This paper focuses on the design of robust internal model-based regulators for a class of nonlinear systems and exosystems such that the desired steady ...
Robust internal model design by nonlinear regression via low-power ...
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In this paper we introduce the low-power high-gain observer, developed in [1], to solve problems of output regulation for nonlinear systems.
This paper introduces the low-power high-gain observer, developed in [1], and shows how the new tool makes it possible the implementation of high ...
This pre-processing design paradigm leads to a neat conceptual separation of the roles between the internal model and the stabiliser, with the former to which ...
In this paper we introduce the low-power high-gain observer, developed in [1], to solve problems of output regulation for nonlinear systems.
Such a design refers to adaptive internal model approach or adaptive output regulation in literature. Considerable interest in adaptive output regulation has ex ...
Missing: Regression. | Show results with:Regression.
Abstract—In this paper we introduce the low-power high- gain observer, developed in [1], to solve problems of output regulation for nonlinear systems.
The new approach combines the IMC structure and the traditional structure of a control problem and this demonstrates an excellent performance and behavior ...
Missing: Regression. | Show results with:Regression.
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Rather, the proposed approach relies upon regression-like arguments used to derive a nonlinearinternalmodel able to offset the presence of an unknown number ...
Mar 21, 2023 · The problem of robust output regulation consists in designing a dynamical regulator able to reject disturbances while tracking desired.