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Journal ArticleDOI

Stabilization of Uncertain Discrete-Time Linear System With Limited Communication

TLDR
It is shown that the robust control law with aperiodic information ensures input-to-state stability of the original system in the presence of mismatched uncertainty, and derived the event-triggering condition for a discrete-time uncertain system.
Abstract
This technical note proposes a procedure to control an uncertain discrete-time networked system using an aperiodic stabilizing input information. The system is primarily affected by the time-varying, norm bounded, mismatched parametric uncertainty. Aperiodic exchange of information is done due to bandwidth constraint of the communication network. An event-triggered based robust control strategy is adopted to reduce the effects of system uncertainty in such bandwidth constrained networks. In event-triggered control, the control input is computed and actuated at the system end only when a pre-specified event condition is violated. The robust control input is derived to stabilize the uncertain system by solving an optimal control problem based on a virtual nominal dynamics and a modified cost-functional. It is shown that the robust control law with aperiodic information ensures input-to-state stability (ISS) of the original system in the presence of mismatched uncertainty. Deriving the event-triggering condition for a discrete-time uncertain system and ensuring the stability of such system analytically are the key contributions of this technical note. A numerical example is given to prove the efficacy of the proposed event-based control algorithm over the conventional periodic one.

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Posted Content

Robust Stabilization of Resource Limited Networked Control Systems Under Denial-of-Service Attack

TL;DR: In this article, an event-triggered control and communication strategy is adopted to reduce bandwidth consumption for an uncertain discrete-time NCS subject to limited availability of the shared communication channel.
Journal ArticleDOI

Design and Analysis of Event-Triggered Neuro-Adaptive Controller (ETNAC) for Uncertain Systems

TL;DR: Six new event-triggered neuro-adaptive control (ETNAC) schemes are presented for uncertain linear systems and an observer called the modified state observer (MSO) is designed, which provides the control system designer with flexibility to choose between the one-way or two-way data exchange and also between the dynamic or static triggering conditions.
Proceedings ArticleDOI

Passivity based distributed event-triggered load frequency control

TL;DR: This paper presents a method of reducing data communication burden in multi area load frequency control by adopting an aperiodic event-triggered based control approach to reduce the communication bandwidth requirements and governor operations.
Proceedings ArticleDOI

Robust Event-Triggered Consensus of Uncertain Network Systems

TL;DR: In this paper, the robust consensus problem of the event-triggered network system subject to additive dynamic uncertainties is studied and the sampling errors resulted by event triggering are essentially images of linear finite-gain ℒ 2 stable operators acting on the consensus errors of the sampled outputs.
Journal ArticleDOI

Event-triggered robust adaptive control for discrete time uncertain systems with unmodelled dynamics and disturbances

TL;DR: In this study, the authors consider the design of event-triggered robust adaptive control for a class of discrete-time uncertain systems which involve such modelling errors and also are allowed to be non-minimum phase.
References
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Book ChapterDOI

I and J

Book

Matrix Analysis

TL;DR: In this article, the authors present results of both classic and recent matrix analyses using canonical forms as a unifying theme, and demonstrate their importance in a variety of applications, such as linear algebra and matrix theory.
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.
Journal ArticleDOI

Stability of networked control systems

TL;DR: This work model NCSs with packet dropout and multiple-packet transmission as asynchronous dynamical systems and analyze their stability using stability regions and a hybrid systems technique, and discusses methods to compensate network-induced delay.
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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