作者: Artemis K. Kostarigka , George A. Rovithakis
DOI: 10.23919/ECC.2007.7068307
关键词: Small set 、 Nonlinear system 、 Dynamical systems theory 、 Zero (complex analysis) 、 Control theory 、 Division by zero 、 Mathematics 、 Tracking error 、 Affine transformation 、 Uniform boundedness
摘要: An adaptive neural network controller for multi-input nonlinear, affine in the control dynamical systems with unknown nonlinearities is designed, capable of attenuating L 2 ,L ∞ external disturbances. In absence disturbances, a uniform ultimate boundedness property tracking error respect to an arbitrarily small set around origin guaranteed, as well all signals closed loop. Possible division by zero avoided use novel resetting procedure, guaranteeing away from certain signals. Simulations illustrate approach.