Robust internal model design by nonlinear regression via low-power high-gain observers
Abstract
In this paper we introduce the low-power high-gain observer, developed in [1], to solve problems of output regulation for nonlinear systems. We show how the new tool makes it possible the implementation of high dimensional controllers, that tipically arise when the ideal steady-state control that must be generated to secure zero regulation error is affected by uncertainties.
Domains
Systems and Control [cs.SY]
Origin : Files produced by the author(s)
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