New Results on Sampled-Data Feedback Stabilization for Autonomous Nonlinear Systems
J.Tsinias

TL;DR
This paper establishes new sufficient conditions for the global asymptotic stabilization of nonlinear autonomous systems using sampled-data feedback, extending classical theorems and addressing interconnected systems.
Contribution
It extends the Artstein-Sontag theorem to sampled-data feedback and provides conditions for stabilizing interconnected nonlinear systems.
Findings
Extended Artstein-Sontag theorem for sampled-data feedback
Derived Lie algebraic conditions for interconnected systems
Established global asymptotic stabilization criteria
Abstract
Sufficient conditions are established for sampled-data feedback global asymptotic stabilization for nonlinear autonomous systems. One of our main results is an extension of the well known Artstein-Sontag theorem on feedback stabilization concerning affine in the control systems. A second aim of the present work is to provide sufficient conditions for sampled-data feedback asymptotic stabilization for two interconnected nonlinear systems. Lie algebraic sufficient conditions are derived for the case of affine in the control interconnected systems without drift terms.
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Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Stability and Control of Uncertain Systems · Stability and Controllability of Differential Equations
