摘要
对镇定一嵌入在混沌吸引子内的不稳定平衡点上的混沌轨道提出了一种新的混沌系统神经网络补偿控制方法，探讨了用神经网络估计混沌系统不确定性的途径，给出了神经补偿控制器的设计方法，并证明了闭环系统的稳定性。以三阶Ｌｏｒｅｎｚ方程为例给出了仿真结果。
A novel neural network compensating control method was presented for stabilizing chaotic orbits on an unstable equilibrium embedded within a chaotic attractor. The ways to evaluate the uncertainty of chaotic system was explored. The design algorithm of neural compensating controller was given, and the stability of closed-loop system was proved. The simulation was given using Lorenz system.
出处
《控制与决策》
EI
CSCD
北大核心
1998年第3期272-276,共5页
Control and Decision
基金
国家自然科学基金
中国博士后基金
