节点文献
滞后复杂系统的多步预报自学习模糊控制
The Multi-step Predictive Self-learning Fuzzy Control for the Complex System with Time-delay
【摘要】 针对具有纯时滞及非线性的复杂系统,提出一种基于多步预报的自学习模糊控制算法,使控制效果基本不依赖于初始控制表,而控制表可以在线修正,以满足系统快速性和稳态特性的要求。仿真结果令人满意。
【Abstract】 For the complex system with time-delay, a new type of self-learning fuzzy control algorithm based on the multi-step prediction is proposed in this paper. The controlling effection does not depend on the initial fuzzy controlling table, the controlling table can be adjusted on line. Different learning rules are applied at different states to meet the different requirement on responding speed and the character near steady state. The simulation results are satisfactory.
【关键词】 多步预报;
自学习模糊控制;
自适应控制;
【Key words】 multi-step prediction; self-learning fuzzy control; adaptive control;
【Key words】 multi-step prediction; self-learning fuzzy control; adaptive control;
【基金】 国家教委博士点基金
- 【文献出处】 控制与决策 ,CONTROL AND DECISION , 编辑部邮箱 ,1996年02期
- 【分类号】TP273.2
- 【被引频次】8
- 【下载频次】65