Event-based H∞ filtering for sampled-data systems
By Xianming Zhang, Qing-Long Han. at - Automatisierungstechnik, 2015
322 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/c584ec7498d22fbda56f556a38c28691038334b7
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In Computational Theory and Mathematics
In Computer Networks and Communications
In Control and Systems Engineering
Citations in the corpus
- A Dynamic Event-Triggered Transmission Scheme for Distributed Set-Membership Estimation Over Wireless Sensor Networks (2019, unknown): “To make a concept of a “dynamic ETS” clear, we first introduce its counterpart of a “static ETS,” which has been widely studied in [29], [31]–[34], [36], [40]–[44] and references therein.”
- Survey on Recent Advances in Networked Control Systems (2016, background): “, L2 analysis and control design [42], tracking control [79], dynamic output feedback control [77] [78], H∞ filtering [80], and consensus of multiagent systems [81].”
- An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, unknown): “time-triggered scheme in reducing unnecessary utilization of limited communication and computation resources [39], [40].”
- Networked control systems: a survey of trends and techniques (2020, background): “Ω1 = Ω −1 2 where and are two different weighting symmetric positive definite matrices [107], [108].”
- An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems (2017, methodology): “As for the weighting matrix Ω, which is inspired by an S-procedure, it aims just to " enhance " the feasibility of the obtained stability criteria [20] where Ω 1 > 0 and Ω 2 > 0, the feasibility of the derived stability criteria will be further " enhanced, " but it may be potential that less…”