ELM-based adaptive backstepping neural control for a class of uncertain MIMO nonlinear systems with predefined tracking accuracy.
Yasser ElkoteshyLicheng JiaoWeisheng ChenPublished in: Int. J. Control (2014)
Keyphrases
- nonlinear systems
- tracking error
- adaptive neural control
- adaptive control
- adaptive neural
- adaptive fuzzy
- tracking accuracy
- controller design
- inverted pendulum
- control law
- lyapunov function
- control method
- fuzzy model
- fuzzy control
- neural network
- fuzzy systems
- learning rate
- fuzzy controller
- object tracking
- robust stability
- dynamic environments
- control system
- takagi sugeno
- control strategy
- linear matrix inequality
- sliding mode control
- pattern recognition
- closed loop
- chaotic systems
- target tracking
- control algorithm
- dynamic model