Incremental Q-learning strategy for adaptive PID control of mobile robots

作者：

Highlights：

• Adaptive PID control strategy of mobile robots.

• Integration of Reinforcement Learning with PID control for complex systems.

• Incremental Q-learning algorithm for real-time tuning of multiples PID controllers.

• Managing the adaptation process by temporal memories comparison.

摘要

•Adaptive PID control strategy of mobile robots.•Integration of Reinforcement Learning with PID control for complex systems.•Incremental Q-learning algorithm for real-time tuning of multiples PID controllers.•Managing the adaptation process by temporal memories comparison.

论文关键词：Reinforcement learning,Incremental Q-learning,PID,Mobile robots,Non-linear control

论文评审过程：Received 6 January 2017, Revised 1 March 2017, Accepted 2 March 2017, Available online 6 March 2017, Version of Record 23 March 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.002