We study the stabilization problem of a linear time-invariant system with an unknown stochastic input delay. propose to robustly compensate for delay constant time horizon prediction-based controller. prove mean-square exponential closed-loop under sufficient condition, which requires range values be sufficiently narrow and used in controller chosen this range. Numerical simulations illustrate ...

Sensory prediction error, which is the difference between actual and predicted sensory consequences, is a driving force of motor learning. Thus, appropriate temporal associations between the actual sensory feedback signals and motor commands for predicting sensory consequences are crucial for the brain to calculate the sensory prediction error accurately. Indeed, it has been shown that artifici...

In exploring the flight delay problem, traditional deep learning algorithms suffer from low accuracy and extreme computational complexity; therefore, prediction algorithm is difficult to directly deploy mobile terminal. this paper, a model based on lightweight network ECA-MobileNetV3 proposed. The first preprocesses data with real information weather information. Then, in order increase of with...