Terminal iterative learning control for discrete-time nonlinear systems based on neural networks.
Jian HanDong ShenChiang-Ju ChienPublished in: J. Frankl. Inst. (2018)
Keyphrases
- nonlinear systems
- iterative learning control
- fuzzy systems
- neural network
- dead zone
- adaptive neural
- stability analysis
- adaptive control
- fuzzy model
- control law
- adaptive fuzzy
- controller design
- iterative learning
- learning rate
- intelligent control
- trajectory tracking
- fuzzy controller
- artificial neural networks
- nonlinear functions
- pattern recognition
- fuzzy control
- fuzzy logic
- lyapunov function
- evolutionary computation
- feed forward
- weight update
- computational intelligence
- fuzzy rules
- soft computing
- back propagation
- genetic algorithm
- state space
- tracking error
- control strategy
- takagi sugeno
- sliding mode control
- robust stability