Simplified optimized control using reinforcement learning algorithm for a class of stochastic nonlinear systems.
Guo-Xing WenC. L. Philip ChenWei Nian LiPublished in: Inf. Sci. (2020)
Keyphrases
- nonlinear systems
- adaptive neural control
- adaptive control
- tracking control
- controller design
- inverted pendulum
- adaptive neural
- stability analysis
- adaptive fuzzy
- control law
- control method
- control scheme
- fuzzy control
- control system
- lyapunov function
- fuzzy systems
- fault tolerant control
- fuzzy controller
- tracking error
- dead zone
- fuzzy model
- learning rate
- artificial intelligence
- takagi sugeno
- control problems
- control strategy
- fuzzy logic
- particle swarm optimization
- input output
- decision making
- robotic systems
- data mining