Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem
作者： Bin Xu , Qi Zhang , Yongping Pan
DOI: 10.1016/J.NEUCOM.2015.08.017
关键词:
摘要: This paper analyzed the neural control for longitudinal dynamics of a generic hypersonic aircraft in presence unknown and actuator fault. For attitude subsystem, direct adaptive design is presented with dynamic surface approach singularity problem removed. fault, caused by fault approximated networks. The highlight that minimal-learning-parameter technique applied on simple algorithm easy to implement since online updating computation burden greatly reduced. uniformly ultimate boundedness stability guaranteed via small-gain theorem. Simulation result shows controller could achieve good tracking performance minimal learning parameter case
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