摘要
针对一类未知动力学方程的单输入系统，采用插值的粗粒化 Ｂｏｘ Ｍ ｏｄｅｌ进行学习控制．与传统的Ｂｏｘ Ｍｏｄｅｌ及基于随机元胞自动机的控制模式比较，本模型设计思想自然，算法简单．计算量小（常常小几个数量级），训练时间短。
In this paper, learning control is applied to a single-input system with unknown dynamical equations, using; coarse- grained Box Model with interpola- tion. As compared with the traditional Box Model or with Stochastic Cellular Automata, this model is more reasonal in idea, much simpler in algorithm, less in computation amount and less training time. Three illustrative simulation examples are given and show satisfactory results.
出处
《自动化学报》
EI
CSCD
北大核心
1996年第1期101-106,共6页
Acta Automatica Sinica
基金
国家自然科学基金
高校博士学科点专项科研基金资助项目.
