Sporadic event-based control of first-order linear stochastic systems
By T. Henningsson, Erik Johannesson, A. Cervin. at - Automatisierungstechnik, 2008
310 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/dcc579d30b799248f59de126cdee01c6f368e5e2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- W. M. Heemels
- M.C.F. Donkers
- Zhong-Ping Jiang
- Tengfei Liu
- M. Lemmon
- Antoine Girard
- Qing-Long Han
- Chen Peng
In Computer Networks and Communications
- W. M. Heemels
- M.C.F. Donkers
- Zhong-Ping Jiang
- Tengfei Liu
- M. Lemmon
- Qing-Long Han
- Xiaohua Ge
- Chen Peng
Citations in the corpus
- Output-Based and Decentralized Dynamic Event-Triggered Control With Guaranteed $\mathcal{L}_{p}$- Gain Performance and Zeno-Freeness (2017, unknown): “These include [33], [34], and [36], all using PETC schemes.”
- Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$-Gain and Improved and Decentralized Event-Triggering (2012, methodology): “We illustrate the developed theory using three numerical examples.”
- Event-Triggered Feedback in Control, Estimation, and Optimization (2010, methodology): “This model has also been used to study eventtriggered control [5, 27 ].”
- Model-based periodic event-triggered control for linear systems (2013, background): “This results in so-called periodic event-triggered control (PETC) (Arzén, 1999; Heemels, Donkers, & Teel, 2011, 2013; Heemels et al., 2008; Henningsson et al., 2008; Yook et al., 2002), in which the eventtriggering condition is verified periodically, and every sampling time it is decided whether or…”
- A Small-Gain Approach to Robust Event-Triggered Control of Nonlinear Systems (2015, methodology): “Specifically, in [2], [6], impulsive control methods are developed to keep the states of first-order stochastic systems inside certain thresholds.”