An output recurrent fuzzy neural network based iterative learning control for nonlinear systems.
Ying-Chung WangChiang-Ju ChienDer-Tsai LeePublished in: FUZZ-IEEE (2008)
Keyphrases
- nonlinear systems
- iterative learning control
- fuzzy controller
- fuzzy systems
- adaptive fuzzy
- fuzzy model
- takagi sugeno
- stability analysis
- neural network
- fuzzy control
- membership functions
- controller design
- fuzzy logic
- adaptive control
- fuzzy rules
- fuzzy sets
- iterative learning
- intelligent control
- adaptive neural
- lyapunov function
- evolutionary computation
- robust stability
- fuzzy neural network
- learning rate
- soft computing
- control system
- trajectory tracking
- sliding mode
- sliding mode control
- evolutionary algorithm
- feed forward
- fuzzy clustering
- control law
- nonlinear functions
- control method
- fuzzy inference system
- inverted pendulum
- recurrent neural networks
- control algorithm
- pi controller
- computational intelligence
- control scheme
- control strategy
- variable structure
- input output
- experimental data
- artificial intelligence
- tracking error
- mathematical model
- rule sets
- control theory
- rule base
- fuzzy logic controller
- artificial neural networks