Observer Design for Large-Scale Linear Systems

Ami Arbel, Edison Tse

Research output: Contribution to journalArticlepeer-review


This paper presents an approach 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)X(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 languageEnglish
Pages (from-to)469-476
Number of pages8
JournalIEEE Transactions on Automatic Control
Issue number3
StatePublished - Jun 1979
Externally publishedYes


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