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By: Hamid Asgari (Author) , XiaoQi Chen (Author)
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This book provides novel approaches to gas turbine (GT) modeling, simulation, and control using artificial neural networks (ANNs). It outlines important considerations for beginning the GT modeling process, highlights research in white-box and black-box modeling, discusses the structure of ANNs and the ANN-based model-building process, and presents a noteworthy ANN-based methodology for offline system identification of GTs. It also covers the modeling of GT transient behavior and start-up operation, and the design of proportional-integral-derivative (PID) and neural network-based controllers.
Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the modeling, simulation, and control of gas turbines (GTs) using artificial neural networks (ANNs). After delivering a brief introduction to GT performance and classification, the book:
Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks not only offers a comprehensive review of the state of the art of gas turbine modeling and intelligent techniques, but also demonstrates how artificial intelligence can be used to solve complicated industrial problems, specifically in the area of GTs.
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