Global Stabilization of a Class of Nonminimum-Phase Nonlinear Systems by Sampled-Data Output Feedback

Abstract

In this technical note, global asymptotic stabilization by sampled-data output feedback is investigated for a class of nonminimum-phase nonlinear systems. Under a global Lipschitz condition imposing on both zero dynamics (i.e., the so-called driven system) and the driving system, together with a lower-triangular form, we prove that the nonminimum-phase system is globally stabilizable by a sampled-data dynamic output compensator that is composed of a nonlinear observer and a linear controller, both in discrete-time. The sampled-data feature makes the proposed output feedback controller easier for digital implementation.