Dynamic Event-Driven State Estimation for Complex Networks via Partial Nodes' Sampled Outputs: An Encoding-Decoding Scheme

In this article, the encoding-decoding-based state estimation problem is investigated for a class of continuous-time nonlinear complex networks (CNs) subject to communication bandwidth constraints. Based on the sampled outputs from a subset of network nodes, a novel dynamic event-driven encoding mec...

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Vydáno v:IEEE transactions on cybernetics Ročník PP; s. 1 - 14
Hlavní autoři: Liu, Yurong, Wang, Zidong, Yu, Luyang, Zhang, Wenbing
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 11.11.2025
Témata:
Bandwidth
Complex networks
Complex networks (CNs)
Data communication
Decoding
dynamic event-driven mechanism
Encoding
encoding-decoding scheme
Estimation error
Hardware
partial nodes
Power system dynamics
sampled data
State estimation
Symmetric matrices
ISSN:2168-2267, 2168-2275, 2168-2275
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Shrnutí:In this article, the encoding-decoding-based state estimation problem is investigated for a class of continuous-time nonlinear complex networks (CNs) subject to communication bandwidth constraints. Based on the sampled outputs from a subset of network nodes, a novel dynamic event-driven encoding mechanism is integrated into the design of state estimator, where a time-varying auxiliary parameter is utilized to modulate the triggering condition in a dynamical fashion, enabling the event detector to decide whether the data packet should be released at the periodic sampling instants. Specifically, when the dynamic triggering condition is satisfied, the data are first encoded into a codeword and subsequently transmitted to the estimator through a digital communication channel. The Zeno behavior can be naturally prevented due to the periodic feature of the proposed event detector. By leveraging the Lyapunov theory and the matrix inequality techniques, sufficient conditions are established to ensure the exponential stability of the estimation error system. In addition, a convex optimization approach is employed to design the estimator gain with the goal of maximizing the allowable bound of the sampling intervals. Finally, an illustrative example and a practical example involving a three-area power system are provided to showcase the effectiveness of the proposed state estimation method.
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ISSN:2168-2267
2168-2275
2168-2275
DOI:10.1109/TCYB.2025.3626067