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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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 31; číslo 6; s. 1955 - 1967
Hlavní autori:	Hu, Jun, Wang, Zidong, Liu, Guo-Ping, Zhang, Hongxu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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