In this paper, the relation between synchronization and control of chaotic nodes connected through a time–varying network is discussed. In particular, the effects of pinning control on a set of moving chaotic agents are investigated showing that the role of system parameters, like agent density, is critical in order to reach the synchronous behavior and also to control the whole network by pinn...

A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...

Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some regularization of the provides robustness enhances performance. Interestingly, updating parameter processing data continuously time is a desirable strategy to improve performance applications beamforming. While presented works literature assume ...