Event-triggered control for linear time-varying systems using a positive systems approach
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TLDR
In this article , a robust event-triggered output feedback control of uncertain linear time-varying systems is proposed, which uses vectors of absolute values instead of the usual Euclidean 2-norms.About:
This article is published in Systems & Control Letters.The article was published on 2022-03-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Computer science & Control theory (sociology).read more
Citations
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Journal ArticleDOI
On Asymptotic Stability of Discrete-Time Hybrid Systems
TL;DR: In this paper , the authors considered the asymptotic stability problem of a novel class of discrete-time hybrid systems, which consists of continuous-time continuous-valued and Boolean dynamics.
Journal ArticleDOI
On Asymptotic Stability of Discrete-Time Hybrid Systems
Qiyao Wang,Jitao Sun +1 more
TL;DR: In this article , the authors considered the asymptotic stability problem of a novel class of discrete-time hybrid systems and proposed a necessary and sufficient condition for testing the stability of such systems.
Journal ArticleDOI
Conditions of stability and guaranteed convergence rate for linear time-varying discrete-time delay systems
TL;DR: In this paper , the stability conditions of linear time-varying discrete-time delay systems with constant and constant matrices and time-changing delays are investigated. But the authors focus on the special case of positive delay systems and provide conditions of global exponential stability, both delay-dependent and delay-independent.
Proceedings ArticleDOI
Event-triggered Finite-Time Control Design for Positive Systems Based on Linear Programming Approach
TL;DR: In this paper , a finite-time control design for a class of positive systems based on event-triggered mechanisms via a linear programming (LP) approach was proposed, where a new event-triggering condition in the form of vector 1 norm was proposed for positive systems.
Journal ArticleDOI
Event-Triggered Control Under Unknown Input and Unknown Measurement Delays Using Interval Observers
TL;DR: In this article , a new input-to-state stabilizing event-triggered feedback design for linear systems with unknown input delays, unknown measurement delays, and unknown additive disturbances is proposed.
References
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Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
TL;DR: This note investigates a simple event-triggered scheduler based on the paradigm that a real-time scheduler could be regarded as a feedback controller that decides which task is executed at any given instant and shows how it leads to guaranteed performance thus relaxing the more traditional periodic execution requirements.
Proceedings ArticleDOI
An introduction to event-triggered and self-triggered control
TL;DR: An introduction to event- and self-triggered control systems where sensing and actuation is performed when needed and how these control strategies can be implemented using existing wireless communication technology is shown.
Journal ArticleDOI
Analysis of event-driven controllers for linear systems
TL;DR: This paper considers an event-driven control scheme for perturbed linear systems that triggers the control update only when the tracking or stabilization error is large, so that the average processor and/or communication load can be reduced significantly.
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Self-Triggered Feedback Control Systems With Finite-Gain ${\cal L}_{2}$ Stability
Xiaofeng Wang,Michael D. Lemmon +1 more
TL;DR: Empirical simulations used to demonstrate that self-triggered control systems can be remarkably robust to task delay are used to derive bounds on a task's sampling period and deadline to quantify how robust the system's performance will be to variations in these parameters.
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Interval observers for uncertain biological systems
TL;DR: In this paper, the authors present a technique for the dynamic estimation of bounds on unmeasured variables (or parameters) of an uncertain dynamical system, which relies on interval observers: from (possibly time varying) intervals on the uncertainty and measurements, they compute guaranteed intervals for the variables.