Does Synergetic Comparison of Chen Pinning Versus Siljak Decentralized Controls Yield Intelligent Dynamic Graphs?

This paper explores the controlled multi-networks of complex dynamical networks in which nodes are assumed to represent nonlinear dynamical systems. This multi-network systemic structure is assumed to be endowed by adequate communication networks in which, for study sake, the intra-node and the out-node inter-connections are distinguished. In turn, via multi-networks operating at control stabilized steady-state orbits (hidden isolated equilibrium or oscillation) of its node systems, possibly with faulty interconnections, certain confluence parallels between Siljak's coordinator and Chen's random-pinning supervisory controls emerge. Thus these findings are summarized in three novel propositions emphasizing their identical or similar roles. The supervisory control integrated complex multi-networks with locally stabilized nonlinear node dynamical systems emerge of paramount importance in the engineering cybernetics.

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Published
2024-08-29
DOI
https://doi.org/10.1109/is61756.2024.10705260
Primary Topic
Cognitive Computing and Networks
Type
article
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article

Does Synergetic Comparison of Chen Pinning Versus Siljak Decentralized Controls Yield Intelligent Dynamic Graphs?

Janusz Kacprzyk, Guang‐Hong Yang, Georgi M. Dimirovski
Cognitive Computing and Networks
article

Does Synergetic Comparison of Chen Pinning Versus Siljak Decentralized Controls Yield Intelligent Dynamic Graphs?

Janusz Kacprzyk, Guang‐Hong Yang, Georgi M. Dimirovski
article en

Abstract

This paper explores the controlled multi-networks of complex dynamical networks in which nodes are assumed to represent nonlinear dynamical systems. This multi-network systemic structure is assumed to be endowed by adequate communication networks in which, for study sake, the intra-node and the out-node inter-connections are distinguished. In turn, via multi-networks operating at control stabilized steady-state orbits (hidden isolated equilibrium or oscillation) of its node systems, possibly with faulty interconnections, certain confluence parallels between Siljak's coordinator and Chen's random-pinning supervisory controls emerge. Thus these findings are summarized in three novel propositions emphasizing their identical or similar roles. The supervisory control integrated complex multi-networks with locally stabilized nonlinear node dynamical systems emerge of paramount importance in the engineering cybernetics.

Systems Research Institute (PL), Ss. Cyril and Methodius University in Skopje (MK), Northeastern University (CN), Polish Academy of Sciences (PL)
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Openalex Percentile: Top 85%
Cognitive Computing and Networks
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