Approximation-based disturbance observer approach for adaptive tracking of uncertain pure-feedback nonlinear systems with unmatched disturbances.
Hyoung Oh KimSung Jin YooPublished in: Int. J. Syst. Sci. (2017)
Keyphrases
- nonlinear systems
- desired trajectory
- tracking error
- adaptive control
- control method
- external disturbances
- adaptive fuzzy
- control law
- stability analysis
- tracking control
- lyapunov function
- fuzzy control
- controller design
- adaptive neural
- closed loop
- fuzzy controller
- learning rate
- fuzzy systems
- sliding mode control
- control system
- adaptive neural control
- control algorithm
- fuzzy model
- control scheme
- tracking accuracy
- control strategy
- fuzzy logic
- genetic algorithm
- dynamic model
- takagi sugeno
- evolutionary computation
- genetic programming
- sliding mode
- evolutionary algorithm
- expert systems
- neural network