id: 06017231
dt: j
an: 06017231
au: Yu, Zhaoxu; Du, Hongbin
ti: Adaptive neural control for uncertain stochastic nonlinear strict-feedback
    systems with time-varying delays: a Razumikhin functional method.
so: Neurocomputing 74, No. 12-13, 2072-2082 (2011).
py: 2011
pu: Elsevier Science Publishers B.V., Amsterdam
la: EN
cc: 
ut: stochastic nonlinear systems; adaptive control; neural network (NN);
    Razumikhin functional; time-varying delays
ci: 
li: doi:10.1016/j.neucom.2010.12.030
ab: Summary: This paper addresses the problem of adaptive neural control for a
    class of uncertain stochastic nonlinear strict-feedback systems with
    time-varying delays. A novel adaptive neural control scheme is
    presented for this class of systems, based on a combination of the
    Razumikhin functional approach, the backstepping technique and the
    neural network (NN) parameterization. The proposed adaptive controller
    guarantee that all the error variables are 4-Moment semi-globally
    uniformly ultimately bounded in a compact set while the system output
    converges to a small neighborhood of the reference signal. Two
    simulation examples are given to demonstrate the effectiveness of the
    proposed control schemes.
rv: