Results 121 to 130 of about 7,205 (166)

Comparison of metaheuristic algorithms set-point tracking-based weight optimization for model predictive control. [PDF]

Sci Rep
Nassereddine K, Turzynski M.
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Real-time implementation of Model Predictive Control (MPC)

, 2001
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Model Predictive Control (MPC) for Building Optimal Temperature Control

SSRN Electronic Journal, 2018
The model predictive control (MPC) for optimal temperature control in building is designed in order to reduce the energy consumption while respecting occupant comfort, assuming that the comfort in this work is defined by a reference temperature. MPC is developed and applied first to a simplified case where no disturbance is considered then a measured ...
Jarrou, Abderrahmane, Sauter, Dominique, Chouri, Brahim, Alami, Karim, Ailane, Abdellah   +4 more
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Real time optimization (RTO) with model predictive control (MPC)

Computers & Chemical Engineering, 2009
This paper studies a simplified methodology to integrate the real time optimization of a continuous system into the model predictive controller in the one layer strategy. The gradient of the economic objective function is included in the cost function of the controller.
Glauce De Souza, Darci Odloak, Antônio C. Zanin   +2 more
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Embedded Model Predictive Control (MPC) using a FPGA

IFAC Proceedings Volumes, 2008
Model Predictive Control (MPC) is increasingly being proposed for application to miniaturized devices, fast and/or embedded systems. A major obstacle to this is its computation time requirement. Continuing our previous studies of implementing constrained MPC on Field Programmable Gate Arrays (FPGA), this paper begins to exploit the possibilities of ...
K.V. Ling, B.F. Wu, J.M. Maciejowski
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Model predictive control (MPC) of injection molding machines

26th IEEE Conference on Decision and Control, 1987
The problem of on-line control of plastic injection molding machines is considered. The specific problem studied is accurate regulation of melt temperature which has a significant effect on quality of the molded parts. A robust system identification and control mothodology is developed which uses canonical variates analysis for identification and model
Donald Gustafson, William Lebow
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MPC model based predictive control

UKACC Control 2006 Mini Symposia, 2006
The presentation covers the practical implementation of a DeltaV MBPC on furnace control. It describes the importance of step tests and pseudo random binary sequence tests to obtain the process model and how the various tuning parameters affect the performance and robustness of the controller.
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Bioprocess Modelling for Learning Model Predictive Control (L-MPC)

2009
Batch and Fed-Batch cultivation processes are used extensively in many industries where a major issue today is to reduce the production losses due to sensitivity to disturbances occurring between batches and within batches. In order to ensure consistent product quality by eliminating the influence of process disturbances it is very important to ...
María Antonieta Alvarez, Stuart M. Stocks, S. Bay Jørgensen   +2 more
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