Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances.
Shakiba YaghoubiGeorgios FainekosSriram SankaranarayananPublished in: ITSC (2020)
Keyphrases
- neural network
- control system
- training process
- training algorithm
- feedforward neural networks
- neural network controller
- control strategy
- control loop
- neural network training
- controller design
- feed forward neural networks
- inverted pendulum
- adaptive control
- adaptive neural
- cmac neural network
- multi layer perceptron
- training patterns
- iterative learning control
- control method
- power system
- artificial neural networks
- backpropagation algorithm
- recurrent networks
- self organizing maps
- feedback control
- control strategies
- closed loop
- impedance control
- train a neural network
- training data
- reinforcement learning
- motor learning
- training set
- proportional integral derivative
- fuzzy logic
- fuzzy systems
- genetic algorithm
- basis functions
- control policy
- control theory
- robot control
- radial basis function
- neural network model
- optimal control
- control law
- pid controller
- control algorithm