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Titlebook: Directions in Mathematical Systems Theory and Optimization; Anders Rantzer,Christopher I. Byrnes Conference proceedings 2003 Springer-Verl

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Conference proceedings 2003riod, four themes can perhaps characterize his interests: Modeling, estimation and ?ltering, feedback and robust control. His contributions to modeling include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial realization problem for both deterministic
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0170-8643 ms, signals and control. Throughout this period, four themes can perhaps characterize his interests: Modeling, estimation and ?ltering, feedback and robust control. His contributions to modeling include seminal work on the role of splitting subspaces in stochastic realization theory, on the partial
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Conference proceedings 2003her research on the phase portrait of this dynamical system gave a better understanding of when the Kalman ?lter will converge, answering an open question raised by Kalman. While still a student he established the separation principle for stochastic function differential equations, including some fu
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Systems with Lebesgue Sampling,iemann sampling, because the time varying nature of the closed loop system can not be avoided. In this paper we investigate some systems with Lebesgue sampling. Analysis of simple systems shows that Lebesgue sampling gives better performance than Riemann sampling.
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Geometry of Oblique Splitting Subspaces, Minimality and Hankel Operators,or undertaking a first-principle analysis of the stochastic realization problem with inputs, as presented in this paper. It turns out that stochastic realization with inputs is by no means a trivial extension of the well-established theory for stationary processes (time-series) and there are fundame
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Directions in Mathematical Systems Theory and Optimization
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Norbert Gestring,Renate Ruhne,Jan Wehrheimiemann sampling, because the time varying nature of the closed loop system can not be avoided. In this paper we investigate some systems with Lebesgue sampling. Analysis of simple systems shows that Lebesgue sampling gives better performance than Riemann sampling.
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Lokale Kontrollkulturen und Gentrificationor undertaking a first-principle analysis of the stochastic realization problem with inputs, as presented in this paper. It turns out that stochastic realization with inputs is by no means a trivial extension of the well-established theory for stationary processes (time-series) and there are fundame
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