Reconstruction and Intelligent Control for Power Plant

Chen Peng (), Chuanliang Cheng () and Ling Wang ()
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Chen Peng: Shanghai University, School of Mechatronic Engineering and Automation
Chuanliang Cheng: Shanghai University, School of Mechatronic Engineering and Automation
Ling Wang: Shanghai University, School of Mechatronic Engineering and Automation

in Springer Books from Springer

Date: 2023
ISBN: 978-981-19-5574-7
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Chapters in this book:

Ch Chapter 1 Introduction

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 2 Adaptive Mixed Edge Detection of Furnace Flame Image

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 3 Intelligent Segmentation of Furnace Flame Image

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 4 Reconstruction of Temperature Field Based on Limited Flame Image Information

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 5 Furnace Temperature Prediction Based on Optimized Kernel Extreme Learning Machine

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 6 Process Modeling of Power Plant

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 7 Fuzzy K-Means Network Based Generalized Predictive Control for Power Plant

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 8 Deep-Neural-Network Based Nonlinear Predictive Control for Power Plant

Chen Peng, Chuanliang Cheng and Ling Wang

Ch Chapter 9 Intelligent Virtual Reference Feedback Tuning Based Data Driven Control for Power Plant

Chen Peng, Chuanliang Cheng and Ling Wang

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DOI: 10.1007/978-981-19-5574-7

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