Disturbance rejection via feedforward compensation using an enhanced equivalent-input-disturbance approach.
Youwu DuWeihua CaoJinhua SheMin WuMingxing FangPublished in: J. Frankl. Inst. (2020)
Keyphrases
- feed forward
- disturbance rejection
- back propagation
- limit cycle
- artificial neural networks
- neural network
- neural nets
- output layer
- control system
- hidden layer
- biologically plausible
- recurrent neural networks
- closed loop
- visual cortex
- neural architecture
- recurrent networks
- primate visual cortex
- activation function
- adaptive neural
- artificial intelligence