Robustness of Finite-Time Distributed Control Algorithm with Time Transformation | IEEE Conference Publication | IEEE Xplore

Robustness of Finite-Time Distributed Control Algorithm with Time Transformation


Abstract:

The focus of this paper is distributed control of multiagent systems in a-priori given, user-defined finite-time interval using a recently developed time transformation a...Show More

Abstract:

The focus of this paper is distributed control of multiagent systems in a-priori given, user-defined finite-time interval using a recently developed time transformation approach. In particular, we utilize a time transformation function to convert a user-defined finite-time interval to a stretched infinite-time interval such that a distributed control algorithm can be designed on this stretched interval and then it can be transformed back to the original finite-time interval in order to satisfy a given multiagent system objective. In addition, the robustness of the resulting finite-time distributed control algorithm against vanishing and non-vanishing system uncertainties is also discussed. In contrast to existing finite-time approaches, the presented algorithm can preserve apriori given, user-defined finite-time convergence regardless of the initial conditions of the multiagent system and without the need for a knowledge of the upper bounds of the considered system uncertainty classes.
Date of Conference: 10-12 July 2019
Date Added to IEEE Xplore: 29 August 2019
ISBN Information:

ISSN Information:

Conference Location: Philadelphia, PA, USA

I. Introduction

Distributed control algorithms for multiagent systems can be broadly classified as the algorithms that guarantee asymptotic convergence (see, for example, [1]–[6] and references therein) and the algorithms that guarantee finite-time convergence (see, for example, [7]–[15] and references therein). Depending on the application of interest, one class of these algorithms can be preferred versus the other. Building on our recent results [16]–[18], this paper studies finite-time distributed control algorithms motivated by the time-critical multiagent systems applications.

Contact IEEE to Subscribe

References

References is not available for this document.