Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach.
Tao BianZhong-Ping JiangPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- optimal control
- nonlinear systems
- control law
- reinforcement learning
- adaptive control
- dynamic programming
- infinite horizon
- markov decision processes
- state space
- adaptive fuzzy
- lyapunov function
- control problems
- stability analysis
- adaptive neural
- tracking error
- feedback control
- actor critic
- optimal control problems
- policy iteration
- control strategy
- optimal policy
- control theory
- brownian motion
- function approximation
- markov decision process
- fuzzy systems
- hamilton jacobi bellman
- inverted pendulum
- reinforcement learning algorithms
- approximate dynamic programming
- lyapunov stability
- average cost
- machine learning
- temporal difference
- fuzzy control
- partially observable markov decision processes
- nonlinear equations
- model free
- fuzzy controller
- control method
- learning algorithm
- rl algorithms
- sliding mode
- fuzzy model