Jing Wang 0071

dblp:02/736-71 · DBLP profile ↗
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6ranked-venue papers in the field
1as first author
6since 2021 · last 2024
0000-0002-5519-9016ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 6 (1 first)
YearPublicationVenuePosition
2024 Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming
Hao Shen 0001, Jing Wang 0071, Jinde Cao
Inf. Sci.3
2024 Q-learning-based non-zero sum games for Markov jump multiplayer systems under actor-critic NNs structure
Yun Wang 0025, Jiawei Xia, Jing Wang 0071, Hao Shen 0001
Inf. Sci.3
2023 Distributed consensus for nonlinear multi-agent systems with two-time-scales: A hybrid reinforcement learning consensus algorithm
Chuanjun Peng, Jianwei Xia, Jing Wang 0071, Hao Shen 0001
Inf. Sci.3
2023 Non-fragile output feedback control for PDT-switched fuzzy systems under weighted try-once-discard protocol and its application
abstract
In this work, the non-fragile output feedback control problem is discussed for persistent dwell-time switched nonlinear systems . In order to make full use of the bandwidth in communication networks, the weighted try-once-discard protocol is adopted to connect only one sensor with communication networks at a instant via the maximum-error-first policy. It is worth noticing that via using the weighted try-once-discard protocol, the information received by the controller becomes less such that the gains of the controller may be more susceptible to the internal and external environment. Therefore, the non-fragile output-feedback fuzzy control scheme is employed for maintaining the performance of controllers under such a protocol. Then, based on suitable augmented multiple Lyapunov-like functions, sufficient conditions are derived to ensure the stochastically globally uniform exponential stability and a fixed H ∞ performance for the resulted closed-loop system. Furthermore, through solving those conditions, the design approach of the desired controller can be developed. The feasibility of the established approach is illustrated via a example and a truck-trailer model.
Hao Shen 0001, Xinmiao Liu, Jing Wang 0071, Kaibo Shi
Inf. Sci.3
2021 Finite-time energy-to-peak fuzzy filtering for persistent dwell-time switched nonlinear systems with unreliable links
Hao Shen 0001, Xinmiao Liu, Jianwei Xia, Xiangyong Chen, Jing Wang 0071
Inf. Sci.5
2021 Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism
Jing Wang 0071, Jianwei Xia, Ju H. Park 0001, Hao Shen 0001
Inf. Sci.1