用插值的粗粒化Box Model进行学习控制
Learning Control by Coarse-Grained Box Model with Interpolation
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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 Model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,对三个较有代表性的实例的仿真结果 也是令人满意的.
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关键词:
- 学习控制 /
- Box Model随机元胞自动机
Abstract: In this paper, learning control is applied to a single-input system with unknown dynamical equations, using coarse-grained Box Model with interpolation. 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.-
Key words:
- Learning control /
- box model
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