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Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator

This paper is concerned with the comparison between a classical robust control system and a neural network controller based on the predictor- corrector control scheme featuring different neural network architectures and on-line training algorithms. Both the controllers have been applied to an adaptive flight control system for the F-15 WVU flight simulator and the results are given in terms of performance comparison and control activity evaluation.