Adaptive Optimal Control via Continuous-Time Q-Learning for Stackelberg-Nash Games of Uncertain Nonlinear Systems.
Shuhang YuHuaguang ZhangZhongyang MingJiayue SunPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2024)
Keyphrases
- optimal control
- nonlinear systems
- control law
- adaptive control
- nash equilibria
- reinforcement learning
- nash equilibrium
- game theory
- lyapunov function
- adaptive fuzzy
- dynamic programming
- adaptive neural
- feedback control
- control problems
- learning rate
- stability analysis
- control strategy
- actor critic
- stochastic games
- optimal control problems
- tracking error
- control theory
- robust stability
- state space
- infinite horizon
- hamilton jacobi bellman
- fuzzy controller
- linear matrix inequality
- function approximation
- decision making
- control method
- policy iteration
- fuzzy control
- variable structure
- lyapunov stability
- learning algorithm
- machine learning
- rl algorithms
- nonlinear equations
- fuzzy systems
- reinforcement learning algorithms
- data mining
- real time
- evolutionary algorithm
- control system
- brownian motion
- fuzzy sets
- dynamic environments
- mathematical model