Disturbance Decoupling Problem of Delayed Boolean Networks Based on the Network Structure

Li, Lulu; Zhang, Anguo; Lu, Jianquan

doi:10.1109/tcsii.2022.3214747

Cited by 3 publications

(1 citation statement)

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“…Reference 95 considered two types of random delay in measurements, and discussed the state estimation of TBCNs with stochastic disturbances coming from measurements with random delay. Reference 96 investigated the disturbance decoupling problem of TBCNs, and provided the algorithm to select the minimum pinning nodes.…”

Section: Resultsmentioning

confidence: 99%

A survey on applications of the semi‐tensor product method in Boolean control networks with time delays

Mu,

Feng

2023

Engineering Reports

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SummaryAs regulatory networks that simulate and establish gene interactions, Boolean networks (BNs) exhibit significant delays in state updates or trajectory tracking due to environmental factors in practical applications. This paper provides a comprehensive knowledge overview of Boolean control networks with time delays (TBCNs) via the semi‐tensor product theory (STP), which includes the history of BNs, the property of STP, several issues of TBCNs and future prospects. The related problems contain controllability and reachability, observability and detectability, stability and stabilization, synchronization, output tracking and regulation, and other issues. Finally, it also points out that some areas still need further research and promotion, such as disturbance decoupling, system decomposition, identification, deep reinforcement learning, and so forth.

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Section: Resultsmentioning

confidence: 99%