Infinite-Horizon Optimal Wireless Control Over Shared State-Dependent Fading Channels for IIoT Systems
<|reference_start|>Infinite-Horizon Optimal Wireless Control Over Shared State-Dependent Fading Channels for IIoT Systems: Heterogeneous systems consisting of a multiloop wireless control system (WCS) and a mobile agent system (MAS) are ubiquitous in Industrial Internet of Things systems. Within these systems, positions of mobile agents may lead to shadow fading on the wireless channel that the WCS is controlled over and can significantly compromise its performance. This paper focuses on the infinite-horizon optimal control of MAS to ensure the performance of WCS while minimizing an average cost for the heterogeneous system subject to state and input constraints. Firstly, the state-dependent fading channel is modeled, which characterizes the interference among transmission links, and shows that the probability of a successful transmission for WCS depends on the state of MAS. A necessary and sufficient condition in terms of constrained set stabilization is then established to ensure the Lyapunov-like performance of WCS with expected decay rate. Secondly, using the semi-tensor product of matrices and constrained reachable sets, a criterion is presented to check the constrained set stabilization of MAS and to ensure the performance of WCS. In addition, a constrained optimal state transition graph is constructed to address state and input constraints, by resorting to which the feasibility analysis of the optimal control problem is presented. Finally, an algorithm is proposed for the construction of optimal input sequences by minimum-mean cycles for weighted graph. An illustrative example is provided to demonstrate effectiveness of the proposed method.<|reference_end|>
@article{wang2024infinite-horizon,
    title={Infinite-Horizon Optimal Wireless Control Over Shared State-Dependent
  Fading Channels for IIoT Systems},
    author={Shuling Wang, Peizhe Li, Shanying Zhu, Cailian Chen, Xinping Guan},
    journal={arXiv preprint arXiv:2408.15492},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.15492},
    primaryClass={eess.SY cs.SY}
}