OBSERVER DESIGN FOR LARGE-SCALE LINEAR SYSTEMS.

Ami Arbel; Edison Tse

doi:10.1109/cdc.1978.268012

OBSERVER DESIGN FOR LARGE-SCALE LINEAR SYSTEMS.

Ami Arbel^*, Edison Tse

^*Corresponding author for this work

Department of Industrial Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

An approach is presented which reduces the computational requirements in observer design. Specifically, a procedure is developed which reduces the observer design to an algebraic problem of solving an (n-2m) multiplied by (n-m) matrix equation, where n is the dimension of the state and m is the dimension of the output. It is also shown that for a special class of problems, which appears very often in time-series modeling, the computational requirements can be much further reduced. The procedure developed in this paper is applicable to both discrete-time and continuous-time linear dynamic systems. The resulting observer will have m eigenvalues clustered together at a selected point and the remaining n-2m eigenvalues are arbitrarily placed.

Original language	English
Pages (from-to)	675-680
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
DOIs	https://doi.org/10.1109/cdc.1978.268012
State	Published - 1978
Event	Proc IEEE Conf Decis Control Incl Symp Adapt Processes 17th - San Diego, CA, USA Duration: 10 Jan 1979 → 12 Jan 1979

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title = "OBSERVER DESIGN FOR LARGE-SCALE LINEAR SYSTEMS.",

abstract = "An approach is presented which reduces the computational requirements in observer design. Specifically, a procedure is developed which reduces the observer design to an algebraic problem of solving an (n-2m) multiplied by (n-m) matrix equation, where n is the dimension of the state and m is the dimension of the output. It is also shown that for a special class of problems, which appears very often in time-series modeling, the computational requirements can be much further reduced. The procedure developed in this paper is applicable to both discrete-time and continuous-time linear dynamic systems. The resulting observer will have m eigenvalues clustered together at a selected point and the remaining n-2m eigenvalues are arbitrarily placed.",

author = "Ami Arbel and Edison Tse",

year = "1978",

doi = "10.1109/cdc.1978.268012",

language = "אנגלית",

pages = "675--680",

journal = "Proceedings of the IEEE Conference on Decision and Control",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "null ; Conference date: 10-01-1979 Through 12-01-1979",

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T1 - OBSERVER DESIGN FOR LARGE-SCALE LINEAR SYSTEMS.

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AU - Tse, Edison

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N2 - An approach is presented which reduces the computational requirements in observer design. Specifically, a procedure is developed which reduces the observer design to an algebraic problem of solving an (n-2m) multiplied by (n-m) matrix equation, where n is the dimension of the state and m is the dimension of the output. It is also shown that for a special class of problems, which appears very often in time-series modeling, the computational requirements can be much further reduced. The procedure developed in this paper is applicable to both discrete-time and continuous-time linear dynamic systems. The resulting observer will have m eigenvalues clustered together at a selected point and the remaining n-2m eigenvalues are arbitrarily placed.

AB - An approach is presented which reduces the computational requirements in observer design. Specifically, a procedure is developed which reduces the observer design to an algebraic problem of solving an (n-2m) multiplied by (n-m) matrix equation, where n is the dimension of the state and m is the dimension of the output. It is also shown that for a special class of problems, which appears very often in time-series modeling, the computational requirements can be much further reduced. The procedure developed in this paper is applicable to both discrete-time and continuous-time linear dynamic systems. The resulting observer will have m eigenvalues clustered together at a selected point and the remaining n-2m eigenvalues are arbitrarily placed.

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U2 - 10.1109/cdc.1978.268012

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M3 - מאמר מכנס

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JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

SN - 0191-2216

Y2 - 10 January 1979 through 12 January 1979

ER -

OBSERVER DESIGN FOR LARGE-SCALE LINEAR SYSTEMS.

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