Reconstruction and Intelligent Control for Power Plant
| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Summary: | XV, 208 p. 100 illus., 90 illus. in color. text |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
|
| Edition: | 1st ed. 2023. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-981-19-5574-7 |
| Format: | Electronic Book |
Table of Contents:
- 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.