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Journal ArticleDOI

Analysis of event-driven controllers for linear systems

TLDR
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.
Abstract
Most research in control engineering considers periodic or time-triggered control systems with equidistant sample intervals. However, practical cases abound in which it is of interest to consider event-driven control in which the sampling is event-triggered. Although there are various benefits of using event-driven control like reducing resource utilization (e.g., processor and communication load), their application in practice is hampered by the lack of a system theory for event-driven control systems. To provide a first step in developing an event-driven system theory, this paper considers an event-driven control scheme for perturbed linear systems. The event-driven control scheme triggers the control update only when the (tracking or stabilization) error is large. In this manner, the average processor and/or communication load can be reduced significantly. The analysis in this paper is aimed at the control performance in terms of practical stability (ultimate boundedness). Several examples illustrate t...

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Citations
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Journal ArticleDOI

Distributed Event-Triggered Control for Multi-Agent Systems

TL;DR: The controller updates considered here are event-driven, depending on the ratio of a certain measurement error with respect to the norm of a function of the state, and are applied to a first order agreement problem.
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

Event-based broadcasting for multi-agent average consensus

TL;DR: A novel control strategy for multi-agent coordination with event-based broadcasting is presented, in which each agent decides itself when to transmit its current state to its neighbors and the local control laws are based on these sampled state measurements.
Journal ArticleDOI

Periodic event-triggered control for nonlinear systems

TL;DR: The PETC strategies developed in this paper apply to both static state-feedback and dynamical output-based controllers, as well as to both centralized and decentralized (periodic) event-triggering conditions.
Journal ArticleDOI

Brief paper: A state-feedback approach to event-based control

TL;DR: An upper bound of the difference between both loops is derived, which shows that the approximation of the continuous state-feedback loop by the event-based control loop can be made arbitrarily tight by appropriately choosing the threshold parameter of the event generator.
References
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Book

Linear Matrix Inequalities in System and Control Theory

Edwin E. Yaz
TL;DR: In this paper, the authors present a brief history of LMIs in control theory and discuss some of the standard problems involved in LMIs, such as linear matrix inequalities, linear differential inequalities, and matrix problems with analytic solutions.
Book

Introduction to Discrete Event Systems

TL;DR: This edition includes recent research results pertaining to the diagnosis of discrete event systems, decentralized supervisory control, and interval-based timed automata and hybrid automata models.
Book

Feedback Control of Dynamic Systems

TL;DR: This introductory book provides an in-depth, comprehensive treatment of a collection of classical and state-space approaches to control system design and ties the methods together so that a designer is able to pick the method that best fits the problem at hand.
Book

Digital control of dynamic systems

TL;DR: This well-respected, market-leading text discusses the use of digital computers in the real-time control of dynamic systems and thoroughly integrates MATLAB statements and problems to offer readers a complete design picture.
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