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Dynamic Triggering Mechanisms for Event-Triggered Control

TLDR
This class is characterized by the introduction of an internal dynamic variable, which motivates the proposed name of dynamic event triggering mechanism, and a lower bound on the inter-execution time as a function of the parameters is established.
Abstract
In this paper, we present a new class of event triggering mechanisms for event-triggered control systems. This class is characterized by the introduction of an internal dynamic variable, which motivates the proposed name of dynamic event triggering mechanism. The stability of the resulting closed loop system is proved and the influence of design parameters on the decay rate of the Lyapunov function is discussed. For linear systems, we establish a lower bound on the inter-execution time as a function of the parameters. The influence of these parameters on a quadratic integral performance index is also studied. Some simulation results are provided for illustration of the theoretical claims.

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Citations
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A Decentralized Learning Control Scheme for Constrained Nonlinear Interconnected Systems Based on Dynamic Event-Triggered Mechanism

TL;DR: In this article , a decentralized learning control method for a class of partially unknown nonlinear systems with asymmetric control input constraints and mismatched interconnections via a novel dynamic event-triggering condition is presented.

Event-Triggered Adaptive Control of Coupled Hyperbolic PDEs With Piecewise-Constant Inputs and Identification

TL;DR: In this article , an event-triggered boundary control scheme with a batch least-squares parameter identication for a 2 × 2 hyperbolic PDE-ODE system is presented.
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Dynamic event-triggered adaptive fuzzy control for stochastic nontriangular nonlinear systems with unknown backlash-like hysteresis

TL;DR: In this article , a finite-time adaptive control for stochastic nontriangular nonlinear systems with unknown backlash-like hysteresis is discussed, and a performance function is introduced to ensure that the tracking error of the system converges to the specified region in a finite time.
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Integral Event-Triggered Attack-Resilient Control of Aircraft-on-Ground Synergistic Turning System With Uncertain Tire Cornering Stiffness

TL;DR: In this article , an integral-based event-triggered attack-resilient control method for the aircraft-on-ground (AoG) synergistic turning system with uncertain tire cornering stiffness under stochastic deception attacks was proposed.
References
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Journal ArticleDOI

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

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

Output-Based Event-Triggered Control With Guaranteed ${\cal L}_{\infty}$ -Gain and Improved and Decentralized Event-Triggering

TL;DR: This paper proposes a decentralized event-triggering mechanism that will be able to guarantee stability and performance for event-triggered controllers with larger minimum inter-event times than the existing results in the literature.
Journal ArticleDOI

To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems

TL;DR: Self-triggered control as mentioned in this paper uses the current state of the plant to decide the next time instant in which the state should be measured, the control law computed, and the actuators updated.
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