An asymptotically stable robust controller formulation for a class of MIMO nonlinear systems with uncertain dynamics.
Baris BidikliEnver TatliciogluErkan ZergerogluAlper BayrakPublished in: Int. J. Syst. Sci. (2016)
Keyphrases
- nonlinear systems
- adaptive neural control
- control law
- linear matrix inequality
- tracking error
- robust stability
- lyapunov function
- controller design
- tracking control
- adaptive control
- adaptive neural
- stability analysis
- adaptive fuzzy
- fuzzy controller
- takagi sugeno
- control scheme
- closed loop
- inverted pendulum
- control system
- fuzzy model
- fuzzy systems
- control strategy
- learning rate
- dynamical systems
- fuzzy control
- dynamic model
- control algorithm
- sufficient conditions
- semidefinite programming
- control method
- fuzzy logic controller
- variable structure
- input output
- asymptotic stability
- optimal control
- dead zone
- sliding mode
- pid controller
- robot manipulators
- neural network
- evolutionary computation
- least squares
- evolutionary algorithm
- expert systems
- machine learning