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Decentralized reliable control of interconnected systems with time-varying delays

  • M. S. Mahmoud

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

In this paper, we study the problem of designing decentralized reliable feedback control methods under a class of control failures for a class of linear interconnected continuous-time systems having internal subsystem time-delays and additional time-delay couplings. These failures are described by a model that takes into consideration possible outages or partial failures in every single actuator of each decentralized controller. The decentralized control design is performed through two steps. First, a decentralized stabilizing reliable feedback control set is derived at the subsystem level through the construction of appropriate Lyapunov-Krasovskii functional and, second, a feasible linear matrix inequalities procedure is then established for the effective construction of the control set under different feedback schemes. Two schemes are considered: the first is based on state measurement and the second utilizes static output feedback. The decentralized feedback gains in both schemes are determined by convex optimization over LMIs. We characterize decentralized linear matrix inequalities (LMIs)-based feasibility conditions such that every local closed-loop subsystem of the linear interconnected delay system is delay-dependent robustly asymptotically stable with a γ-level ℒ2-gain. The developed results are tested on a representative example.

Original languageEnglish
Pages (from-to)497-518
Number of pages22
JournalJournal of Optimization Theory and Applications
Volume143
Issue number3
DOIs
StatePublished - Nov 2009

Bibliographical note

Funding Information:
This research work was supported by KFUPM Research Project IN080404.

Keywords

  • Delay-dependent stability
  • Interconnected time-delay systems
  • LMIs
  • Reliable decentralized control

ASJC Scopus subject areas

  • Control and Optimization
  • Management Science and Operations Research
  • Applied Mathematics

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