. We show that in contrast to the infinite horizon case, the finite horizon optimal mixed H 2 =H 1 estimation problem has a bounded order solution. Moreover, when the underlying systems have state-space models of order n, the optimal finite horizon mixed H 2 =H 1 filter has state-space model of order no greater than 2n + 1. Similar results hold for mixed H 2 =H 1 control, though for brevity we shall only consider estimation problem here. Keywords. H 2 =H 1 theory, Convex optimization, State-space theory, Robust estimation. 1. INTRODUCTION In this paper we study the finite horizon mixed H 2 =H 1 estimation problem. In particular, we investigate the structure of the optimal mixed filter. The widely used H 2 theory domin...
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We study the problem of mixed least-meansquares /H 1 -optimal (or mixed H 2 =H 1 -optimal) est...
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The problem of full-order mixed L-2-L-infinity/H-infinity performance rltering design for uncertain ...
This paper investigates robust filtering design problems in H-2 and H-infinity spaces for continuous...
The problem of full-order robust filtering design for discrete-time uncertain linear systems is addr...
We introduce and motivate the problem of mixed H^2/H∞ estimation by studying the stochastic and dete...
This paper investigates robust filtering design problems in H2 and H∞ spaces for continuous-time sys...
The problem of applying H∞-filters on stationary, continuous-time, linear systems with stochastic un...
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