Infinite-horizon optimal scheduling for feedback control
<|reference_start|>Infinite-horizon optimal scheduling for feedback control: Emerging cyber-physical systems impel the development of communication protocols to efficiently utilize resources. This paper investigates the optimal co-design of control and scheduling in networked control systems. The objective is to co-design the control law and the scheduling mechanism that jointly optimize the tradeoff between regulation performance and communication resource consumption in the long run. The concept of the value of information (VoI) is employed to evaluate the importance of data being transmitted. The optimal solution includes a certainty equivalent control law and a stationary scheduling policy based on the VoI function. The closed-loop system under the designed scheduling policy is shown to be stochastically stable. By analyzing the property of the VoI function, we show that the optimal scheduling policy is symmetric and is a monotone function when the system matrix is diagonal. Moreover, by the diagonal system matrix assumption, the optimal scheduling policy is shown to be of threshold type. Then we provide a simplified yet equivalent form of the threshold-based optimal scheduling policy. The threshold value searching region is also given. Finally, the numerical simulation illustrates the theoretical result of the VoI-based scheduling.<|reference_end|>
@article{wang2024infinite-horizon,
    title={Infinite-horizon optimal scheduling for feedback control},
    author={Siyi Wang and Sandra Hirche},
    journal={arXiv preprint arXiv:2402.08819},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.08819},
    primaryClass={eess.SY cs.SY}
}