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Journal ArticleDOI

An Overview and Deep Investigation on Sampled-Data-Based Event-Triggered Control and Filtering for Networked Systems

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TLDR
This paper provides an overview and makes a deep investigation on sampled-data-based event-triggered control and filtering for networked systems, finding that a sampled- Data-based Event-Triggered Scheme can ensure a positive minimum inter-event time and make it possible to jointly design suitable feedback controllers and event- triggered threshold parameters.
Abstract
This paper provides an overview and makes a deep investigation on sampled-data-based event-triggered control and filtering for networked systems. Compared with some existing event-triggered and self-triggered schemes, a sampled-data-based event-triggered scheme can ensure a positive minimum inter-event time and make it possible to jointly design suitable feedback controllers and event-triggered threshold parameters. Thus, more attention has been paid to the sampled-data-based event-triggered scheme. A deep investigation is first made on the sampled-data-based event-triggered scheme. Then, recent results on sampled-data-based event-triggered state feedback control, dynamic output feedback control, $H_\infty$ filtering for networked systems are surveyed and analyzed. An overview on sampled-data-based event-triggered consensus for distributed multiagent systems is given. Finally, some challenging issues are addressed to direct the future research.

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Citations
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Journal ArticleDOI

Threshold-Function-Dependent Quasi-Synchronization of Delayed Memristive Neural Networks via Hybrid Event-Triggered Control

TL;DR: A hybrid event-triggering mechanism with a novel threshold function is devised that can further extend the time span between two successively triggered events and therefore can reduce the amount of triggering times in comparison with some existing event- triggering mechanisms.
Journal ArticleDOI

Centralized security-guaranteed filtering in multirate-sensor fusion under deception attacks

TL;DR: The aim of this paper is to design a filter such that the filtering error dynamics achieves the prescribed level of the security under deception attacks, using the stochastic analysis techniques.
Journal ArticleDOI

Dynamic event-based mixed H∞ and dissipative asynchronous control for Markov jump singularly perturbed systems

TL;DR: The design framework of asynchronous controller and the dynamic event-triggered rule are given in a unified way and a modified DC motor model is offered to demonstrate the superiority of the proffered method.
Journal ArticleDOI

Output-based event-triggered schemes on leader-following consensus of a class of multi-agent systems with Lipschitz-type dynamics

TL;DR: In order to reduce communication frequency among followers, an output-based event-triggered control strategy is proposed for leader-following consensus and neural-network-based observers are designed to reconstruct those immeasurable information of follower agents.
Journal ArticleDOI

Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch

TL;DR: This article investigates the synchronization problem of multiple memristive neural networks (MMNNs) in the case of switching communication topologies and parameter mismatch, and introduces the signal function into the controller so that the theoretical error can be limited to an arbitrarily small range.
References
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Journal ArticleDOI

Consensus problems in networks of agents with switching topology and time-delays

TL;DR: A distinctive feature of this work is to address consensus problems for networks with directed information flow by establishing a direct connection between the algebraic connectivity of the network and the performance of a linear consensus protocol.
Journal ArticleDOI

Consensus and Cooperation in Networked Multi-Agent Systems

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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.
BookDOI

Distributed Consensus in Multi-vehicle Cooperative Control

Wei Ren, +1 more
TL;DR: In this article, the authors present a survey of the use of consensus algorithms in multi-vehicle cooperative control, including single-and double-integrator dynamical systems, rigid-body attitude dynamics, rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
Book

Optimal Sampled-Data Control Systems

TL;DR: This paper proposes a direct attack in the continuous-time domain, where sampled-data systems are time-varying.
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