Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 49, Issue 4, Pages 1292-1301Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2018.2799929
Keywords
Extended dissipative state estimation; Markovian coupled networks (MCNs); redundant channels; round-Robin protocol (RRP)
Categories
Funding
- National Natural Science Foundation of China [61304066, 61703004, 61573096, 61272530]
- Natural Science Foundation of Anhui Province [1708085MF165]
- Foundation of Jiangsu Provincial Key Laboratory of Networked Collective Intelligence [BM2017002]
- University Excellent Young Talents Foundation of Anhui Province [gxyqZD2017041]
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In this paper, the problem of generalized state estimation for an array of Markovian coupled networks under the round-Robin protocol (RRP) and redundant channels is investigated by using an extended dissipative property. The randomly varying coupling of the networks under consideration is governed by a Markov chain. With the aid of using the RRP, the transmission order of nodes is availably orchestrated. In this case, the probability of occurrence data collisions through a shared constrained network may be reduced. The redundant channels are also used in the signal transmission to deal with the frangibility of networks caused by a single channel in the networks. The network induced phenomena, that is, randomly occurring packet dropouts and randomly occurring quantization are fully considered. The main purpose of the research is to find a desired estimator design approach such that the extended (Omega(1), Omega(2), Omega(3)) - gamma-stochastic dissipativity property of the estimation error system is guaranteed. In terms of the Lyapunov-Krasovskii methodology, the Kronecker product and an improved matrix decoupling approach, sufficient conditions for such an addressed problem are established by means of handling some convex optimization problems. Finally, the serviceability of the proposed method is explained by providing an illustrated example.
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