Neural-networks-based adaptive asymptotic tracking control of MIMO stochastic non-strict-feedback nonlinear systems with full state constraints and unknown control gains.
Wei SuXudong ZhaoBen NiuGuangju ZhangHuanqing WangPublished in: Neurocomputing (2022)
Keyphrases
- tracking control
- nonlinear systems
- adaptive neural
- adaptive control
- neural network
- fuzzy systems
- adaptive fuzzy
- controller design
- inverted pendulum
- fuzzy control
- control law
- tracking error
- fuzzy model
- control method
- fuzzy controller
- learning rate
- feedback control
- lyapunov function
- feed forward
- nonlinear functions
- pattern recognition
- fuzzy logic
- control system
- artificial neural networks
- fuzzy neural network
- back propagation
- dynamic environments
- artificial intelligence
- sliding mode control
- machine learning
- recurrent neural networks
- least squares