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Yi Zhao 0002

dblp:51/4138-2 · DBLP profile ↗
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11ranked-venue papers
0as first author
5since 2021 · last 2026
0000-0002-1765-8787ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7 · 2 since 2021Systems, architecture and hardware · 2 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%
Artificial intelligence
1 paper
Multi-agent systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
networked control systems
1.012026
Robust model predictive control for perturbed nonlinear multi-agent systems via dynamic event-triggered scheme · Sci. China Inf. Sci. 2026
Knowledge, reasoning and agents › Multi-agent systems
multi-agent control
0.312026
Robust model predictive control for perturbed nonlinear multi-agent systems via dynamic event-triggered scheme · Sci. China Inf. Sci. 2026

Methods — techniques the papers use, named apart from their topics

model predictive control · 2.0dynamic event-triggered scheme · 2.0
YearPublicationVenuePosition
2026 Robust model predictive control for perturbed nonlinear multi-agent systems via dynamic event-triggered scheme
Jianwen Feng, Yi Zhao 0002, Tingwen Huang, Xinzhi Liu, Jingyi Wang 0001
Sci. China Inf. Sci.3
2025 Synchronization of nonlinear neural networks with hybrid couplings and uncertain time-varying perturbations: A novel distributed-delay impulsive comparison principle
Hongguang Fan, Kaibo Shi, Yi Zhao 0002
Neurocomputing3
2024 Prespecified-Time Bipartite Consensus of Multi-Agent Systems via Intermittent Control
abstract
This paper deals with prespecified-time bipartite consensus (PTBC) for leaderless and leader-following multi-agent systems (MASs) via intermittent control. A unified framework for realizing prespecified-time (PT) intermittent control is developed and analyzed theoretically. On the basis of the communication network with cooperative-competitive interaction, both PTBC of leaderless MAS and leader-following MAS are considered. And the distributed controllers rather than the centralized controllers are designed to realize PTBC of the corresponding controlled systems respectively. Further, it is shown that the designed controller is uniformly bounded even though the time-varying feedback gain in the designed controller tends to infinity as time tends to the settling time. Finally, some numerical examples on actual circuit systems are represented to substantiate the validity and application of our theoretical results.
Xingting Geng, Jianwen Feng, Jingyi Wang 0001, Na Li 0013, Yi Zhao 0002
IEEE Trans. Circuits Syst. I Regul. Pap.5
2021 Pinning synchronization for delayed coupling complex dynamical networks with incomplete transition rates Markovian jump
Jianwen Feng, Jingyi Wang 0001, Juan Deng, Yi Zhao 0002
Neurocomputing5
2021 Secure synchronization of stochastic complex networks subject to deception attack with nonidentical nodes and internal disturbance
Jianwen Feng, Jiaming Xie, Jingyi Wang 0001, Yi Zhao 0002
Inf. Sci.4
2020 Quasi-synchronization of neural networks with diffusion effects via intermittent control of regional division
Jiayi Cai, Jianwen Feng, Jingyi Wang 0001, Yi Zhao 0002
Neurocomputing4
2019 Pinning synchronization for reaction-diffusion neural networks with delays by mixed impulsive control
Chengbo Yi, Chen Xu 0004, Jianwen Feng, Jingyi Wang 0001, Yi Zhao 0002
Neurocomputing5
2019 Pinning Synchronization of Nonlinear and Delayed Coupled Neural Networks with Multi-weights via Aperiodically Intermittent Control
Chengbo Yi, Jianwen Feng, Jingyi Wang 0001, Chen Xu 0004, Yi Zhao 0002, Yanhong Gu
Neural Process. Lett.5
2017 Quasi-synchronization analysis for nonlinearly-coupled complex networks with an asymmetrical coupling matrix via aperiodically intermittent pinning control
abstract
In this paper, the quasi-synchronization of a class of nonlinearly-coupled complex networks is studied. Different from the previous works, a distinguishing characteristic of this work is that the coupling matrix of nonlinear coupled networks is asymmetrical. The effect of time-varying delay in dynamical networks is also considered. By utilizing the aperiodically intermittent pinning control technique, some more general sufficient conditions to guarantee global quasi-synchronization are derived. Finally, a numerical simulation is presented to demonstrate the efficiency of the theoretical findings.
Jianwen Feng, Yi Zhao 0002, Jingyi Wang 0001
IECON3
2016 Pinning synchronization of nonlinearly coupled complex networks with time-varying delays using M-matrix strategies
Jingyi Wang 0001, Jianwen Feng, Chen Xu 0004, Yi Zhao 0002, Jiqiang Feng
Neurocomputing4
2015 Global synchronization of nonlinear coupled complex dynamical networks with information exchanges at discrete-time
Jianwen Feng, Yi Zhao 0002
Neurocomputing3