Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive Neural Control for a Class of Stochastic Nonlinear Systems with
  Unknown Parameters, Unknown Nonlinear Functions and Stochastic Disturbances   In this paper, adaptive neural control (ANC) is investigated for a class of
strict-feedback nonlinear stochastic systems with unknown parameters, unknown
nonlinear functions and stochastic disturbances. The new controller of adaptive
neural network with state feedback is presented by using a universal
approximation of radial basis function neural network and backstepping. An
adaptive neural network state-feedback controller is designed by constructing a
suitable Lyapunov function. Adaptive bounding design technique is used to deal
with the unknown nonlinear functions and unknown parameters. It is shown that,
the global asymptotically stable in probability can be achieved for the
closed-loop system. The simulation results are presented to demonstrate the
effectiveness of the proposed control strategy in the presence of unknown
parameters, unknown nonlinear functions and stochastic disturbances.

8
The categories of this paper are: hep-ex
16
The categories of this paper are: stat
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys