A novel adaptive control algorithm based on reinforcement learning

被引：0

作者：

Qian Zheng ^{[1
]}

Sun Liang ^{[1
]}

Ruan Xiaogang ^{[1
]}

机构：

[1] Beijing Univ Technol, Inst Informat & Control, Beijing 100022, Peoples R China

来源：

Proceedings of the 24th Chinese Control Conference, Vols 1 and 2 | 2005年

关键词：

reinforcement learning; critic network; action network; single inverted pendulum;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on reinforcement and dynamic programming, a novel adaptive control algorithm is proposed for the complex systems which have the characteristics of model unknown, speediness, multiple variables, serious nonlinear. The method needs not know the priori knowledge of system, uses a double BP-network to control system with hierarchical theory. combines the self-tune property of reinforcement learning, and at last effectively controls the unstably nonlinear system. The paper experimental object is a single inverted pendulum. It is shown from the simulation results that this method has good control effect, good steady accuracy and good interference rejection.

引用

页码：651 / 654

页数：4