ROBUST AUTOPILOTS BASED ON THE FUZZY MODEL REFERENCE LEARNING CONTROL
DOI:
https://doi.org/10.18372/2306-1472.29.1357Abstract
Fuzzy learning algorithm of unmanned aerial vehicle is considered in this paper. It allows real time self-tuning of parameters of the controller’s membership functions. The primary structure of the fuzzy controller is synthesized via “crisp” prototype based on the robust H2/H∞ -optimization. It is shown that obtained control algorithm possesses high level of performance and robustnessReferences
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