperação de Aromáticos da refinaria de Cubatão da Petrobras. Este controlador está em funcionamento contínuo por cerca de um ano, sem qualquer problema relatado. Para a determinação das condições ótimas, um modelo rigoroso de coluna de destilação multicomponentes no estado estacionário é incluído no controlador preditivo para permitir o cálculo online do objetivo econômico. A trajetória prevista para o sistema de destilação até o ponto ótimo é calculada utilizando-se um modelo linear dinâmico, o qual foi obtido através de testes em degrau na planta real. O ponto ótimo obtido através da estratégia proposta leva em consideração as restrições nas entradas manipuladas e a faixa de controle para as saídas. O problema de otimização resultante para cálculo das ações de controle é uma QP, que pode ser facilmente resolvida com os solvers disponíveis. O MPC com otimização econômica foi implementado como um módulo do pacote SICON (Sistema de Controle da Petrobras).<br>This thesis was mainly aimed at the implementation of a new strategy for the integration of real time optimization (RTO) with multivariable predictive control in an industrial process system. The proposed strategy can be considered as a one-layer strategy where the control and economic optimization problems are solved simultaneously in the same layer of the control structure. Assuming that the economic objective to be maximized (minimized) is a concave (convex) function of the process inputs and outputs, the optimizing model predictive control (OMPC) was obtained through the inclusion of the reduced gradient of the economic objective in the control objective of the predictive controller. The approach was initially tested through the simulation of the reactorregenerator of a Fluid Catalytic Cracking Unit (FCCU). The optimizing controller has been successfully implemented in a toluene distillation column at the Aromatic Recovery Unit of the Cubatão refinery of Petrobras. This controller has been in continuous operation for about one year without any reported problem. For determining the optimum operating conditions, a steady-state rigorous multicomponent distillation model is included in the predictive controller to allow the on-line computation of the economic objective. The predicted trajectory of the distillation system towards the optimum point is computed with a linear dynamic model that was obtained through step tests in the real plant. The optimum point that is achieved with the proposed strategy takes into account the constraints in the manipulated inputs and the zone control of the outputs. The resulting optimization problem that produces the control actions is a QP that can be easily solved with available solvers. The optimizing MPC was implemented as a module of the SICON (Petrobras Control System) package.
APA, Harvard, Vancouver, ISO, and other styles
6

Homsi, Saed Al. "Online generation of time- optimal trajectories for industrial robots in dynamic environments." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT027/document.

Full text
Abstract:
Nous observons ces dernières années un besoin grandissant dans l’industrie pour des robots capables d’interagir et de coopérer dans des environnements confinés. Cependant, aujourd’hui encore, la définition de trajectoires sûres pour les robots industriels doit être faite manuellement par l’utilisateur et le logiciel ne dispose que de peu d’autonomie pour réagir aux modifications de l’environnement. Cette thèse vise à produire une structure logicielle innovante pour gérer l’évitement d’obstacles en temps réel pour des robots manipulateurs évoluant dans des environnements dynamiques. Nous avons développé pour cela un algorithme temps réel de génération de trajectoires qui supprime de façon automatique l’étape fastidieuse de définition d’une trajectoire sûre pour le robot.La valeur ajoutée de cette thèse réside dans le fait que nous intégrons le problème de contrôle optimal dans le concept de hiérarchie de tâches pour résoudre un problème d’optimisation non-linéaire efficacement et en temps réel sur un système embarqué aux ressources limitées. Notre approche utilise une commande prédictive (MPC) qui non seulement améliore la réactivité de notre système mais présente aussi l’avantage de pouvoir produire une bonne approximation linéaire des contraintes d’évitement de collision. La stratégie de contrôle présentée dans cette thèse a été validée à l’aide de plusieurs expérimentations en simulations et sur systèmes réels. Les résultats démontrent l’efficacité, la réactivité et la robustesse de cette nouvelle structure de contrôle lorsqu’elle est utilisée dans des environnements dynamiques<br>In the field of industrial robots, there is a growing need for having cooperative robots that interact with each other and share work spaces. Currently, industrial robotic systems still rely on hard coded motions with limited ability to react autonomously to dynamic changes in the environment. This thesis focuses on providing a novel framework to deal with real-time collision avoidance for robots performing tasks in a dynamic environment. We develop a reactive trajectory generation algorithm that reacts in real time, removes the fastidious optimization process which is traditionally executed by hand by handling it automatically, and provides a practical way of generating locally time optimal solutions.The novelty in this thesis is in the way we integrate the proposed time optimality problem in a task priority framework to solve a nonlinear optimization problem efficiently in real time using an embedded system with limited resources. Our approach is applied in a Model Predictive Control (MPC) setting, which not only improves reactivity of the system but presents a possibility to obtain accurate local linear approximations of the collision avoidance constraint. The control strategies presented in this thesis have been validated through various simulations and real-world robot experiments. The results demonstrate the effectiveness of the new control structure and its reactivity and robustness when working in dynamic environments
APA, Harvard, Vancouver, ISO, and other styles
7

