Extended linear quadratic Gaussian control under randomly varying distributed delays

Asok Ray, Luen Woei Liou, Nan-Chyuan Tsai

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

Abstract

A state estimation and state feedback control law has been formulated in a stochastic setting, based on the principles of minimum variance filtering and dynamic programming, for application to processes that are subjected to randomly varying distributed delays. The proposed estimation and control law for delay compensation is formulated on the concept of the Linear Quadratic Gaussian (LQG), hereafter called Extended Linear Quadratic Gaussian (ELQG). Although the certainty equivalence property of LQG does not hold for ELQG in general, the combined state estimation and state feedback approach of ELQG offers a suboptimal solution to control of randomly delayed processes. Specifically, ELQG is applicable to analysis and synthesis of Integrated Communication and Control Systems (ICCS) for vehicle management of future generation aircraft and autonomous vehicles where a computer network is employed for distributed processing and on-line information exchange between diverse control and decision-making functions. Results of simulation experiments are presented to demonstrate the efficacy of the ELQG algorithm for flight control of an advanced aircraft.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
PublisherPubl by American Automatic Control Council
Pages1084-1088
Number of pages5
ISBN (Print)0780302109
Publication statusPublished - 1992 Dec 1
EventProceedings of the 1992 American Control Conference - Chicago, IL, USA
Duration: 1992 Jun 241992 Jun 26

Publication series

NameProceedings of the American Control Conference
Volume2
ISSN (Print)0743-1619

Other

OtherProceedings of the 1992 American Control Conference
CityChicago, IL, USA
Period92-06-2492-06-26

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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