一类随机非线性系统的自适应控制

摘要

研究一类单输入单输出的严格反馈随机非线性系统的自适应神经控制问题.利用神经网络参数化（RBF）和backstepping技术来进行控制器设计.所设计的控制器确保所有闭环信号是概率意义下有界的.%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.