Hybrid Adaptive Bionic Fuzzy Control Method
Joint Authors
Li, Yan
Zhang, Faxiang
Li, Yimin
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The bionic fuzzy system embeds the biologically active adaptive strategy into the traditional T-S fuzzy system, which increases the active adaptability.
On the basis of the researches, an identification model is added to the system, and a hybrid bionic adaptive fuzzy control method is proposed in this paper, which makes the system have biological adaptability and strong anti-interference ability.
The adaptive law contains two items: the first one is the general term for adjusting system parameters by using the current state and the second one is a compensation item for the adjustment of system parameters based on the development trend.
Lyapunov synthesis method is used to analyze the stability and convergence of system.
The design method of fuzzy controller, adaptive laws, and parameter constraints are given.
Finally, the effectiveness of the method is verified by simulation of inverted pendulum model.
American Psychological Association (APA)
Li, Yan& Li, Yimin& Zhang, Faxiang. 2017. Hybrid Adaptive Bionic Fuzzy Control Method. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1192673
Modern Language Association (MLA)
Li, Yan…[et al.]. Hybrid Adaptive Bionic Fuzzy Control Method. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1192673
American Medical Association (AMA)
Li, Yan& Li, Yimin& Zhang, Faxiang. Hybrid Adaptive Bionic Fuzzy Control Method. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1192673
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192673