thesis

Applications of Input-to-State Stability theory to chaos and non-linear adaptive control.

Abstract

The aim of this work is to study the stability of a particular class of nonlinear control systems, that is Adaptive Control with Communications Constraints. As a subclass of such a system, we study stability properties of chaos control. The technical instrument used is the Input-to-State Stability theory. As a font of inspiration to find original solutions to the problem of adaptive control and face new interesting problems we collect known results about vertebrate movement learning and propose an inspired control scheme

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