Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems using DSC technique
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Title
Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems using DSC technique
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
Volume 23, Issue 4, Pages 381-399
Publisher
Wiley
Online
2011-11-18
DOI
10.1002/rnc.1834
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- Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form
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