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.
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页码：159 / 162
页数：4
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