Robust Analysis and Design of Control Systems Using Interval Arithmetic**A previous version of this paper was presented at the 13th IFAC World Congress, which was held in San Francisco, CA, during 30 June-5 July, 1996. The Published Proceedings of this IFAC Meeting may be ordered from: Elsevier Science Limited, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, U.K. This paper was recommended for publication in revised form by Associate Editor F. Callier under the direction of Editor R.F. Curtain.-Reference-Cited by-同舟云学术

Robust Analysis and Design of Control Systems Using Interval Arithmetic**A previous version of this paper was presented at the 13th IFAC World Congress, which was held in San Francisco, CA, during 30 June-5 July, 1996. The Published Proceedings of this IFAC Meeting may be ordered from: Elsevier Science Limited, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, U.K. This paper was recommended for publication in revised form by Associate Editor F. Callier under the direction of Editor R.F. Curtain.

Published:1997-07 Issue:7 Volume:33 Page:1363-1372
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

MALAN S.,MILANESE M.,TARAGNA M.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference38 articles.

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2. Balakrishnan, V., Boyd, S. and Balemi, S. (1991) Computing the minimum stability degree of parameter—dependent linear systems. In Control of Uncertain Dynamic Systems, ed. S. Bhattacharyya and L. Keel, pp. 359–378. CRC Press, Boca Raton, FL.

3. Barmish, B. (1994) New Tools for Robustness of Linear Systems. Macmillan, New York.

4. Robust stability of a class of polynomials with coefficients depending multilinearly on perturbations;Barmish;IEEE Trans. Autom. Control,1990

5. Optimal centered forms;Baumann;BIT,1988

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