Soares, Paulo da Silva 1966. "Sistema de avaliação preditiva de falhas em máquinas elétricas usando lógica fuzzy com análise dos parâmetros de vibração, corrente e temperatura." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/260877.

Full text
Abstract:
Orientador: José Antonio Siqueira Dias<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-25T04:25:15Z (GMT). No. of bitstreams: 1 Soares_PaulodaSilva_D.pdf: 5062177 bytes, checksum: b08acd7cd74b46ed7ade778b2cbed7cf (MD5) Previous issue date: 2014<br>Resumo: Neste trabalho é apresentado o desenvolvimento de um sistema de baixo custo para monitoração e acompanhamento de equipamentos industriais com vistas à manutenção preditiva. O sistema desenvolvido monitora a vibração do elemento em estudo, e faz o registro da mesma comparando-se a um padrão de vibração considerado nominal, ou seja, uma condição de operação satisfatória da máquina. Quando uma variação na vibração do dispositivo monitorado é identificada, há de se observar seu comportamento, não só de amplitude mas também no espectro de frequência, pois geralmente a incidência de falhas ou anomalias apresentam vibrações em frequências diferentes da nominal de trabalho de um dispositivo. A Transformada de Fourier do sinal e os registros de leituras frequentes nos permitem um acompanhamento contínuo do equipamento monitorado. Adicionalmente ao acompanhamento da vibração mecânica, faz-se o monitoramento da corrente elétrica do motor de acionamento do elemento para observância de eventual sobrecarga, desequilíbrio das fases e análise do espectro de frequência do sinal elétrico de corrente, que nos permite avaliar as alterações na alimentação do mesmo, indicando alguma anomalia de natureza elétrica ao motor em estudo. Por fim ainda monitora-se a temperatura dos elementos em estudo, pois a vida útil destes depende das temperaturas a que são submetidos em regime de operação que têm impacto direto em isolamentos de bobinas e lubrificantes das partes mecânicas. Este sistema permite uma avaliação de uma máquina, sem intervenção humana para as medições de vibração e elétricas, aliado ao histórico levantado, torna-se uma ferramenta poderosa para a implementação de um programa de manutenção preditiva<br>Abstract: This work aims to develop a low-cost system for monitoring and tracking of industrial equipment with a view to predictive maintenance. It presents a system that monitors vibration of the recording studied element comparing the same to a vibration pattern considered nominal. When it detects a change in the vibration of the device is to observe their behavior, not only amplitude but in the frequency spectrum, usually because the incidence of faults or anomalies exhibit vibrations at different frequencies of nominal working of a device. The Fourier transform of the signal and records of frequent readings allow to close monitoring of the element under study. In addition to monitoring the mechanical vibration, it is monitoring the electrical current of the motor drive element for compliance with any overload, phase imbalance and even the analysis of spectro signal frequency electric current, which allows us to evaluate changes feeding the same, indicating an abnormality of the electric motor in nature study. Finally even monitor the temperature of the elements under study, because the life of these depends on the temperatures to which they are subjected in operation regime that have direct impact on coil insulation and lubricants of the mechanical parts. This system permits an automatic evaluation of the condition of a machine, without human intervention for measurement of vibration and electrical therein, together with the historical raised, becomes a powerful tool for industry implementation of a predictive maintenance program<br>Doutorado<br>Eletrônica, Microeletrônica e Optoeletrônica<br>Doutor em Engenharia Elétrica
APA, Harvard, Vancouver, ISO, and other styles
8

Asgharzadeh, Shishavan Reza. "Nonlinear Estimation and Control with Application to Upstream Processes." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5291.

