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

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Norbert Gestring,Renate Ruhne,Jan Wehrheiminfinite dimensional linear systems. The objective is to show that all properties for the finite dimensional case remain valid in the framework of Linear Random Functionals (this is thanks to linearity of course).

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,Die Geschichte von Städtebau und Verkehr, objective is to track a prescribed trajectory while suppressing the disturbance produced by a harmonic exogenous system. This is a slight modification of the standard problem of output regulation, in which the reference trajectory itself is also assumed to be generated by an exosystem. As part of a

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Lokale Kontrollkulturen und Gentrificationance for multivariable state-space model-building. The basic steps of subspace algorithms are geometric operations on certain vector spaces generated by observed input-output time series which can be interpreted as “sample versions” of the abstract geometric operations of stochastic realization theo

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https://doi.org/10.1007/978-3-658-41824-3variances often do not. The renewed attention in using state/output statistics for estimating the power spectrum of the input [., .] raises the issue of approximating sample statistics so as to abide by the required linear constraints. In the present paper we motivate and formulate relevant question

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Fakultät für Architektur und Raumplanungng on the stochastic gradient. The optimal weight-matrix will be defined using a risk-sensitive identification criterion. First the cost function will be expressed using LEQG-theory. Then, applying stochastic realization theory and the bounded real lemma we derive alternative expressions for the cos

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Sabine Hofmeister,Babette Scurrell is not too large then the error goes to zero exponentially as time goes to infinity. To demonstrate this, we require that the system be . . and uniformly observable with bounded second partial derivatives.

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https://doi.org/10.1007/978-3-658-10400-9separately. The former is designed to meet feedback properties such as sensitivity, robust stability and disturbance rejection, while the latter is designed to improve tracking performances. However, it is not completely clear whether the designs of feedback controller and feedforward controller can

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Sabine Hofmeister,Babette Scurrelltem with unknown but bounded disturbances in the system inputs and measurement channel. The control parameters and unknown items are subjected to hard (instantaneous) bounds. The paper also emphasizes the feasibility of the techniques of duality theory of nonlinear analysis for calculating the solut