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Neural Network Modeling of Lateral Pilot Landing Control
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/archopht.1952.01700030123016openalex-snapshot
Perception of the Visual World
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Brains, Machines, and Mathematics
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Brains, machines and mathematics
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A scaled conjugate gradient algorithm for fast supervised learning
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Neural Network Analysis of Pilot Landing Control in Real Flight
inferredcites →https://doi.org/10.2514/1.16898openalex-snapshot
Analysis of Human Pilot Control Inputs Using Neural Network
inferredcites →https://doi.org/10.2514/1.30208openalex-snapshot
Analysis of Visual Cues During Landing Phase by Using Neural Network Modeling
inferredcites →https://doi.org/10.2514/6.1988-4186openalex-snapshot
Modeling human perception and estimation of kinematic responses during aircraft landing
inferredcites →https://doi.org/10.2514/6.2007-2840openalex-snapshot
Optimization of Neural Network Modeling for Human Landing Control Analysis
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Automatic Control of Aircraft in Lateral‐Directional Plane During Landing
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Landing Auto‐Pilots for Aircraft Motion in Longitudinal Plane using Adaptive Control Laws Based on Neural Networks and Dynamic Inversion
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Data-Driven Pilot Behavior Modeling Applied to an Aircraft Offset Landing Task
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Artificial neural networks for PIO events classification comparing different data collection procedures
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Application of H 2 /H ∞ and dynamic inversion techniques to aircraft landing control
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Backstepping and dynamic inversion combined controller for auto-landing of fixed wing UAVs
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Backstepping and dynamic inversion control techniques for automatic landing of fixed wing unmanned aerial vehicles
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Attitude adaptive control of satellites using double-gimbal magnetically suspended control moment gyros
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Automatic control of aircraft lateral-directional motion during landing using neural networks and radio-technical subsystems
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ALSs with Conventional and Fuzzy Controllers Considering Wind Shear and Gyro Errors
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Complete landing autopilot having control laws based on neural networks and dynamic inversion
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The influence of atmospheric turbulences on aircraft landing process
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Multi-Agent Based Helicopter Landing Process Modeling and Uncertainty Analysis Method
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Automatic command systems for the flight direction control during the landing process
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Development of Pilot Model with Stochastic Periodical Discrete Movement
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Automatic Control of Aircraft in Longitudinal Plane During Landing
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Pilot Control Modeling With Stochastic Periodical Discrete Movement
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Design of Automatic Landing Systems Using the H-inf Control and the Dynamic Inversion
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EDITORIAL ARTICLE OF SPECIAL ISSUE: PART I–B SERIES MATHEMATICAL MODELING OF COMPLEX SYSTEMS: FRACTALS–FRACTIONAL–ITÔ–DEs–WAVELET–ENTROPY–AI–BASED THEORIES, ANALYSES AND APPLICATIONS
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Adaptive Neural Network‐Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster
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Automatic landing control using H-inf control and dynamic inversion
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Probability Risk Assessment of Man-Machine System Based on Boundary Identification of Flight Performance Margin
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Modeling Pilot Behaviors Based on Discrete-Time Series During Carrier-Based Aircraft Landing
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Flight Testing Automatic Landing Control for Unmanned Aircraft Including Curved Approaches
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Safe Autonomous Landing of a UAV in Offset Approaches using Neural Networks
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Optimization, dynamics analyses and trajectory tracking of aircraft perching maneuvers
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