Resource-Aware Stochastic Self-Triggered Model Predictive Control

This letter considers the control of uncertain systems operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware self-triggered techniques that schedule system operation non-uniformly in time order to balance performance against consumption. When running an environment, unknown disturbances may deteriorate by acting adversarially planned event triggering schedule. In this work, we propose a stochastic predictive scheme tackle challenge, where novel zero-order hold feedback is proposed accommodate time-inhomogeneous update.