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Advances in Optimal and Predictive Control Approaches for Solar Thermal Systems Enhancement - Springer Theses Igor Mendes Lima Pataro
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Advances in Optimal and Predictive Control Approaches for Solar Thermal Systems Enhancement - Springer Theses
Igor Mendes Lima Pataro
The proposed methodologies encompass a variety of approaches, including Q-Learning model-free optimal control, optimal control with feedforward, hybrid nonlinear predictive control, stochastic nonlinear predictive control, stabilizing predictive control, learning-based predictive control, and adaptive predictive control.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Tiks izlaists | 2027. gada 24. februāris |
| ISBN13 | 9783032350169 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 131 |
| Izmēri | 150 × 220 × 20 mm · 298 g (Svars (aptuveni)) |
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