Decentralized Reliable Control of Interconnected Time-Delay Systems Against Sensor Failures

Ali Y. Al-Rayyah, Magdi S. Mahmoud

Research output: Contribution to journalArticlepeer-review

8 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 linear matrix inequalities. We characterize decentralized linear matrix inequality-based feasibility conditions such that every local closed-loop subsystem of the linear interconnected delay system is delay-dependent robustly asymptotically stable with an γ-level L2-gain. The developed results are tested on a representative example.

Original languageEnglish
Pages (from-to)318-336
Number of pages19
JournalJournal of Optimization Theory and Applications
Volume147
Issue number2
DOIs
StatePublished - 2010

Bibliographical note

Funding Information:
The work of M.S. Mahmoud is supported by KFUPM research project No. FT090015.

Keywords

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

ASJC Scopus subject areas

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

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