Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer.
Chen TangZhuo XuMasayoshi TomizukaPublished in: IEEE Trans. Intell. Transp. Syst. (2020)
Keyphrases
- neural network
- real time
- external disturbances
- adaptive neural
- adaptive fuzzy
- artificial neural networks
- reference trajectory
- particle filter
- back propagation
- neural network controller
- closed loop
- kalman filter
- control strategy
- sliding mode control
- tracking error
- intelligent vehicles
- recurrent neural networks
- control system
- control scheme
- control law
- neural model
- visual tracking
- radial basis function
- transfer learning
- neural network model
- bp neural network
- fuzzy logic
- control policy
- object tracking
- fault diagnosis
- iterative learning control
- desired trajectory
- matlab simulation
- elman network
- single neuron
- hopfield neural network
- nonlinear systems
- optimal control
- associative memory
- power system