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Robust Adaptive Control for Nonlinear Discrete-Time Systems by Using Multiple Models
Joint Authors
Li, Xiao-Li
Liu, De-Xin
Li, Jiang-Yun
Ding, Da-Wei
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-14
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Back propagation (BP) neural network is used to approximate the dynamic character of nonlinear discrete-time system.
Considering the unmodeling dynamics of the system, the weights of neural network are updated by using a dead-zone algorithm and a robust adaptive controller based on the BP neural network is proposed.
For the situation that jumping change parameters exist, multiple neural networks with multiple weights are built to cover the uncertainty of parameters, and multiple controllers based on these models are set up.
At every sample time, a performance index function based on the identification error will be used to choose the optimal model and the corresponding controller.
Different kinds of combinations of fixed model and adaptive model will be used for robust multiple models adaptive control (MMAC).
The proof of stability and convergence of MMAC are given, and the significant efficacy of the proposed methods is tested by simulation.
American Psychological Association (APA)
Li, Xiao-Li& Liu, De-Xin& Li, Jiang-Yun& Ding, Da-Wei. 2013. Robust Adaptive Control for Nonlinear Discrete-Time Systems by Using Multiple Models. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010324
Modern Language Association (MLA)
Li, Xiao-Li…[et al.]. Robust Adaptive Control for Nonlinear Discrete-Time Systems by Using Multiple Models. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010324
American Medical Association (AMA)
Li, Xiao-Li& Liu, De-Xin& Li, Jiang-Yun& Ding, Da-Wei. Robust Adaptive Control for Nonlinear Discrete-Time Systems by Using Multiple Models. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010324
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010324