Yaluo Wang

Improved sliding mode control of direct-drive electro-hydrostatic actuator based on adaptive neural network

An adaptive learning rate dynamically varying with the observation error is developed and incorporated into the weight updating law of the neural network, which improves the real-time nonlinear approximation accuracy for unknown disturbances.