Finite-Horizon Variance-Constrained H∞ Estimation for Complex Networks Subject to Dynamical Bias Using Binary Encoding Schemes

• Published in: IEEE access p. 1
• Main Authors: Li, Weijian, Hou, Nan, Yang, Fan, Bu, Xianye, Sun, Ligang
• Format: Journal Article
• Language: English
• Published: IEEE 11.12.2023
• Subjects: binary encoding schemes; Complex networks; dynamical bias; Encoding; Estimation; Q measurement; Quantization (signal); stochastic nonlinearities; Stochastic processes; Time-varying complex networks; Upper bound; variance-constrained state estimation

In this article, a variance-constrained H ∞ state estimation issue is dealt with for a type of nonlinear time-varying complex networks affected by dynamical bias under binary encoding schemes (BESs). The BESs are used during signal transmission in view of the security of binary bit strings. The stoc...