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Asynchronous Event-Based Set Stabilization of Logical Control Networks and its Applications in Finite-Field Networks

Chen Ouyang, Lulu Li, Yuanyuan Li, Jianquan Lu

2021IEEE Transactions on Control of Network Systems11 citationsDOI

Abstract

In this article, the asynchronous event-triggered control mechanism (AETCM) is introduced to the set stabilization problem of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula> -valued logical control networks (KVLCNs). Under the proposed AETCM, each node of the system updates its event-triggered instants independently. In this case, how to coordinate the behaviors of various nodes is a challenge for us. As for this article, we first transform the set stabilization problem of KVLCNs into the shortest path problem in graph theory and then construct a weighted directed hypergraph. Next, an improved heap-optimized Dijkstra algorithm is designed for the optimal asynchronous event-triggered controller. Furthermore, we study set stabilization of KVLCNs with time delays. In terms of applications, how to flexibly adapt the AETCM to specific models is a difficult problem. In this article, as applications, the consensus of finite-field networks with arbitrary communication delays and synchronization of KVLCNs is investigated. Finally, two numerical examples are shown to illustrate the effectiveness of the proposed algorithms.

Topics & Concepts

Asynchronous communicationComputer scienceTheoretical computer scienceNotationSynchronization (alternating current)Event (particle physics)Finite setDijkstra's algorithmGraph theorySet (abstract data type)Shortest path problemAlgorithmDistributed computingGraphMathematicsComputer networkMathematical analysisProgramming languageCombinatoricsChannel (broadcasting)PhysicsArithmeticQuantum mechanicsGene Regulatory Network AnalysisNeural Networks Stability and SynchronizationAdvanced Memory and Neural Computing