Algoritmo Para Identificação Assintótica via Apls E Sem Conhecimento Prévio De Limitantes

Abstract

In this paper a linearly parameterized approximators based algorithm for identifying uncertain systems is proposed. The proposed algorithm ensures stability without previous knowledge of bounds for the “optimal” parameter, approximation error, and disturbances. This algorithm guarantees that the state error converges asymptotically to zero, even in the… (More)

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.

Slides referencing similar topics