UM
Adaptive Quantized Controller Design Via Backstepping and Stochastic Small-Gain Approach
Wang F.; Liu Z.; Zhang Y.; Chen C.L.P.
2016
Source PublicationIEEE Transactions on Fuzzy Systems
ISSN10636706
Volume24Issue:2Pages:330
AbstractThis paper addresses an output feedback stabilization problem for a class of stochastic nonlinear systems with unmodeled dynamics preceded by hysteretic quantized input. To deal with unmeasurable states, a novel state observer that contains the quantized control is introduced. By presenting a new nonlinear decomposition for the hysteretic quantized input, the major technique difficulty coming from the discrete quantized input is overcome. By utilizing the backstepping technique and employing the stochastic small-gain theorem, a direct adaptive fuzzy output feedback control scheme is developed. The proposed design approach can guarantee that the closed-loop system is input-to-state practically stable in probability. Finally, a simulation example verifies the proposed control scheme. © 2015 IEEE.
KeywordAdaptive quantized control backstepping Stochastic nonlinear systems
DOI10.1109/TFUZZ.2015.2454232
URLView the original
Language英语
The Source to ArticleScopus
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Cited Times [WOS]:52   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
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GB/T 7714
Wang F.,Liu Z.,Zhang Y.,et al. Adaptive Quantized Controller Design Via Backstepping and Stochastic Small-Gain Approach[J]. IEEE Transactions on Fuzzy Systems,2016,24(2):330.
APA Wang F.,Liu Z.,Zhang Y.,&Chen C.L.P..(2016).Adaptive Quantized Controller Design Via Backstepping and Stochastic Small-Gain Approach.IEEE Transactions on Fuzzy Systems,24(2),330.
MLA Wang F.,et al."Adaptive Quantized Controller Design Via Backstepping and Stochastic Small-Gain Approach".IEEE Transactions on Fuzzy Systems 24.2(2016):330.
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