A recurrent TSK interval type-2 fuzzy neural networks control with online structure and parameter learning for mobile robot trajectory tracking.
Aissa BencherifFatima ChouirebPublished in: Appl. Intell. (2019)
Keyphrases
- structure and parameter learning
- fuzzy neural network
- trajectory tracking
- mobile robot
- visual servoing
- fuzzy rules
- control strategy
- neural network structure
- input output
- control system
- neuro fuzzy
- conditional independence
- sliding mode
- closed loop
- control method
- membership functions
- control law
- structure learning
- dynamic model
- fuzzy logic
- adaptive neural
- iterative learning
- physical constraints
- fuzzy controller
- robot manipulators
- neural network controller
- neural network
- fuzzy control
- fuzzy model
- fuzzy logic controller
- control algorithm
- motion planning
- recurrent neural networks
- fuzzy sets
- control scheme
- bayesian networks
- optimal control
- control theory
- rule base
- feed forward
- transfer learning
- prediction model
- stability analysis
- graphical models
- training data
- machine learning