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Fuzzy indirect adaptive control and robustness analysis for unknown multivariable nonlinear systems

Authors: null Tong Shaocheng; null Li Qingguo; null Chai Tianyou;

Fuzzy indirect adaptive control and robustness analysis for unknown multivariable nonlinear systems

Abstract

In this paper, we deal with the problem of controlling an unknown nonlinear dynamical system that is modeled by fuzzy logic systems. In the ideal case of complete model matching, convergence of the state of zero plus boundedness of all signals in the closed loop system is ensured. Moreover, the robustness of the controller designed in the ideal case is given in the framework of singular perturbation theory.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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