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IEEE/ICACT20250244 Slide.12
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In this work, we developed two MPC controllers. The first one is Nonlinear MPC (NLMPC). In MPC, there is an optimization algorithm and a prediction model. The controller takes measurements from the system, and the prediction model estimates future temperature trajectories within a finite prediction horizon. These predicted states are then used to minimize a cost function, and the optimal control action is applied to the plant. This Nonlinear MPC serves as a benchmark for comparison. | |
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