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对一类含时滞的单输入单输出的非线性系统提出了一种新的自适应神经网络控制方法.利用径向基神经网络来估计未知的连续函数.在设计中利用积分型Lyapunov-Krasovskii来消除未知的时滞.该文的结果的主要优点是:不仅有效地避免了控制奇异问题,也消除了对未知虚拟控制条件的限制.
A new adaptive neural network control method is proposed for a class of nonlinear systems with single-input and single-output with delay. The RBF neural network is used to estimate the unknown continuous function. In the design, an integral Lyapunov-Krasovskii To eliminate the unknown delay.The main advantage of the results of this paper is that it not only effectively avoids the singularity problem but also eliminates the limitation of the unknown virtual control conditions.