AN Improving NCS Stabilization Using a Predictive Pulsed Control Law


  • Oriol Castillo
  • Héctor Bení­tez-Pérez UNAM


networked control systems, digital control, Bayesian prediction


The aim in this paper is experimentally to show that a predictive pulsed control law is able to enlarge the stabilizing sampling periods of a networked control system (NCS) more than the classical predictive ZOH-control law. Additionally, using a comparisson in the system response between the predictive pulsed control law and the predictive ZOH-control law, it is obtained that the pulsed control law requires less energy consumption to stabilize a NCS exposed to large time-delays. A 3-DOF Hover is used as case study.


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