Resource-Aware Stochastic Self-Triggered Model Predictive Control

• DOI: 10.48550/arxiv.2103.05681
• Publication Date: 2021-01-01
• Authors: Yingzhao Lian; Yuning Jiang; Naomi Stricker; Lothar Thiele; Colin N. Jones
• Keywords: Model Predictive Control; Resource consumption

This paper considers the control of uncertain systems that are operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware self-triggered techniques 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.