Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling

In this paper, a new recursive state estimation problem is discussed for a class of discrete time-varying stochastic complex networks with uncertain inner coupling and signal quantization under the error-variance constraints. The coupling strengths are allowed to be varying within certain intervals,...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 31; H. 6; S. 1955 - 1967
Hauptverfasser:	Hu, Jun, Wang, Zidong, Liu, Guo-Ping, Zhang, Hongxu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Boundedness analysis Complex networks Computer simulation Constraints Coupling Couplings Covariance Error analysis Estimation error Measurement Measurement uncertainty optimal state estimation Quantization (signal) signal quantization State estimation Stochasticity time-varying stochastic complex networks uncertain inner coupling Upper bounds Variance variance-constrained approach
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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