Sampled-data output feedback control for a class of nonminimum-phase nonlinear systems

The problem of global asymptotic stabilization is studied by sampled-data output feedback for a class of nonminimum-phase nonlinear systems. Under a global Lipschitz condition imposing on both zero dynamics and the driving system, together with a lower-triangular structure, we prove that the nonminimum-phase system is globally stabilizable by a sampled-data, dynamic output compensator that consists of a nonlinear observer and a linear controller, both in discrete-time. This feature makes the proposed output feedback control scheme easier for digital implementation.