P.M.J. Van den Hof

TL;DR: It is shown how to exploit these generalized basis functions to increase the speed of convergence in a series expansion, i.e., to obtain a good approximation by retaining only a finite number of expansion coefficients.

TL;DR: In this article, the authors consider the problem of finding the (constrained) input signal that minimizes a measure of a control-oriented model uncertainty set, where the control objective is disturbance rejection only.

TL;DR: In this paper, a least squares identification method is studied that estimates a finite number of expansion coefficients in the series expansion of a transfer function, where the expansion is in terms of generalized basis functions.

TL;DR: In this article, it was shown that there exist orthogonal functions that, in a natural way, are generated by stable linear dynamical systems, and that compose an orthonormal basis for the signal space l/sub 2/sup n/.

TL;DR: In this article, a framework for an iterative procedure of identification and robust control design is introduced wherein the robust performance is monitored during the subsequent steps of the iterative scheme, by monitoring the performance via a model-based approach.