Figure 13 - Neural Networks for Modeling and Control of Particle Accelerators

The basic elements of a model predictive control scheme. Np is the prediction horizon, Nm is the number of previous measured values used for modeling, k is the present time step, Nc is the control horizon, ucv are the controlled variables, um are measured variables, and yp is the predicted plant output.

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Reference

Neural Networks for Modeling and Control of Particle Accelerators - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/The-basic-elements-of-a-model-predictive-control-scheme-Np-is-the-prediction-horizon-Nm_fig9_301571788 [accessed 23 Mar 2025]

Caption

Figure 13: The basic elements of a model predictive control scheme. Np is the prediction horizon, Nm is the number of previous measured values used for modeling, k is the present time step, Nc is the control horizon, ucv are the controlled variables, um are measured variables, and yp is the predicted plant output.

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<a href="https://www.researchgate.net/figure/The-basic-elements-of-a-model-predictive-control-scheme-Np-is-the-prediction-horizon-Nm_fig9_301571788"><img src="https://www.researchgate.net/profile/Stephen-Milton/publication/301571788/figure/fig9/AS:668375936147458@1536364649395/The-basic-elements-of-a-model-predictive-control-scheme-Np-is-the-prediction-horizon-Nm.png" alt="The basic elements of a model predictive control scheme. Np is the prediction horizon, Nm is the number of previous measured values used for modeling, k is the present time step, Nc is the control horizon, ucv are the controlled variables, um are measured variables, and yp is the predicted plant output."/></a>