Journal
NEUROCOMPUTING
Volume 346, Issue -, Pages 38-47Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2018.07.085
Keywords
Complex networks; Stochastic communication protocol; Resilient state estimation; Time-delay; Exponentially ultimate boundedness
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Funding
- National Natural Science Foundation of China [11271103, 61673141]
- Fok Ying Tung Education Foundation of China [151004]
- University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province of China [UNPYSCT-2016029]
- Natural Science Foundation of Heilongjiang Province of China [A2018007]
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In this paper, the resilient state estimation problem is discussed for a class of discrete nonlinear complex networks with time-delay subject to the stochastic communication protocol (SCP). The SCP is employed to determine which node has the priority of accessing to the communication networks at each transmission instant. A switch-based approach is utilized to establish the updating rule of the measurement output under the SCP. The aim of the paper is to design a resilient state estimator for the addressed complex networks with time-delay and SCP, where sufficient conditions are given to ensure that the estimation error is exponentially ultimate bounded in the mean-square sense and the asymptotic upper bound of the estimation error is given. Moreover, the expression forms of the desired estimator gains are obtained via the solutions to a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the validity of the proposed resilient state estimation method. (C) 2019 Elsevier B.V. All rights reserved.
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