Full text
Abstract:
Subsea development and production of hydrocarbons is challenging due to remote andharsh conditions. Recent technology development with high speed communication to subsea anddownhole equipment has created a new opportunity to both monitor and control abnormal or undesirableevents with a proactive and preventative approach rather than a reactive approach. Twospecific technology developments are high speed, long-distance fiber optic sensing for productionand completion systems and wired pipe for drilling communications. Both of these communicationsystems offer unprecedented high speed and accurate sensing of equipment and processes that aresusceptible to uncontrolled well situations, leaks, issues with flow assurance, structural integrity,and platform stability, as well as other critical monitoring and control issues. The scope of thisdissertation is to design monitoring and control systems with new theoretical developments andpractical applications. For estimators, a novel `1-norm method is proposed that is less sensitiveto data with outliers, noise, and drift in recovering the true value of unmeasured parameters. Forcontrollers, a similar `1-norm strategy is used to design optimal control strategies that utilize a comprehensivedesign with multivariate control and nonlinear dynamic optimization. A framework forsolving large scale dynamic optimization problems with differential and algebraic equations is detailedfor estimation and control. A first area of application is in fiber optic sensing and automationfor subsea equipment. A post-installable fiber optic clamp is used to transmit structural informationfor a tension leg platform. A proposed controller automatically performs ballast operationsthat both stabilize the floating structure and minimize fatigue damage to the tendons that hold thestructure in place. A second area of application is with managed pressure drilling with movinghorizon estimation and nonlinear model predictive control. The purpose of this application is tomaximize rate of drilling penetration, maintain pressure in the borehole, respond to unexpected gasinflux, detect cuttings loading and pack-off, and better manage abnormal events with the drillingprocess through automation. The benefit of high speed data accessibility is quantified as well asthe potential benefit from a combined control strategy versus separate controllers.
APA, Harvard, Vancouver, ISO, and other styles
9

Åfeldt, Tom. "Adaptive Steering Behaviour for Heavy Duty Vehicles." Thesis, KTH, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215134.

Full text
Abstract:
Today the majority of the driver assistance systems are rule-basedcontrol systems that help the driver control the truck. But driversare looking for something more personal and exible that can controlthe truck in a human way with their own preferences. Machine learningand articial intelligence can help achieve this aim. In this studyArticial Neural Networks are used to model the driver steering behaviourin the Scania Lane Keeping Assist. Based on this, trajectoryplanning and steering wheel torque response are modelled to t thedriver preference. A model predictive controller can be used to maintainstate limitations and to weigh the two modelled driver preferencestogether. Due to the diculties in obtaining an internal plant modelfor the model predictive controller a variant of a PI-controller is addedfor integral action instead. The articial neural network also containsan online learning feature to further customize the t to the driverpreference over time.<br>Idag används till största del regelbaserade reglersystem förförarassistanssystem i lastbilar. Men lastbilschaufförer vill ha någotmer personligt och flexibelt, som kan styra lastbilen på ett mänskligtsätt med förarens egna preferenser. Maskininlärning och artificiell intelligenskan hjälpa till för att uppnå detta mål. I denna studie användsartificiella neurala nätverk för att modellera förarens styrbeteende genomScania Lane Keeping Assist. Med användning av detta modellerasförarens preferenser med avseende på placering på vägbanan och momentpåslag på ratten. En modell prediktiv kontroller kan användas föratt begränsa tillstånd och för att väga de två modellerade preferensernamot varann. Eftersom det var mycket svårt att ta fram den internaprocessmodellen som krävdes för regulatorn används istället en variantav en PI-kontroller för att styra lastbilen. De artificiella neuralanätverken kan också tillåtas att lära sig under körning för att anpassasig till förarens preferenser över tid.
APA, Harvard, Vancouver, ISO, and other styles
10

Qian, Jun. "Identification paramétrique en boucle fermée par une commande optimale basée sur l’analyse d’observabilité." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10113/document.

