Hierarchical fuzzy CMAC control for nonlinear systems.
Floriberto Ortiz-RodríguezJosé de Jesús RubioCarlos-Roman Mariaca-GasparJulio César TovarMarco A. Moreno-ArmendárizPublished in: Neural Comput. Appl. (2013)
Keyphrases
- nonlinear systems
- adaptive fuzzy
- fuzzy controller
- adaptive control
- takagi sugeno
- inverted pendulum
- controller design
- tracking control
- fuzzy systems
- adaptive neural
- fuzzy model
- fuzzy control
- stability analysis
- control method
- control system
- fuzzy logic controller
- adaptive neural control
- control strategy
- sliding mode control
- parallel distributed compensation
- variable structure
- lyapunov function
- cerebellar model articulation controller
- control law
- sliding mode
- fault tolerant control
- dead zone
- tracking error
- fuzzy rules
- fuzzy sets
- learning rate
- input output
- robot control
- fuzzy logic
- fuzzy neural network
- membership functions
- information granulation
- control algorithm
- lyapunov stability
- control scheme
- artificial neural networks
- rule base
- soft computing
- fuzzy clustering
- evolutionary computation
- robot manipulators
- fuzzy inference system
- robust stability
- dynamic environments
- dynamic programming
- evolutionary algorithm
- neural network