节点文献
一种简易的无模型控制算法——改进的同时扰动随机逼近控制
A simple Algorithm of Model-Free Control with a Reformative Method of Simultaneous Perturbation Stochastic Approximation
【摘要】 同时扰动随机逼近控制算法是一种特别适合于应用在工况变化大、非线性强的工业过程的无模型控制算法。但该算法采用了神经网络作为函数逼近器,使得在工程上的实现过于复杂,文章对此作出改进,使其大大简化,更适合于在工程上应用。
【Abstract】 The algorithm with simultaneous perturbation stochastic approximation method is the model-free control algorithm with stochastic approximation method and without modeling. It is superior to those industrial processes with non-linearity and great variations. But this algorithm usually takes the Neural Network as function approximator, which makes it too complicated to apply to engineering. This paper develops the algorithm and the reformative algorithm is easy to apply to engineering.
【关键词】 无模型控制;
随机逼近;
同时扰动;
非线性系统;
【Key words】 Model-Free Control; Stochastic Approximation; Simultaneous Perturbation; Nonlinear System;
【Key words】 Model-Free Control; Stochastic Approximation; Simultaneous Perturbation; Nonlinear System;
- 【文献出处】 广东自动化与信息工程 ,Guangdong Automation & Information Engineering , 编辑部邮箱 ,2004年01期
- 【分类号】TP13
- 【被引频次】3
- 【下载频次】233