不确定区间时变时滞神经网络的鲁棒控制  

Robust Control for Uncertain Neural Networks with Interval Time-varying Delays

作　　者：任欣元[1,2] 任伟建[1] 朱永波 黄丽杰[4] 

机构地区：[1]东北石油大学电气信息工程学院,黑龙江大庆163318 [2]广东电网公司佛山供电局,广东佛山528000 [3]中国石油大庆分公司热电厂,黑龙江大庆163318 [4]天津环球磁卡股份有限公司,天津300202

出　　处：《控制工程》2017年第12期2417-2423,共7页Control Engineering of China

基　　金：国家自然科学基金(61374127);黑龙江省博士后科研启动资金项目(LBH-Q12143)

摘　　要：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.

关 键 词：T-S模糊模型 区间时变时滞 鲁棒控制 神经网络 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]