Gas turbines modeling, simulation, and control : using artificial neural networks

Content: Introduction to Modeling of Gas TurbinesGT PerformanceGT ClassificationConsiderations in GT ModelingProblems and LimitationsObjectives and ScopeSummaryWhite-Box Modeling, Simulation, and Control of GTsWhite-Box Modeling and Simulation of GTsWhite-Box Approach in Control System DesignFinal StatementSummaryBlack-Box Modeling, Simulation, and Control of GTsBlack-Box Modeling and Simulation of GTsBlack-Box Approach in Control System DesignFinal StatementSummaryANN-Based System Identification for Industrial SystemsArtificial Neural Network (ANN)The Model of an Artificial NeuronANN-Based Model Building ProcedureANN Applications to Industrial SystemsANN LimitationsSummaryModeling and Simulation of a Single-Shaft GTGT Simulink ModelANN-Based System IdentificationModel Selection ProcessSummaryModeling and Simulation of Dynamic Behavior of an IPGTGT SpecificationsData Acquisition and PreparationPhysics-Based Model of IPGT by Using Simulink: MATLABNARX Model of IPGTComparison of Physics-Based and NARX ModelsSummaryModeling and Simulation of the Start-Up Operation of an IPGT by Using NARX ModelsGT Start-UpData Acquisition and PreparationGT Start-Up Modeling by Using NARX ModelsSummaryDesign of Neural Network-Based Controllers for GTsGT Control SystemModel Predictive ControllerFeedback Linearization Controller (NARMA-L2)PID ControllerComparison of Controllers PerformanceNMP SystemsSummary