A Combined Adaptive Law for Fuzzy Iterative Learning Control of Nonlinear Systems With Varying Control Tasks.
Chiang-Ju ChienPublished in: IEEE Trans. Fuzzy Syst. (2008)
Keyphrases
- nonlinear systems
- adaptive fuzzy
- iterative learning control
- adaptive control
- adaptive neural
- fuzzy controller
- trajectory tracking
- control law
- inverted pendulum
- fuzzy systems
- control method
- controller design
- takagi sugeno
- stability analysis
- fuzzy control
- variable structure
- sliding mode
- sliding mode control
- feedback control
- control system
- lyapunov function
- fuzzy model
- tracking error
- control algorithm
- iterative learning
- fuzzy logic controller
- control theory
- learning rate
- intelligent control
- dead zone
- pi controller
- fuzzy logic
- fuzzy sets
- control strategy
- closed loop
- fuzzy rules
- autonomous robots
- soft computing
- robust stability
- neural network
- membership functions
- input output
- reinforcement learning
- rough sets
- decision rules
- learning algorithm
- evolutionary algorithm
- real time
- computational intelligence
- dynamic environments
- experimental data
- neuro fuzzy
- optimal control
- fuzzy neural network