Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-06-21
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
This paper proposes a new type fuzzy neural systems, denoted IT2RFNS-A (interval type-2 recurrent fuzzy neural system with asymmetric membership function), for nonlinear systems identification and control.
To enhance the performance and approximation ability, the triangular asymmetric fuzzy membership function (AFMF) and TSK-type consequent part are adopted for IT2RFNS-A.
The gradient information of the IT2RFNS-A is not easy to obtain due to the asymmetric membership functions and interval valued sets.
The corresponding stable learning is derived by simultaneous perturbation stochastic approximation (SPSA) algorithm which guarantees the convergence and stability of the closed-loop systems.
Simulation and comparison results for the chaotic system identification and the control of Chua's chaotic circuit are shown to illustrate the feasibility and effectiveness of the proposed method.
American Psychological Association (APA)
Lee, Ching-Hung& Chang, Feng-Yu. 2011. Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm. Mathematical Problems in Engineering،Vol. 2011, no. 2011, pp.1-21.
https://search.emarefa.net/detail/BIM-446462
Modern Language Association (MLA)
Lee, Ching-Hung& Chang, Feng-Yu. Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm. Mathematical Problems in Engineering No. 2011 (2011), pp.1-21.
https://search.emarefa.net/detail/BIM-446462
American Medical Association (AMA)
Lee, Ching-Hung& Chang, Feng-Yu. Interval Type-2 Recurrent Fuzzy Neural System for Nonlinear Systems Control Using Stable Simultaneous Perturbation Stochastic Approximation Algorithm. Mathematical Problems in Engineering. 2011. Vol. 2011, no. 2011, pp.1-21.
https://search.emarefa.net/detail/BIM-446462
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-446462