Learning Control by Coarse-Grained Box Model with Interpolation
用插值的粗粒化Box Model进行学习控制

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.