Adaptive PID controller based on Q-learning algorithm

Adaptive PID controller based on Q-learning algorithm

An adaptive proportional–integral–derivative (PID) controller based on Q-learning algorithm is proposed to balance the cart–pole system in simulation environment. This controller was trained using Q-learning algorithm and implemented the learned Q-tables to change the gains of linear PID controllers...

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Bibliographic Details
Main Authors: Qian Shi, Hak-Keung Lam, Bo Xiao, Shun-Hung Tsai
Format: Article
Language:English
Published: Wiley 2018-12-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
three-term control
fuzzy control
adaptive control
learning (artificial intelligence)
linear systems
adaptive PID controller
adaptive proportional–integral–derivative controller
cart–pole system
linear PID controllers
control process
initial positions
conventional PID controller
Q-learning algorithm
learned Q-tables
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1007

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https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1007

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