Nonlinear model predictive control with neural network optimization for autonomous autorotation of small unmanned helicopters

IEEE Transactions on Control Systems Technology

Volumn 19, Issue 4, 2011, Pages 818-831

  Dalamagkidis, Konstantinos ^a   Valavanis, Kimon P ^b   Piegl, Les A ^c  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b University of Denver   (United States)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Helicopters; predictive control; public safety; recurrent neural networks (RNNs); unmanned systems

Indexed keywords

AUTOROTATION; COMPUTATIONAL POWER; CONVERGENCE PERFORMANCE; EXTENSIVE SIMULATIONS; INPUT AND OUTPUT CONSTRAINTS; MACHINE LEARNING TECHNIQUES; NEURAL NETWORK OPTIMIZATION; NON-LINEAR MODEL; NON-LINEAR OPTIMIZATION; NONLINEAR MODEL PREDICTIVE CONTROL; OBJECTIVE FUNCTIONS; PARALLELIZATIONS; PREDICTIVE CONTROL; PUBLIC SAFETY; REAL-TIME OPERATION; SAFETY REQUIREMENTS; SMALL UNMANNED HELICOPTERS; TRAJECTORY OPTIMIZATION; UNMANNED HELICOPTER; UNMANNED SYSTEM;

CONTROLLERS; HELICOPTERS; NONLINEAR SYSTEMS; ONLINE SYSTEMS; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; RECURRENT NEURAL NETWORKS;

MODEL PREDICTIVE CONTROL;

EID: 79959575570     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2010.2054092     Document Type: Article

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