Online trajectory generation and feedforward control for manually-driven cranes with input constraints.
Matthias ThomasTimothy WernerOliver SawodnyPublished in: CCTA (2021)
Keyphrases
- feed forward
- adaptive neural
- neural nets
- back propagation
- artificial neural networks
- recurrent neural networks
- online learning
- neural network
- biologically plausible
- control signals
- output layer
- artificial neural
- neural architecture
- hidden layer
- visual cortex
- control system
- recurrent networks
- control method
- pwm rectifier
- physical constraints
- feed forward neural networks
- control strategy
- basis functions
- input output
- spiking neurons
- input data
- scheduling problem
- error back propagation
- machine learning