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Fengqi Yao

dblp:92/11342 · DBLP profile ↗
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8ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-6680-5264ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1

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.

Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Mathematical optimization › dynamical systems
stability analysis
0.112012
Stability of impulsive stochastic functional differential systems in terms of two measures via comparison approach · Sci. China Inf. Sci. 2012

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

comparison approach · 0.1
YearPublicationVenuePosition
2023 Robust exponential stability of discrete-time uncertain impulsive stochastic neural networks with delayed impulses
Ting Cai 0004, Fengqi Yao, Mingang Hua
Neural Networks3
2018 Robust H∞ filtering for continuous-time nonhomogeneous Markov jump nonlinear systems with randomly occurring uncertainties
Mingang Hua, Fengqi Yao, Jianjun Ni, Weili Dai, Yaling Cheng
Signal Process.3
2017 Delay-dependent L2-L∞ filtering for fuzzy neutral stochastic time-delay systems
Mingang Hua, Fengqi Yao, Juntao Fei 0001, Jianjun Ni
Signal Process.2
2016 Mixed H2/H∞ control of markovian jump time-delay systems with uncertain transition probabilities
Li Qiu 0003, Bo Zhang 0019, Fengqi Yao
Inf. Sci.5
2016 Output Feedback Guaranteed Cost Control for Networked Control Systems With Random Packet Dropouts and Time Delays in Forward and Feedback Communication Links
abstract
This study focuses on the output feedback guaranteed cost control issue for networked control systems with random packet dropouts and time delays. The plant considered in this study is characterized by an uncertain linear discrete-time system, wherein random packet dropouts and time delays exist in forward controller-to-actuator and feedback sensor-to-controller communication links that are modeled as unified multiple Markov chains. The resulting closed-loop system is modeled as a Markovian jump linear system. The guaranteed cost control issue is solved via Lyapunov stability theory and the linear matrix inequality approach. The design of the mode-independent robust output feedback controller is derived under the Markov jump unified framework. The closed-loop system is not only stochastically stable but it also guarantees an adequate level of performance. A simulation example illustrates the effectiveness of the proposed method.
Li Qiu 0003, Fengqi Yao, Shanbin Li, Bugong Xu
IEEE Trans Autom. Sci. Eng.2
2015 Network-Based Robust H2/H∞ Control for Linear Systems With Two-Channel Random Packet Dropouts and Time Delays
abstract
This paper focuses on the robust output feedback H₂/H∞ control issue for a class of discrete-time networked control systems with uncertain parameters and external disturbance. Sensor-to-controller and controller-to-actuator packet dropouts and time delays are considered simultaneously. According to the stochastic characteristic of the packet dropouts and time delays, a model based on a Markov jump system framework is proposed to randomly compensate for the adverse effect of the two-channel packet dropouts and time delays. To analyze the robust stability of the resulting closed-loop system, a Lyapunov function is proposed, based on which sufficient conditions for the existence of the H₂/H∞ controller are derived in terms of linear matrix inequalities, ensuring robust stochastic stability as well as the prescribed H₂ and H∞ performance. Finally, an angular positioning system is exploited to demonstrate the effectiveness and applicability of the proposed design strategy.
Li Qiu 0003, Yang Shi 0001, Fengqi Yao, Bugong Xu
IEEE Trans. Cybern.3
2014 Dissipativity-based state estimation for Markov jump discrete-time neural networks with unreliable communication links
Jing Wang 0071, Fengqi Yao, Hao Shen 0001
Neurocomputing2
2012 Stability of impulsive stochastic functional differential systems in terms of two measures via comparison approach
Fengqi Yao, Feiqi Deng
Sci. China Inf. Sci.1