Nonline H∞ filtering of sampled-data systems
Date
2000
Authors
Shi, P.
Nguang, S.
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Journal article
Citation
Automatica, 2000; 36(2):303-310
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Abstract
This paper considers the problem of ℋ<inf>∞</inf> filtering for nonlinear sampled-data systems. Sufficient conditions are obtained for the existence of filters that guarantee the ℒ<inf>2</inf> gain from an exogenous input to an estimation error is less than or equal to a prescribed value. These conditions are expressed in terms of both continuous and discrete Hamilton-Jacobi equations. © 1999 Elsevier Science Ltd. All rights reserved.