Reconstruction and Intelligent Control for Power Plant
| Hlavní autoři: | , , |
|---|---|
| Korporativní autor: | |
| Shrnutí: | XV, 208 p. 100 illus., 90 illus. in color. text |
| Jazyk: | angličtina |
| Vydáno: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Vydání: | 1st ed. 2023. |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-981-19-5574-7 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- Introduction
- Adaptive mixed edge detection of furnace flame image
- Intelligent flame image segmentation of furnace flame image
- Reconstruction of temperature field based on limited flame image information
- Furnace temperature prediction based on optimized kernel extreme learning machine
- Process modeling of power plant
- Fuzzy K-means network based generalized predictive control for power plant
- Deep-neural-network based nonlinear predictive control for power plant
- Intelligent virtual reference feedback tuning based data driven control for power plant.