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20012022
most citedSynchronous bursts on scale-free neuronal networks with attractive and repulsive coupling

479 citations · 4.3k across the 100 of their papers we have counts for

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100 papers

eess.SY2022

Sensor Scheduling Design for Complex Networks under a Distributed State Estimation Framework

Peihu Duan, Lidong He, Lingying Huang +2

This paper investigates sensor scheduling for state estimation of complex networks over shared transmission channels. For a complex network of dynamical systems, referred to as nod…

eess.SY2021

Consensus-Based Distributed Filtering with Fusion Step Analysis

Jiachen Qian, Peihu Duan, Zhisheng Duan +2

For consensus on measurement-based distributed filtering (CMDF), through infinite consensus fusion operations during each sampling interval, each node in the sensor network can ach…

cs.AI2021★ 1 cited

Topological and Algebraic Structures of Atanassov's Intuitionistic Fuzzy-Values Space

Xinxing Wu, Tao Wang, Qian Liu +3

We prove that the space of intuitionistic fuzzy values (IFVs) with a linear order based on a score function and an accuracy function has the same algebraic structure as the one ind…

cs.IT2021

Performance Analysis of a Two-Hop Relaying LoRa System

Wenyang Xu, Guofa Cai, Yi Fang +1

The conventional LoRa system is not able to sustain long-range communication over fading channels. To resolve the challenging issue, this paper investigates a two-hop opportunistic…

cs.CR2021★ 34 cited

From Chaos to Pseudo-Randomness: A Case Study on the 2D Coupled Map Lattice

Yong Wang, Zhuo Liu, Leo Yu Zhang +3

Applying chaos theory for secure digital communications is promising and it is well acknowledged that in such applications the underlying chaotic systems should be carefully chosen…

eess.SY2020

A Distributed Optimization Scheme for State Estimation of Nonlinear Networks with Norm-bounded Uncertainties

Peihu Duan, Qishao Wang, Zhisheng Duan +1

This paper investigates the state estimation problem for a class of complex networks, in which the dynamics of each node is subject to Gaussian noise, system uncertainties and nonl…