Abstract
The stability guarantee of wireless networked control systems is still challenging due to the complex interaction among the layers and the vulnerability to network faults, such as link and node failures. In this paper, we propose a robust wireless sensor and actuator network (R-WSAN) to maintain the control stability of multiple plants over the spatial-temporal changes of wireless networks. The proposed joint design protocol combines the distributed controller of control systems and the clustering, resource scheduling, and control task sharing scheme of wireless networks over a hierarchical cluster-based network. In particular, R-WSAN decouples the tasks from the inherently unreliable nodes and allows control tasks to share between nodes of wireless networks. Our simulations demonstrate that R-WSAN provides the enhanced resilience to the network faults for sensing and actuation without significantly disrupting the control performance.
Highlights
Embedded wireless sensor and actuator networks (WSAN) are becoming a fundamental network infrastructure to monitor and operate the safety-critical automation systems since they provide many benefits, such as low installation and maintenance costs in adversarial environments [1,2,3,4]
This paper focuses on the joint design problem of wireless networked control systems (WNCS) to systematically explore the interactions between control systems and wireless networks
We propose the centralized clustering method based on the information of both the complete topology of wireless networks and all plants of control systems
Summary
Embedded wireless sensor and actuator networks (WSAN) are becoming a fundamental network infrastructure to monitor and operate the safety-critical automation systems since they provide many benefits, such as low installation and maintenance costs in adversarial environments [1,2,3,4]. To achieve the robust WNCSs, there is a strong need to rethink the wireless network design for the reliable closed-loop control [15]. Current approaches for NCSs generally rely on a minimal set of reliability and delay requirements based on unrealistic assumptions of wireless networks [16,17]. This does not guarantee the stability of control systems in practice. By considering the control stability requirement, R-WSAN achieves the high robust performance by combining the distributed controller of control systems and the network clustering, resource scheduling, and control task sharing between nodes of wireless networks.
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