Data-driven control for networked systems with multiple packet dropouts

This paper investigates data-driven control for a class of networked control systems with multiple packet dropouts and unknown system parameters. Here, multiple packet dropouts occur randomly in the controller-to-actuator (C/A) and sensor-to-controller (S/C) channels, where successive packet dropouts are limited by known upper bounds. By introducing the summation inequality, a model-based mean-square asymptotic stability condition is established for the closed-loop networked control system with the potential to migrate to a data-driven solution. Then, the data-driven mean-square asymptotic stability condition for the closed-loop system is presented by merging the model-based stability condition with noisy data-parameterized representations. On this basis, the data-driven controller gain design approaches for combining unknown and known input gain matrices are presented in turn. Finally, two simulation examples are provided to show the applicability of the developed approaches.