首页|Decentralized finite-time connective tracking control with prescrib e d settling time for p -normal form stochastic large-scale systems

Decentralized finite-time connective tracking control with prescrib e d settling time for p -normal form stochastic large-scale systems

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This paper aims to solve the decentralized finite-time connective tracking control problem for p-normal form stochastic large-scale systems with output interconnections existing in both the drift and diffusion terms. By means of the stochastic system theory and a prescribed finite-time performance function (PFTPF), a novel design scheme is presented for the decentralized finite-time connective tracking controllers with an arbitrarily prescribed settling time. The connective stability problem of stochastic large-scale systems is investigated for the first time. In addition, a new solution for the decentralized tracking control problem of stochastic large-scale systems is presented via a novel mathematical treatment algorithm. The proposed controllers can ensure that the tracking errors converge to a predetermined region within an arbitrarily prescribed settling time and the controlled system is connectively bounded stable in probability. Three simulation examples are presented to exhibit the performance and the superiority of the new control strategy. (c) 2021 Elsevier Inc. All rights reserved.

Decentralized controlFinite-time controlPrescribed settling timeConnectively stablep-normal form stochastic large-scale systemsOUTPUT-FEEDBACK STABILIZATIONADAPTIVE NEURAL-CONTROLNONLINEAR-SYSTEMSNETWORKSPERFORMANCESTABILITY

Yang, Yi、Li, Xiaohua、Liu, Xiaoping

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Univ Sci & Technol Liaoning

Lakehead Univ

2022

Applied mathematics and computation

Applied mathematics and computation

EISCI
ISSN:0096-3003
年,卷(期):2022.412
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