Autonomous Control of Unmanned Aerial Vehicles

• Hoofdauteur: Becerra, Victor (auth)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Onderwerpen: History of engineering & technology; n/a; super twisting sliding mode controller (STSMC); monocular visual SLAM; modulation; bio-inspiration; simulation; horizontal control; sensor fusion; ADRC; high-order sliding mode; over-the-horizon air confrontation; longitudinal motion model; autonomous control; real-time ground vehicle detection; maneuver decision; nonlinear dynamics; UAV automatic landing; harmonic extended state observer; image processing; General Visual Inspection; actuator faults; actuator fault; remote sensing; aerial infrared imagery; agricultural UAV; SC-FDM; tilt rotors; mass eccentricity; wind disturbance; decoupling algorithm; adaptive discrete mesh; disturbance; super twisting extended state observer (STESO); heuristic exploration; sliding mode control; UAS; Q-Network; UAV communication system; UAV; reinforcement learning; autonomous landing area selection; peak-to-average power ratio (PAPR); slung load; aircraft maintenance; flight mechanics; octree; unmanned aerial vehicle; convolutional neural network; aircraft; performance evaluation; quadrotor; vertical take off; data link; path planning; coaxial-rotor; fixed-time extended state observer (FTESO); multi-UAV system; hardware-in-the-loop; distributed swarm control; vertical control
• Online toegang: DOAB: download the publication; DOAB: description of the publication

Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, a...