location: Current position: Prof. Tao Liu >> Scientific Research >> Paper Publications

Q-Learning Based Parameter Tuning for Model-Free Adaptive Control of Nonlinear Systems

Hits:

Date of Publication:2024-11-09

Journal:14th Asian Control Conference, ASCC 2024

Page Number:2078-2083

Key Words:Action spaces; Adaptive control systems; Adversarial machine learning; Control of nonlinear system; Federated learning; Model-free adaptive control; Parameter optimization; Parameters tuning; Q-learning; Reinforcement learning; Reinforcement learnings; Reward function; State-space; Tuning method

Pre One:New Adaptive ESO Based Data-Driven Anti-Disturbance Control for Nonlinear Systems with Convergence Guarantee

Next One:Data-Driven Anti-Disturbance Control with High-Order Extended State Observer for Unknown Nonlinear Systems