Evolutionary Algorithms and Reinforcement Learning in Experiments with Slot Cars

被引：0

作者：

Martinec, Dan ^{[1
]}

Bundzel, Marek ^{[1
]}

机构：

[1] Czech Tech Univ, Fac Elect Engn, Dept Control Engn, Prague 16627, Czech Republic

来源：

2013 INTERNATIONAL CONFERENCE ON PROCESS CONTROL (PC) | 2013年

关键词：

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：

Some control systems are difficult or impossible to be tuned by other means than automatically. We present here examples of optimization of the parameters of a PID controller regulating velocity of a slot car to the given set point using evolutionary optimization and reinforcement learning. These methods are implemented on the micro-controller of the slot car. Experimental results and comparison are provided.

引用

页码：159 / 162

页数：4

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