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Adaptive quantized fuzzy control of stochastic nonlinear systems with actuator dead-zone
Wang F.1; Liu Z.1; Zhang Y.1; Chen C.L.P.2
2016-11-20
Source PublicationInformation Sciences
ISSN00200255
Volume370-371Pages:385-401
AbstractThis paper studies a tracking issue of stochastic nonlinear quantized systems with actuator dead zone. By combing a sector-bounded property of a hysteretic quantizer and a simplified dead zone model, a novel connection between control signal and system input is established. Based on this connection, the stochastic nonlinear quantized control is transformed into the conventional stochastic nonlinear control with unknown control gain and bounded perturbation. Therefore, the control difficulty is overcome, which results from the coexistence of the unknown actuator dead zone and the quantization effect of the control signal. Then, fuzzy logic systems are utilized to cope with the unknown composite nonlinear functions including the bounded perturbation, and an adaptive learning mechanism is set up to compensate the unknown control gain. Hence, a refreshing adaptive fuzzy tracking control scheme is formed to achieve a desired tracking performance.
KeywordAdaptive fuzzy control Backstepping technique Hysteretic quantizer Stochastic nonlinear quantized systems Unknown dead zone
DOI10.1016/j.ins.2016.07.070
URLView the original
Language英語
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Cited Times [WOS]:25   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Guangdong University of Technology
2.Universidade de Macau
3.Shandong University of Science and Technology
Recommended Citation
GB/T 7714
Wang F.,Liu Z.,Zhang Y.,et al. Adaptive quantized fuzzy control of stochastic nonlinear systems with actuator dead-zone[J]. Information Sciences,2016,370-371:385-401.
APA Wang F.,Liu Z.,Zhang Y.,&Chen C.L.P..(2016).Adaptive quantized fuzzy control of stochastic nonlinear systems with actuator dead-zone.Information Sciences,370-371,385-401.
MLA Wang F.,et al."Adaptive quantized fuzzy control of stochastic nonlinear systems with actuator dead-zone".Information Sciences 370-371(2016):385-401.
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