Browsing by Author "Hlava Jaroslav"
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- ItemAdaptive Control of Meniscus Velocity in Continuous Caster based on NARX Neural Network Model(Elsevier, 2019-01-01) Abouelazayem Shereen; Hlava Jaroslav; Glavinić Ivan; Wondrak Thomas
- ItemAggregated Control of Electrical Heaters for Ancillary Services Provision(Institute of Electrical and Electronics Engineers Inc IEEE, 2015-01-01) Hlava Jaroslav; Zemtsov Nikita
- ItemApplication of PID controller based on the localization method for ancillary service provision(Institute of Electrical and Electronics Engineers Inc. (IEEE), 2016-01-01) Hlava Jaroslav; Zemtsov Nikita; Frantsuzova Galina
- ItemAutomatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle(MDPI, 2021-01-01) Vu Trieu Minh; Moezzi Reza; Cýrus Jindřich; Hlava Jaroslav; Petrů Michal
- ItemDirect control of a large population of electrical space heaters based on bin state transition model(Institute of Electrical and Electronics Engineers Inc. (IEEE), 2016-01-01) Hlava Jaroslav; Zemtsov Nikita
- ItemEconomic MPC based on LPV model for thermostatically controlled loads(Institute of Electrical and Electronics Engineers Inc., 2017-01-01) Zemtsov Nikita; Hlava Jaroslav; Frantsuzova Galina; Madsen Henrik; Junker, Rune Gronborg; Jørgensen, John BagterpRapid increase of the renewable energy share in electricity production requires optimization and flexibility of the power consumption side. Thermostatically controlled loads (TCLs) have a large potential for regulation service provision. Economic model predictive control (MPC) is an advanced control method which can be used to syncronize the power consumption with undispatchable renewable electricity production. Thermal behavior of TCLs can be described by linear models based on energy balance of the system. In some cases, parameters of the model may be time-varying. In this work, we present a modified economic MPC based on linear parameter-varying model. In particular, we provide an exact transformation from a standard economic MPC formulation to a linear program. We assume that the variables influencing the model parameters are known (predictable) for the prediction horizon of the controller. As a case study, we present control system that minimizes operational cost of swimming pool heating system, where parameters of the model depend on the weather forecast. Simulation results demonstrate that the proposed method is able to deal with this kind of systems.
- ItemEconomic nonlinear MPC for a population of thermostatically controlled loads(Springer Verlag, 2018-01-01) Hlava Jaroslav; Zemtsov Nikita; Frantsuzova Galina; Madsen Henrik; Jørgensen John Bagterp
- ItemElectricity market model for demand response stability analysis based on structural approach to electricity price modelling(Institute of Electrical and Electronics Engineers Inc. IEEE, 2015-01-01) Hlava Jaroslav; Tůma Libor
- ItemExperimental technique to enhance SLAM modelling of autonomous vehicle with Microsoft© Hololens(Czech Society for Mechanics, 2019-01-01) Moezzi Reza; Hlava Jaroslav; Krčmařík David; Kočí Jan
- ItemFeasible Trajectories Generation for Autonomous Driving Vehicles(MDPI, 2021-01-01) Vu Trieu Minh; Moezzi Reza; Cýrus Jindřich; Hlava Jaroslav; Petrů Michal
- ItemFlow Control Based on Feature Extraction in Continuous Casting Process(MDPI, 2020-01-01) Abouelazayem Shereen; Wondrak Thomas; Glavinić Ivan; Hlava Jaroslav
- ItemFlow Control in the Model of a Continuous Caster by Using Contactless Inductive Flow Tomography(Springer International Publishing, 2019-01-01) Glavinić Ivan; Abouelazayem Shereen; Ratajczak Matthias; Eckert Sven; Stefani Frank; Hlava Jaroslav; Wondrak Thomas; Schurmann Dennis
- ItemHybrid SLAM modelling of autonomous robot with augmented reality device(Elsevier, 2020-01-01) Moezzi Reza; Krčmařík David; Hlava Jaroslav; Cýrus Jindřich
- ItemImplementation of X-Parameters Principle for Non-linear Vibroacoustic Membrane Using Two- Port Measurement(INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC, 2019-01-01) Moezzi Reza; Hlava Jaroslav
- ItemModel Predictive Control for Autonomous Driving Vehicles(MDPI, 2021-01-01) Vu Trieu Minh; Moezzi Reza; Cýrus Jindřich; Hlava Jaroslav
- ItemModel predictive control for modeling human gait motions assisted by Vicon technology(International Information and Engineering Technology Association, 2020-01-01) Krčmařík David; Moezzi Reza; Hlava Jaroslav
- ItemMultilinear Model Predictive Control of Solid Oxide Fuel Cell Output Voltage(Institute of Electrical and Electronics Engineers Inc. IEEE, 2015-01-01) Horálek Radek; Hlava Jaroslav
- ItemMultiple model predictive control of grid connected solid oxide fuel cell for extending cell life time(Institute of Electrical and Electronics Engineers Inc. IEEE, 2015-01-01) Horálek Radek; Hlava Jaroslav
- ItemParallel Hybrid Electric Vehicle Modelling and Model Predictive Control(MDPI, 2021-01-01) Vu Trieu Minh; Moezzi Reza; Cýrus Jindřich; Hlava Jaroslav; Petrů Michal
- ItemPower plant steam superheater control system preliminary results and experiences from the field tests(STU, 2017-01-01) Hubka Lukáš; Školník Petr; Hlava JaroslavThis paper describes a newly developed steam superheater control system and its integration into the real power plant control system. The developed control system is based on the principles of the model predictive control. It is intended to replace one part of the existing classical control system that is based on gain scheduled PID controllers. The paper starts with a short description of the controlled plant and then it continues with the description of the predictive controller and its integration into the structure of the existing control system. The main focus is on the results of the functionality tests. The preliminary results hitherto achieved demonstrate the capability of the developed control system and its application potential. However, at the same time, they also show that extensive simulation testing of a controller for such a complex system does not necessarily guarantee perfect control performance and several modifications of the controller will be needed to make it really applicable.