Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control.
Daniel WeberMaximilian SchenkeOliver WallscheidPublished in: CoRR (2022)
Keyphrases
- steady state
- disturbance rejection
- limit cycle
- reinforcement learning
- markov chain
- error compensation
- operating conditions
- control problems
- explicit expressions
- closed loop
- product form
- optimal control
- steady states
- real time
- control system
- queue length
- queueing model
- control strategy
- state space
- control law
- vision system
- dynamic programming
- machine learning