Full text
Abstract:
Dans un objectif conjoint d'identification paramétrique en ligne, les méthodes développées dans cette thèse permettent de concevoir en ligne et en boucle fermée les entrées optimales qui enrichissent les informations contenues dans l'expérience en cours. Ces méthodes reposent sur des mesures en temps réel du procédé, sur un modèle dynamique non linéaire (ou linéaire) multi-variable choisi du procédé, sur un modèle de sensibilité des mesures par rapport aux paramètres à estimer et sur un observateur non linéaire. L'analyse de l'observabilité et des techniques de commande prédictive permettent de définir la commande optimale qui est déterminée en ligne par optimisation sous contraintes. Des aspects de stabilisation sont également étudiés (via un apport de contraintes fictives ou via une technique de Lyapunov). Enfin, une loi de commande explicite pour le cas particulier du système d'ordre un est développée. Des exemples illustratifs sont traités via le logiciel ODOE4OPE : un bioréacteur, un réacteur continu parfaitement agité et une aile delta. Ces exemples permettent de voir que l'estimation des paramètres peut être réalisée avec une bonne précision, et à moindre coût expérimental en une expérience<br>For online parameter identification, the developed methods here allow to design online and in closed loop optimal inputs that enrich the information in the current experience. These methods are based on real-time measurements of the process, on a dynamic nonlinear (or linear) multi-variable model, on a sensitivity model of measurements with respect to the parameters to be estimated and a nonlinear observer. Analysis of observability and predictive control techniques are used to define the optimal control which is determined online by constrained optimization. Stabilization aspects are also studied (by adding fictitious constraints or by a Lyapunov technique). Finally, for the particular case of a first order linear system, the explicit control law is developed. Illustrative examples are processed via the ODOE4OPE software : a bio-reactor, a continuous stirred tank reactor and a delta wing. These examples help to see that the parameter estimation can be performed with good accuracy in a single and less costly experiment
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Online predictive control"

1

Vaez-Zadeh, Sadegh. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198742968.003.0001.

Full text
Abstract:
An overview of permanent magnet synchronous (PMS) motors and the related control system are presented in this chapter as introductory materials for the rest of the book. The interconnections of the control system to the power electronic inverter and the motor are emphasized. In addition, the major parts of the system are overviewed. Pulse width-modulated voltage source inverter, as the most commonly used power converter in PMS motor drives, is briefly discussed. PMS motors configurations and operating principles are also presented after considering characteristics of permanent magnet materials. Major PMS motor control methods including vector control, direct torque control, predictive control, deadbeat control, and combined vector and direct torque control are briefly reviewed. Finally, several rotor position and speed estimation schemes, and offline and online parameter estimation methods are overviewed.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Online predictive control"

1

Declerck, Philippe. "Online Aspect of Predictive Control." In Discrete Event Systems in Dioid Algebra and Conventional Algebra. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118579688.ch5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Karer, Gorazd, and Igor Škrjanc. "Self-adaptive Predictive Control with an Online Local-Linear-Model Identification." In Predictive Approaches to Control of Complex Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33947-9_13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yanqing, Hu, Bin Yan, Zhang Shumei, Ting Yan, and Lin Yang. "Online Regenerative Braking Predictive Control for Hybrid Electric Bus." In Lecture Notes in Electrical Engineering. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4850-0_22.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sarath Yadav, Eadala, Indiran Thirunavukkarasu, and Selvanathan Shanmuga Priya. "Online Implementation of Cascade Predictive PI Control for Nonlinear Processes." In Advances in Communication, Devices and Networking. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4932-8_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Diehl, Moritz, Ilknur Uslu, Rolf Findeisen, et al. "Real-Time Optimization for Large Scale Processes: Nonlinear Model Predictive Control of a High Purity Distillation Column." In Online Optimization of Large Scale Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04331-8_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kronseder, Thomas, Oskar von Stryk, Roland Bulirsch, and Andreas Kröner. "Towards Nonlinear Model-Based Predictive Optimal Control of Large-Scale Process Models with Application to Air Separation Plants." In Online Optimization of Large Scale Systems. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04331-8_21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Iplikci, Serdar. "Online Stabilization of Chaotic Maps Via Support Vector Machines Based Generalized Predictive Control." In Artificial Neural Networks – ICANN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11840817_90.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wang, Jiaming, Tianyi Zhao, and Meng Xu. "Multivariable Linear Regression Model for Online Predictive Control of a Typical Chiller Plant System." In Environmental Science and Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9524-6_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Costantini, Giuliano, Ramin Rostami, and Daniel Görges. "Online Trajectory Planning and Collision Avoidance for a Group of Robots Using Distributed Model Predictive Control." In Advances in Service and Industrial Robotics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19648-6_28.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Fu, Wai-Tat, and Vera Liao. "Crowdsourcing Quality Control of Online Information: A Quality-Based Cascade Model." In Social Computing, Behavioral-Cultural Modeling and Prediction. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19656-0_23.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Online predictive control"

