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MPC model based predictive control
UKACC Control 2006 Mini Symposia, 2006The 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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Embedded Model Predictive Control (MPC) using a FPGA
IFAC Proceedings Volumes, 2008Model 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, 1987The 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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PlantPAx MPC: Model Predictive Control Embedded in Programmable Controller and its Application
2025 25th International Conference on Process Control (PC)Jan Kolinský +4 more
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Bioprocess Modelling for Learning Model Predictive Control (L-MPC)
2009Batch 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 +2 more
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Developing a treatment for neurogenic bladder dysfunction using Model Predictive Control (MPC)
Biomedical Signal Processing and Control, 2017Abstract Neurogenic Lower Urinary Tract Dysfunction (NLUTD) which is usually called neurogenic bladder, is a dysfunction of the urinary bladder due to malfunction in the central nervous system or peripheral nerves which involved in the control of micturition (urination).
Hesham W. Gomma, Ahmed El-Azab
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Model Predictive Control (MPC) for Constrained Nonlinear Systems
1996This thesis addresses the development of stabilizing model predictive control algorithms for nonlinear systems subject to input and state constraints and in the presence of parametric and/or structural uncertainty, disturbances and measurement noise. Our basic model predictive control (MPC) scheme consists of a finite horizon MPC technique with the ...
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A distributed model predictive control (D-MPC) for modular robots in chain configuration
IX Latin American Robotics Symposium and IEEE Colombian Conference on Automatic Control, 2011 IEEE, 2011This paper shows the design of a distributed predictive control, applied to a robotic chain of six modules. The dynamic model is obtained for a single module which is validated through the SimMechanics blockset of MATLAB. With the obtained model, a controller is designed using different predictive control strategies to choose the one that shows a ...
F. Cortes +3 more
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Comparison of different model predictive control (MPC) algorithms
2021[EN] The project objective is to develop a predictive control algorithm that is able to control systems in state space. To do the work we have proposed the control of an industrial distillation.
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Model predictive control (MPC) performance for controlling reaction systems
2020145
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