The problem of optimal robust sensor scheduling

Author

Savkin, Andrey V. ; Evans, Robin J. ; Skafidas, Efstratios

Author_Institution

Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Kensington, NSW, Australia

Volume

4

fYear

2000

fDate

2000

Firstpage

3791

Abstract

This paper considers the sensor scheduling problem which consists of estimating the state of an uncertain process based on measurements obtained by switching a given set of noisy sensors. The noise and uncertainty models considered in this paper are assumed to be unknown deterministic functions which satisfy an energy type constraint known as an integral quadratic constraint. The problem of optimal robust sensor scheduling is formulated and solution to this problem is given in terms of the existence of suitable solutions to a Riccati differential equation of the game type and a dynamic programming equation. Furthermore, a real time implementable method for sensor scheduling is also presented

Keywords

Riccati equations; differential equations; dynamic programming; game theory; noise; stability; state estimation; Riccati differential equation; dynamic programming equation; energy type constraint; game differential equation; integral quadratic constraint; noisy sensors; optimal robust sensor scheduling; real time implementable method; state estimation; uncertain process; uncertainty models; unknown deterministic functions; Covariance matrix; Differential equations; Dynamic scheduling; Processor scheduling; Riccati equations; Robustness; Sensor systems; Switches; Time measurement; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2000. Proceedings of the 39th IEEE Conference on

Conference_Location

Sydney, NSW

ISSN

0191-2216

Print_ISBN

0-7803-6638-7

Type

conf

DOI

10.1109/CDC.2000.912300

Filename

912300