Title :
A generalized entropy criterion for Nevanlinna-Pick interpolation with degree constraint
Author :
Byrnes, Christopher I. ; Georgiou, Tryphon T. ; Lindquist, Anders
Author_Institution :
Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
fDate :
6/1/2001 12:00:00 AM
Abstract :
We present a generalized entropy criterion for solving the rational Nevanlinna-Pick problem for n+1 interpolating conditions and the degree of interpolants bounded by n. The primal problem of maximizing this entropy gain has a very well-behaved dual problem. This dual is a convex optimization problem in a finite-dimensional space and gives rise to an algorithm for finding all interpolants which are positive real and rational of degree at most n. The criterion requires a selection of a monic Schur polynomial of degree n. It follows that this class of monic polynomials completely parameterizes all such rational interpolants, and it therefore provides a set of design parameters for specifying such interpolants. The algorithm is implemented in a state-space form and applied to several illustrative problems in systems and control, namely sensitivity minimization, maximal power transfer and spectral estimation
Keywords :
duality (mathematics); entropy; interpolation; optimisation; polynomials; robust control; sensitivity analysis; state-space methods; Nevanlinna-Pick interpolation; Schur polynomial; convex optimization; duality; entropy criterion; monic polynomials; power transfer; robust control; sensitivity analysis; spectral estimation; state-space form; Control systems; Entropy; Interpolation; Lagrangian functions; Minimization methods; Polynomials; Power transmission; Robust control; State estimation; Stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on