RBFNN based terminal sliding mode adaptive control for electric ground vehicles after tire blowout on expressway.
Lu YangMing YueYuanchang LiuLie GuoPublished in: Appl. Soft Comput. (2020)
Keyphrases
- adaptive control
- rbfnn
- sliding mode
- variable structure
- radial basis function neural network
- control law
- sensitivity analysis
- function approximation
- rbf neural network
- nonlinear systems
- hybrid algorithm
- neural network
- reinforcement learning
- radial basis function
- control method
- rbf network
- pattern classification
- closed loop
- generalization ability
- control strategy
- hidden layer
- sliding mode control
- hybrid method
- feedback control
- control algorithm
- control theory
- dynamic environments
- control system
- chaotic systems
- optimal control
- extracted features
- control scheme
- multilayer perceptron
- dynamical systems
- machine learning
- learning algorithm
- unmanned aerial vehicles
- support vector
- bp neural network
- path planning
- search space
- computational intelligence
- data fusion
- back propagation
- support vector machine svm
- control parameters
- simulated annealing
- dynamic model