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Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation
Joint Authors
Zhou, Qi
Liu, Xiaoping
Wang, Huanqing
Karimi, Hamid Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems.
During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique.
It is shown that the proposed controller guarantees that all the signals in the closed-loop system are bounded in probability and the tracking error eventually converges to a small neighborhood around the origin in the sense of mean quartic value.
The main advantages lie in that the proposed controller structure is simpler and only one adaptive parameter needs to be updated online.
Simulation results are used to illustrate the effectiveness of the proposed approach.
American Psychological Association (APA)
Wang, Huanqing& Liu, Xiaoping& Zhou, Qi& Karimi, Hamid Reza. 2014. Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033772
Modern Language Association (MLA)
Wang, Huanqing…[et al.]. Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1033772
American Medical Association (AMA)
Wang, Huanqing& Liu, Xiaoping& Zhou, Qi& Karimi, Hamid Reza. Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033772
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033772