Stabilizing Controller Design for Distributed Sensor Networks with Time-Varying Delays

V. R. Herath, Kamal Premaratne, M. Dogruel, P. H. Bauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper a novel method to determine stochastic mean-square (m-s) stability of sensor-supervisory node loops of a distributed sensor network (DSN) is presented. It enables one to explicitly account for the transition characteristics of time-varying delays that are encountered in communication networks via Markov process models. This results in less conservative controller parameters. For stationary delay processes, it is shown that the underlying dynamics can be described by a time-invariant model thus providing a significant computational advantage. Non-stationary Markov delay processes can be studied via methods available for deterministic time-varying discrete-time systems. The proposed method allows for variable 'granularity' in the controller design thus providing a seamless transition between accuracy and computational effort.

Original languageEnglish
Title of host publicationProceedings of IEEE Sensors
Pages1473-1478
Number of pages6
Volume1
Edition2
StatePublished - Dec 1 2002
EventFirst IEEE International Conference on Sensors - IEEE Sensors 2002 - Orlando, FL, United States
Duration: Jun 12 2002Jun 14 2002

Other

OtherFirst IEEE International Conference on Sensors - IEEE Sensors 2002
CountryUnited States
CityOrlando, FL
Period6/12/026/14/02

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

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