Sampled-data Output Regulation of Unstable Well-posed Infinite-dimensional Systems with Constant Reference and Disturbance Signals
Masashi Wakaiki, Hideki Sano
TL;DR
The paper tackles robust sampled-data output regulation for unstable well-posed infinite-dimensional systems with constant reference and disturbance inputs. It develops a two-tier design that first stabilizes a finite-dimensional unstable part and then embeds an internal model via a boundary interior Nevanlinna-Pick interpolation problem, leveraging coprime factorizations to synthesize finite-dimensional digital controllers. A key contribution is the explicit sufficient condition set ensuring the existence of such controllers, including a discretization-based reduction that preserves essential spectral and nonresonance properties, and an application to delay systems. Practically, the framework enables reliable regulation of PDE-like and delay-embedded plants using low-order digital controllers, with rigorous robustness to plant and exosystem perturbations.
Abstract
We study the sample-data control problem of output tracking and disturbance rejection for unstable well-posed linear infinite-dimensional systems with constant reference and disturbance signals. We obtain a sufficient condition for the existence of finite-dimensional sampled-data controllers that are solutions of this control problem. To this end, we study the problem of output tracking and disturbance rejection for infinite-dimensional discrete-time systems and propose a design method of finite-dimensional controllers by using a solution of the Nevanlinna-Pick interpolation problem with both interior and boundary conditions. We apply our results to systems with state and output delays.
