摘要
设计RBF神经网络非线性补偿控制器,提出了混沌系统线性状态反馈的复合控制方法,将可调系统混沌行为镇定到期望目标位置或者变成周期运动.用Lorenz方程作仿真实验,结果证明了该方法的有效性.
A nonlinear compensation controller with RBF neural networks was developed, a hybrid control technique for chaotic system based on linear state feedback was presented. The chaotic behavior of controlled system could be directed to the desired targets or periodic trajectory. The effectiveness of the proposed method was demonstrated through numerical simulations on the chaotic Lorenz equation.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2003年第6期951-954,共4页
Control Theory & Applications
基金
国家自然科学基金项目(60075008)
湖南省自然科学基金项目(00JJY20113).
