Average Communication Rate for Networked Event-Triggered Stochastic Control Systems

Quantifying the average communication rate (ACR) of a networked event-triggered stochastic control system (NET-SCS) with deterministic thresholds is challenging due to the nonstationary nature of the system's stochastic processes. For a NET-SCS, the propagation of nonlinear statistics of the network communication status brought up by deterministic thresholds makes the precise computation of ACR difficult. Previous work used to oversimplify the computation using a Gaussian distribution without incorporating this nonlinearity, leading to sacrificed precision. This article proposes a novel approach to calculate the exact ACR for a NET-SCS using a recursive model. We use theoretical analysis and a numerical study to qualitatively evaluate the deviation gap of the conventional approach that ignores the side information. The accuracy of our proposed method, alongside its comparison with the simplified results of the conventional approach, is validated by experimental studies. Our work is promising to benefit the efficient resource planning of networked control systems with limited communication resources by providing accurate ACR computation.

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Publication Details

Journal
IEEE Transactions on Control of Network Systems
Published
2025-02-28
DOI
https://doi.org/10.1109/tcns.2025.3546788
Citations
2
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
2.97
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article

Average Communication Rate for Networked Event-Triggered Stochastic Control Systems

Sandra Hirche, Mohammad H. Mamduhi, Qingchen Liu, Zengjie Zhang
2 citations
IEEE Transactions on Control of Network Systems
Distributed systems and fault tolerance
2.97
article

Average Communication Rate for Networked Event-Triggered Stochastic Control Systems

Sandra Hirche, Mohammad H. Mamduhi, Qingchen Liu, Zengjie Zhang
article en
2 citations

Abstract

Quantifying the average communication rate (ACR) of a networked event-triggered stochastic control system (NET-SCS) with deterministic thresholds is challenging due to the nonstationary nature of the system's stochastic processes. For a NET-SCS, the propagation of nonlinear statistics of the network communication status brought up by deterministic thresholds makes the precise computation of ACR difficult. Previous work used to oversimplify the computation using a Gaussian distribution without incorporating this nonlinearity, leading to sacrificed precision. This article proposes a novel approach to calculate the exact ACR for a NET-SCS using a recursive model. We use theoretical analysis and a numerical study to qualitatively evaluate the deviation gap of the conventional approach that ignores the side information. The accuracy of our proposed method, alongside its comparison with the simplified results of the conventional approach, is validated by experimental studies. Our work is promising to benefit the efficient resource planning of networked control systems with limited communication resources by providing accurate ACR computation.

IEEE Transactions on Control of Network SystemsVol. 12(3)
University of Science and Technology of China (CN), Technical University of Munich (DE), University of Birmingham (GB), Eindhoven University of Technology (NL)
Openalex Percentile: Top 10%
Distributed systems and fault tolerance
2.97
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Average Communication Rate for Networked Event-Triggered Stochastic Control Systems — Sandra Hirche, Mohammad H. Mamduhi, et al. · IEEE Transactions on Control of Network Systems (2025) | TGRS Research Map | TGRS