No AccessDirect comparison of neural network, fuzzy logic and model predictive variable structure vortex flow controllersPraveen Joshi and John ValasekPraveen JoshiTexas A & M Univ., College StationSearch for more papers by this author and John ValasekTexas A & M Univ., College StationSearch for more papers by this authorPublished Online:22 Aug 2012https://doi.org/10.2514/6.1999-4279SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetailsSee PDF for referencesCited byAdaptive Speed Control for Autonomous Mobile Robot Using Fuzzy Logic ControllerSupport vector networks for prediction of floor pressures in shallow cavity flowsA generalizing fuzzy model for shallow cavity flows under different mach regimes What's Popular Guidance, Navigation, and Control Conference and Exhibit 09 August 1999 - 11 August 1999Portland,OR,U.S.A.https://doi.org/10.2514/6.1999-4279 Crossmark TopicsAerodynamic PerformanceAerodynamicsArtificial IntelligenceArtificial Neural NetworkComputing and InformaticsComputing SystemComputing, Information, and CommunicationData ScienceFluid DynamicsSlip (Aerodynamics)Vortex Dynamics KeywordsNeural NetworksFuzzy LogicVortex SheddingLinear Time InvariantFull State FeedbackControl NozzleSideslip AngleAngle of AttackAdverse YawFighter AircraftPDF Topics Guidance, Navigation, and Control