1

Kostadinov, Dimche, and Davide Scaramuzza. "Online Weight-adaptive Nonlinear Model Predictive Control." In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2020. http://dx.doi.org/10.1109/iros45743.2020.9341495.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Abels, H. A., T. F. Baars, Y. Wang, A. Alharbi, J. E. A. Storms, and A. W. Martinius. "Implementing Orbital Climate Control on Alluvial Stratigraphy in Subsurface Predictive Models." In EAGE 2020 Annual Conference & Exhibition Online. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202011750.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Keunmo Kang and Robert R. Bitmead. "Online reference computation for feasible model predictive control." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434101.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Wagener, Nolan, Ching-an Cheng, Jacob Sacks, and Byron Boots. "An Online Learning Approach to Model Predictive Control." In Robotics: Science and Systems 2019. Robotics: Science and Systems Foundation, 2019. http://dx.doi.org/10.15607/rss.2019.xv.033.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zhiyong, Du, and Wang Xianfang. "Nonlinear Generalized Predictive Control Based on Online SVR." In 2008 Second International Symposium on Intelligent Information Technology Application (IITA). IEEE, 2008. http://dx.doi.org/10.1109/iita.2008.373.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Parlos, A. G., S. Parthasarathy, and A. F. Atiya. "Neuro-predictive process control using online controller adaptation." In Proceedings of 2000 American Control Conference (ACC 2000). IEEE, 2000. http://dx.doi.org/10.1109/acc.2000.879584.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Jost, Michael, and Martin Monnigmann. "Accelerating model predictive control by online constraint removal." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6760798.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Rao, Amith Kaushal, and Haibo Zeng. "Online message delay prediction for model predictive control over controller area network." In 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). IEEE, 2017. http://dx.doi.org/10.1109/iccad.2017.8203776.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wang, Jing, Yan Wang, and Dimitar Filev. "An Online Model Predictive Control Framework for Robot Driver Speed Control." In ASME 2018 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/dscc2018-8957.

Full text
Abstract:
In this paper, we present an online adaptive model predictive control (MPC) method for the robot driver speed control problem. The control structure contains three essential components: a regularized least square method to identify a time varying state space model for the vehicle system; a Kalman Filter (KF) to identify the internal states of the model; and a model predictive controller (MPC) to generate the control input based on properly constructed optimization objective and constraints. We cast the robot driver speed tracking problem as an acceleration tracking problem which we solve as an optimization problem with time varying constraints that are dependent on vehicle speed and acceleration. Simulation results on the FTP city drive cycle shows that the proposed approach has good speed tracking capability with minimal calibration efforts. and the controller is adaptive to variation on vehicle weight without degrading control performance.
APA, Harvard, Vancouver, ISO, and other styles
10

Werling, Moritz, and Darren Liccardo. "Automatic collision avoidance using model-predictive online optimization." In 2012 IEEE 51st Annual Conference on Decision and Control (CDC). IEEE, 2012. http://dx.doi.org/10.1109/cdc.2012.6426612.

Full text
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography