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Model Predictive Control in Greenhouses
, 2022 It is a somewhat general consensus that the agricultural production process has begun over 12,000 years ago somewhere in the Middle East region. The development of this activity can be explained in several ways, but all boils down to the necessity of hunter-gatherer-based humans to reduce their dependence on the whims of nature.
Coelho, João Paulo +1 more
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Model Predictive Control for Linear Impulsive Systems [PDF]
, 2012 Linear Impulsive Control Systems have been extensively studied with respect to their equilibrium points which, in most cases, are no other than the origin.
Panagiotis Patrinos +9 more
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On output feedback nonlinear model predictive control using high gain observers for a class of systems [PDF]
, 2001 In recent years, nonlinear model predictive control schemes have been derived that guarantee stability of the closed loop under the assumption of full state information.
Imsland, L. +10 more
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A FRACTIONAL MODEL PREDICTIVE CONTROL DESIGN FOR 2-D GANTRY CRANE SYSTEM [PDF]
Journal of Engineering Science and Technology, 2018 Fractional calculus has been a research focus since the last four decades to control the dynamical systems. Advances in fractional calculus such as Fractional Model Predictive Control had shown that system dynamics could be controlled even more ...
ABHAYA P. SINGH, H. AGRAWAL
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APPLICATION OF MODEL PREDICTIVE CONTROL (MPC) TUNING STRATEGY IN MULTIVARIABLE CONTROL OF DISTILLATION COLUMN [PDF]
, 2007 A model predictive control strategy is proposed for multivariable nonlinear control problem in a distillation column. The aim is to provide a solution to nonlinear control problem that is favorable in terms of industrial implementation.
Wahid, A., Ahmad, A., A. Wahid, A. Ahmad
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Parallelized model predictive control [PDF]
2013 American Control Conference, 2013 Model predictive control (MPC) has been used in many industrial applications because of its ability to produce optimal performance while accommodating constraints. However, its application on plants with fast time constants is difficult because of its computationally expensive algorithm. In this research, we propose a parallelized MPC that makes use of
Damoon Soudbakhsh, Anuradha M. Annaswamy
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Model Predictive Control for Power Electronics Applications [PDF]
, 2019 Power electronics converters use switching elements to manipulate voltage and current waveforms. This enables the interconnection of components having different requirements, e.g., when incorporating renewable energy sources into the grid.
Quevedo, DE +2 more
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Model predictive control for gust load alleviation [PDF]
, 2012 For economical and ecological reasons aircraft are required to become more efficient by reducing fuel consumption and CO2 emissions. One way to achieve these objectives is to decrease the weight of the aircraft structure.
Giesseler, Hans Gerd +4 more
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Finite control set model predictive torque control using sliding model control for induction motors
CES Transactions on Electrical Machines and Systems, 2021 Finite control set model predictive torque control (FCS-MPTC) has become increasingly prevalent for induction motors (IM) owing to its simple concept, easy incorporation of constraints and strong flexibility.
Yanqing Zhang +4 more
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Hybrid Data-Enabled Predictive Control: Incorporating Model Knowledge Into the DeePC
IEEE Open Journal of Control SystemsPredictive control can either be data-based (e.g. data-enabled predictive control, or DeePC) or model-based (model predictive control). In this paper we aim to bridge the gap between the two by investigating the case where only a partial model is ...
Jeremy D. Watson
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