A distributed and cooperative supervisory estimation of multi-agent nonlinear systems

S. M. Azizi; M. M. Tousi; K. Khorasani

A distributed and cooperative supervisory estimation of multi-agent nonlinear systems

S. M. Azizi, M. M. Tousi, K. Khorasani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work, we propose a framework for supervisory cooperative estimation of multi-agent nonlinear systems. We introduce a group of sub-observers, each estimating certain states conditioned on certain given input, output, and state information. The cooperation among the sub-observers is supervised by a discrete-event system (DES). The supervisor makes decisions on selecting and configuring a set of sub-observers, so that the overall integrated sub-observers are able to successfully estimate all the states of the system. In cases when certain changes in the uncertainties take place, the supervisor reconfigures the set of selected sub-observers so that the impact of these uncertainties on the estimation performance is minimized. Our proposed method is applied to a nonlinear industrial process, and the simulations results obtained validate our analytical work.

Original language	English (US)
Title of host publication	Proceedings of 2009 7th Asian Control Conference, ASCC 2009
Pages	384-389
Number of pages	6
State	Published - Dec 11 2009
Externally published	Yes
Event	2009 7th Asian Control Conference, ASCC 2009 - Hong Kong, China Duration: Aug 27 2009 → Aug 29 2009

Publication series

Name	Proceedings of 2009 7th Asian Control Conference, ASCC 2009

Conference

Conference	2009 7th Asian Control Conference, ASCC 2009
Country/Territory	China
City	Hong Kong
Period	8/27/09 → 8/29/09

All Science Journal Classification (ASJC) codes

Computational Theory and Mathematics
Computer Vision and Pattern Recognition
Control and Systems Engineering

Cite this

@inproceedings{24e4732e85ec49e6b5ea4d9b31977994,

title = "A distributed and cooperative supervisory estimation of multi-agent nonlinear systems",

abstract = "In this work, we propose a framework for supervisory cooperative estimation of multi-agent nonlinear systems. We introduce a group of sub-observers, each estimating certain states conditioned on certain given input, output, and state information. The cooperation among the sub-observers is supervised by a discrete-event system (DES). The supervisor makes decisions on selecting and configuring a set of sub-observers, so that the overall integrated sub-observers are able to successfully estimate all the states of the system. In cases when certain changes in the uncertainties take place, the supervisor reconfigures the set of selected sub-observers so that the impact of these uncertainties on the estimation performance is minimized. Our proposed method is applied to a nonlinear industrial process, and the simulations results obtained validate our analytical work.",

author = "Azizi, {S. M.} and Tousi, {M. M.} and K. Khorasani",

year = "2009",

month = dec,

day = "11",

language = "English (US)",

isbn = "9788995605691",

series = "Proceedings of 2009 7th Asian Control Conference, ASCC 2009",

pages = "384--389",

booktitle = "Proceedings of 2009 7th Asian Control Conference, ASCC 2009",

note = "2009 7th Asian Control Conference, ASCC 2009 ; Conference date: 27-08-2009 Through 29-08-2009",

}

TY - GEN

T1 - A distributed and cooperative supervisory estimation of multi-agent nonlinear systems

AU - Azizi, S. M.

AU - Tousi, M. M.

AU - Khorasani, K.

PY - 2009/12/11

Y1 - 2009/12/11

N2 - In this work, we propose a framework for supervisory cooperative estimation of multi-agent nonlinear systems. We introduce a group of sub-observers, each estimating certain states conditioned on certain given input, output, and state information. The cooperation among the sub-observers is supervised by a discrete-event system (DES). The supervisor makes decisions on selecting and configuring a set of sub-observers, so that the overall integrated sub-observers are able to successfully estimate all the states of the system. In cases when certain changes in the uncertainties take place, the supervisor reconfigures the set of selected sub-observers so that the impact of these uncertainties on the estimation performance is minimized. Our proposed method is applied to a nonlinear industrial process, and the simulations results obtained validate our analytical work.

AB - In this work, we propose a framework for supervisory cooperative estimation of multi-agent nonlinear systems. We introduce a group of sub-observers, each estimating certain states conditioned on certain given input, output, and state information. The cooperation among the sub-observers is supervised by a discrete-event system (DES). The supervisor makes decisions on selecting and configuring a set of sub-observers, so that the overall integrated sub-observers are able to successfully estimate all the states of the system. In cases when certain changes in the uncertainties take place, the supervisor reconfigures the set of selected sub-observers so that the impact of these uncertainties on the estimation performance is minimized. Our proposed method is applied to a nonlinear industrial process, and the simulations results obtained validate our analytical work.

UR - http://www.scopus.com/inward/record.url?scp=71449099603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71449099603&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:71449099603

SN - 9788995605691

T3 - Proceedings of 2009 7th Asian Control Conference, ASCC 2009

SP - 384

EP - 389

BT - Proceedings of 2009 7th Asian Control Conference, ASCC 2009

T2 - 2009 7th Asian Control Conference, ASCC 2009

Y2 - 27 August 2009 through 29 August 2009

ER -

A distributed and cooperative supervisory estimation of multi-agent nonlinear systems

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this