Robust stabilization of multiport networks

TL;DR

This paper develops a novel robust stabilization method for multiport networks using an extension of coprime factorization and $H_{ abla}$ optimization, addressing parameter variations and environmental changes.

Contribution

It introduces a new formulation of robust stabilization for multiport networks based on feedback control theory and extends coprime factorization to this context.

Findings

Formulates robust compensation as an $H_{ abla}$ optimization problem.

Develops a new stabilization theory for multiport network interconnection.

Uses Nehari optimization for solution computation.

Abstract

This paper formulates and solves the problem of robust compensation of multiport active network. This is an important engineering problem as networks designed differ in parameter values due to tolerance during manufacture from their actual realizations in chips and hardware. Parameters also undergo changes due to environmental factors. Hence, practical use of networks requires compensation which is only possible by connecting compensating network at the ports. The resulting interconnection is then required to be stable over a range of parameter values. This is called robust compensation. This paper formulates such a problem using an extension of the coprime factorization theory well known in feedback control theory to the situation of multiport network interconnection developed in \cite{msm1} and formulates the robust stabilization problem as an $H_{\infty}$ optimization problem. The port interconnection of networks does not confirm with computation of the function of the interconnected network analogous to that of the feedback interconnection using signal flow graph. Hence the well known stabilization and stability theory of feedback systems cannot be utilized for such a problem. A new formulation of stabilization theory of network interconnection was formulated and developed by the authors in \cite{msm1}. The variations of parameters of the network are used to define a worst case neighborhood of the network in terms of its coprime fractions at the nominal values of parameters. The solution of the optimization problem is then carried out by the standard procedure of converting such a problem to the Nehari optimization problem \cite{fran}. This methodology of solving the robust compensation of multiport networks using feedback control theory is believed to be novel.