Adaptive control uncertain stochastic for a class of nonlinear system
Abstract：Adaptive neural control is researched for a class of single - input and single - output stochastic nonlinear system in strict -feedback form. RBF and baekstepping technologies are applied to design the controller, which guarantees that all the closed -loop signals are bounded in probability.
Keywords：adaptive controlneural network (NN)backsteppingstochastic system
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 239-247 )