摘要
针对一类非线性系统，提出一种基于再励学习的自组织模糊ＣＰＮ的稳定控制系统。控制结构中采用滑模控制使状态到达设计的切换面，保证系统稳定；用基于再励学习的自组织模糊ＣＰＮ 作为补偿控制器减弱系统不确定部分的影响。仿真实例表明了所给算法的有效性。
A stable control scheme for a class of unknown nonlinear systems is presented. The control architecture is composed of two parts, the fuzzy sliding mode controller(FSMC) is applied to drive the state to a designed switching hyperplane, and a reinforcement self-organizing fuzzy CPN (RSOFCPN) as a forward compensator is used to reduce the influence of system uncertainties. Simulation results demonstrate the effectiveness of the proposed control scheme.
出处
《控制与决策》
EI
CSCD
北大核心
1999年第A11期549-552,共4页
Control and Decision
基金
国家自然科学基金
关键词
非线性系统
滑模控制
自组织模糊
CPN
稳定控制
nonlinear systems, fuzzy sliding mode control, self-organizing CPN, reinforcement learning
