Self-Triggered Feedback Control Systems With Finite-Gain ${\cal L}_{2}$ Stability
By Xiaofeng Wang, M. Lemmon. IEEE Transactions on Automatic Control, 2009
677 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/2dd8e895b6e47bd2376c75fca6d4780e6fa5a85e
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
- Qing-Long Han
- Antoine Girard
- W. M. Heemels
- Chen Peng
- Xianming Zhang
- Zhong-Ping Jiang
- M.C.F. Donkers
- Karl Henrik Johansson
In Computer Networks and Communications
In Hardware and Architecture
- Antoine Girard
- Qing-Long Han
- W. M. Heemels
- M. Lemmon
- M.C.F. Donkers
- Chen Peng
- Karl Henrik Johansson
- Dimos V. Dimarogonas
Citations in the corpus
- Output-Based and Decentralized Dynamic Event-Triggered Control With Guaranteed $\mathcal{L}_{p}$- Gain Performance and Zeno-Freeness (2017, background): “Examples of resourceaware control strategies include self-triggered control, see [7]–[12], and event-triggered control, see [13]–[18] for some early approaches, and see [19] for a recent overview.”
- Dynamic Triggering Mechanisms for Event-Triggered Control (2013, methodology): “Also, dynamic ETM could be used to derive new algorithms for self-triggered control systems [1], [8], [15].”
- A Small-Gain Approach to Robust Event-Triggered Control of Nonlinear Systems (2015, background): “When systems are subject to external disturbances, finite-gain Lp stability [14], [19] can be realized.”
- Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$-Gain and Improved and Decentralized Event-Triggering (2012, background): “Combining (10), (12), (14) and (15) yields an impulsive system of the form (9).”
- Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “The major issues NCSs face are: reduction of network traffic load due to sampling [125]–[127], network induced delays [128], packet dropout phenomenon [129], and quantization errors [130].”
- Networked control systems: a survey of trends and techniques (2020, background): “This scheme is also studied in [95] by presenting a switching model for the closed-loop system.”
- Event-triggered control for multi-agent systems (2009, result): “Similar results on deterministic event-triggered feedback control have appeared in [26],[25],[10],[16],[1].”
- Event-Triggering in Distributed Networked Control Systems (2011, background): “Event-triggering [16] has appeared under a number of names that include interrupt-based feedback [17], Lebesgue sampling [18], state-triggered feedback [19], and self-triggered feedback [20], [15], [21].”
- An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “is self-triggered sampling, where the next sampling time is predicted at control update instants based on the last triggered data and knowledge of plant dynamics [39], [110]–[114].”
- Adaptive event‐triggered control for nonlinear discrete‐time systems (2016, neutral): “A self-triggered scheme is given in [8] for continuoustime linear systems with disturbance, while guaranteeing the finite-gain L2 stability of the resulting self-triggered feedback control systems.”
- Cyber–Physical Systems: A Perspective at the Centennial (2012, background): “resources, and even be used to guarantee stability based on some knowledge of the plant [42], [43], [44].”
- Event-Separation Properties of Event-Triggered Control Systems (2014, background): “In addition, it is good to mention various variations on ETC, such as the ETC schemes proposed in [7], [8], [13], periodic event-triggered control (PETC) laws [10], [13]–[17] and self-triggered control (STC) systems [24]–[27].”
- Event-triggered communication and H∞H∞ control co-design for networked control systems (2013, neutral): “Example 2: Consider an inverted pendulum on a cart controlled over a network, the linearized plant model (2) with the parameters [18]:”
- Event-triggered control for discrete-time systems (2010, background): “In the case of selftriggered control [23], [1], only the last state measurement needs to be known for determining the next time instant where the state must be measured again so that the control law is computed and the actuators are updated.”