Learning Time Improvements to an Evolutionary Algorithm for Online, Non-Stationary, Optimization of Flight Control in a Flapping Wing Micro Air Vehicle
Author:
Affiliation:
1. University of Cincinatti,Department of Electrical Engineering and Computer Science,Cincinatti,Ohio,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9696307/9696308/09696400.pdf?arnumber=9696400
Reference18 articles.
1. Model checking of a flapping-wing micro-air vehicle trajectory tracking controller subject to disturbances;goppert;the 2nd International Conference on Robot Intelligence Technology and Applications (RiTA 2013),2013
2. Wing Flexibility Induced Control Reversal For Flapping Wing Vehicles: Theoretical Analysis
3. Evolutionary strategy approach for improved in-flight control learning in a simulated Insect-Scale Flapping-Wing Micro Air Vehicle
4. Islands of fitness compact genetic algorithm for rapid in-flight control learning in a Flapping-Wing Micro Air Vehicle: A search space reduction approach
5. A hardware compact genetic algorithm adaptive oscillator for hover improvement in an insect-scale flapping wing micro air vehicle;timmerman;Proc Of the IEEE National Aerospace and Electronics Conference (NAECON 2012),0
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