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Model predictive control

Adaptive model predictive control

Adaptive model predictive control

... are control problems whereby the reference trajectory is not known a priori but de- pends on the unknown parameters of the system ...adaptive control approaches lies with the ability to recover the true ...

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Model predictive control of hydrogen production by renewable energy

Model predictive control of hydrogen production by renewable energy

... advanced control strategy is presented here, to connect/disconnect components, depending on the amount of energy ...of model predictive ...proposed control strategy and Section IV the ...

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Non linear Model Predictive Control for cooling strings of superconducting magnets using superfluid helium

Non linear Model Predictive Control for cooling strings of superconducting magnets using superfluid helium

... Non-linear Model Predictive Control (NMPC) is an extension of the feedback implementation approach used on MPC to a general non-linear constrained optimal control problem ...feedback ...

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Model predictive control of a multilevel current source inverter together with its current source

Model predictive control of a multilevel current source inverter together with its current source

... a Model Predictive Control (MPC) strategy is applied to a Multilevel Current Source Inverter (MCSI) and its associated current ...discrete-time model of the entire system in order to predict ...

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Temperature regulation of a pilot-scale batch reaction system via explicit model predictive control

Temperature regulation of a pilot-scale batch reaction system via explicit model predictive control

... temperature control of a pilot-scale batch reaction system by means of the design of an explicit model predictive control ...ARX model has been developed to ease the calculations aiming ...

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Model predictive control based on machine learning techniques for paste tailing production

Model predictive control based on machine learning techniques for paste tailing production

... process control is Model Predictive Control ...process control problem in the time ...optimal control, stochastic control, control of processes with dead time, ...

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Model Predictive Control Implementation for the Ocean Grazer Wave Energy Converter with a port Hamiltonian Model

Model Predictive Control Implementation for the Ocean Grazer Wave Energy Converter with a port Hamiltonian Model

... a model described in ...efficient control strategy. A first non- linear control design was proposed by [13] used the single-piston pump approximation and a model predictive ...

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Advanced control strategies of induction machine: Field oriented control, direct torque control and model predictive control

Advanced control strategies of induction machine: Field oriented control, direct torque control and model predictive control

... [7]. Model predictive control (MPC) is an ideal ...mathematical model of the system, the historic control actions and the optimization of cost function over a receding prediction ...

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Model Predictive Control (MPC) for the Power Converters for Renewable Energy Generation Systems with Switch Fault Tolerance Capability

Model Predictive Control (MPC) for the Power Converters for Renewable Energy Generation Systems with Switch Fault Tolerance Capability

... Model predictive control (MPC) is a very powerful control strategy which has been employed in power converters in recent ...This control can bring many advantages to the system such as ...

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Model predictive control aplicado al control de sistemas de potencia

Model predictive control aplicado al control de sistemas de potencia

... de control que no agreguen inestabilidades al sistema de ...estrategia Model Predictive Control es una de las técnicas novedosas que se basa en modelos lineales de los sistemas de potencia ...

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A robust optimization-based model predictive control of the energy management within grid-connected microgrids

A robust optimization-based model predictive control of the energy management within grid-connected microgrids

... deterministic model for the microgrid system, where every nonlinear con- straint is linearized so that a MILP problem is achieved; section ...a model that provides optimal solutions while remaining feasible ...

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Implementación de model predictive control en sistemas multivariables

Implementación de model predictive control en sistemas multivariables

... de control adaptativo desarrollando estrategias esencialmente para procesos monovariables formulados con modelos de función de transferencia (para los cuales se requieren menos parámetros en la identificación del ...

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Real time strategies for an electric vehicle aggregator to provide ancillary services

Real time strategies for an electric vehicle aggregator to provide ancillary services

... This work (1) develops a real-time charging controller to operate a fleet of EVs par- ticipating in the AS market and (2) assesses the importance of accurately describing battery efficiency and forecasted EV availability ...

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Control of six-phase voltage source converters  using dynamic voltage vectors

Control of six-phase voltage source converters using dynamic voltage vectors

... field-oriented control (FOC) the regulation of the secondary 𝑥-𝑦 currents was achieved with the inclusion of some additional proportional-integer (PI) controllers [10], ...torque control (DTC) and ...

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Control systems of offshore hydrogen production by renewable energies

Control systems of offshore hydrogen production by renewable energies

... a control system to balance the energy provided from renewable sources and the energy consumed by the components of the installation (reverse osmosis, hydrogen production, storage, ...advanced control ...

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MULTIOBJETIVE FINITE CONTROL SET MODEL PREDICTIVE TORQUE AND STATOR FLUX CONTROL OF AN INDUCTION MACHINE

MULTIOBJETIVE FINITE CONTROL SET MODEL PREDICTIVE TORQUE AND STATOR FLUX CONTROL OF AN INDUCTION MACHINE

... the control techniques that consider power converters as hybrid systems, Finite Control Set Model Predictive Control (FCS-MPC), has been rising as a promising control technique ...

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Unannounced meal analysis of the ARG algorithm

Unannounced meal analysis of the ARG algorithm

... several control strategies to automatically regulate the blood glucose (BG) level have been proposed by the scientific community, being most of them based on model predictive control (MPC) ...

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Control predictivo sobre un convertidor flyback para determinar el punto de máxima potencia de un sistema fotovoltaico

Control predictivo sobre un convertidor flyback para determinar el punto de máxima potencia de un sistema fotovoltaico

... de control que permiten lograr mejores eficiencias y disminuir las p´ erdidas [30] − ...de control para las variaciones en la entrada no est´ an completamente ...El control predictivo de modelos o ...

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Influence of vulnerability factors in panic disorder severity

Influence of vulnerability factors in panic disorder severity

... the predictive value for panic severity of three well-based vulnerability factors: personality traits (neuroticism and extraversion; NEO-PI-R), anxiety sensitivity (ASI), and perceived control ...the ...

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Normal values of the maximal respiratory pressures in healthy people older than 20 Years old in the city of Manizales – Colombia

Normal values of the maximal respiratory pressures in healthy people older than 20 Years old in the city of Manizales – Colombia

... according to WHO standards (31). For the measurement of maxi- mal respiratory pressures, a pressure gauge (MICROMEDICAL RPM brand, Micro Medical Limited, PO Box 6, Rochester, Kent ME1 2AZ UK), with a previous vacuum ...

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