A deconvolution-based model predictive control scheme for resilient and maintenance requirements in cyber-physical systems

In this paper, a constrained regulation problem for networked control systems, whose plants are described by polytopic linear descriptions with a partial state availability, is considered when the communication medium is unreliable. To address the issue, an ad-hoc state-estimate control architecture has been deployed via a robust model predictive control strategy that is resilient in achieving regulation goals. Additionally, the proposed scheme is designed to prevent communication disconnections in situations where reaching the origin goal is not viable. A final solid numerical example puts in light the effectiveness and the main benefits of the proposed solution.