论文部分内容阅读
研究了一类不确定时变时滞神经网络的鲁棒控制问题.利用Lyapunov-Krasovakii泛函和积分不等式方法,得到了该神经网络系统的鲁棒H∞稳定性准则和镇定条件.与已有文献相比,所获得的研究结论改进了目前现有的成果,尤其在减小条件保守性及降低结果冗余设计方面都有比较大的进步.数值算例验证了所给方法的正确性.“,”The robust control problem for a class of uncertain neural networks with time-varying delays is studied. Using the Lyapunov-Krasovskii functional and the integral inequality method, the robust H∞stability criterion and the stabilization condition of the neural network system are obtained. Compared with the existing literature, the research conclusion has improved the existing results, especially in reducing the conservatism of conditions and reducing the redundancy design of the results, a relatively large progress is obtained. Numerical examples are given to verify the correctness of the method.