A six-dimensional nonlinear hydropower system controlled by a nonlinear predictive control method is presented in this paper. In terms of the nonlinear predictive control method; the performance index with terminal penalty function is selected. A simple method to find an appropriate terminal penalty function is introduced and its effectiveness is proved. The input-to-state-stability of the cont...

The size of existing commercial solar trough plants poses new challenges in applying advanced control strategies to optimize operation. One these is obtain a better thermal balance the loops’ temperature. Since are made up many loops, efficiency loops can vary substantially if group has been cleaned or affected by dust. This leads need defocus collectors most efficient avoid overheating problem...

The purpose of this study was to develop an integrated control strategy for multiscale crystallization processes. An image analysis method using a deep learning neural network is used measure the fine-scale information process, and mathematical statistical adopted obtain mean size crystal population. A feedforward subsequently trained employed in nonlinear model predictive formulation optimal p...