摘要
基于动态神经网对一类不确定非线性系统提出一种新的鲁棒观测器．其中无离线学习、持续激励和输出匹配条件等要求．仿真说明所提方法的有效性．
In this paper, a novel robust observer is proposed for a class of uncertain nonlinear systems using recurrent neural networks, in which no off line training phase, persistence excitation and output matched condition is required. The effectiveness of the presented methods is demonstrated by simulation results.
出处
《信息与控制》
CSCD
北大核心
1998年第6期423-426,共4页
Information and Control
基金
国家自然科学基金
关键词
不确定性
非线性系统
动态神经网络
鲁棒观测器
uncertainty, nonlinear systems, dynamic recurrent neural networks, robust observer
