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Dynamic event-triggered state estimation for time-delayed spatial-temporal networks under encoding-decoding scheme
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DOI：10.1016/j.neucom.2022.05.062.png)
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Abstract
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This paper is concerned with the dynamic event-triggered state estimation problem for a class of spatial -temporal networks (STNs) with time-varying delays under an encoding-decoding strategy. For the sake of reducing the unnecessary resources wastes, we establish a dynamic event-triggered mechanism to deter-mine whether the current measurement output data is transmitted to the filter, where the threshold is dynamically adjusted according to a certain rule. In order to enhance the robustness of signal transmis-sion, an encoding-decoding strategy is exploited in the process of the data transmission. To be specific, the original signals encoded as a bit string are transmitted through binary symmetric channels with cer-tain crossover probabilities and then restored by a decoder at the receiver. By constructing Lyapunov-Krasovskii functional, we obtain a sufficient condition to ensure that the estimation error system is expo-nential mean square ultimately bounded. Subsequently, the desired state estimator is designed in terms of the solution to a certain matrix inequality. Finally, a numerical example is shown to demonstrate that the proposed state estimator is valid for time-delayed STNs. (c) 2022 Elsevier B.V. All rights reserved.
Keywords:
Dynamic event-triggered mechanism
Encoding-decoding scheme
Spatial -temporal networks
State estimation
Time-delay
Journal
IF:
6.5
Papers:
2.5W
Citations:
6.5W