Dynamic Neural Network Identification and Decoupling Control Approach for MIMO Time-Varying Nonlinear Systems
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Overcoming the coupling among variables is greatly necessary to obtain accurate, rapid and independent control of the real nonlinear systems.
In this paper, the main methodology, on which the method is based, is dynamic neural networks (DNN) and adaptive control with the Lyapunov methodology for the time-varying, coupling, uncertain, and nonlinear system.
Under the framework, the DNN is developed to accommodate the identification, and the weights of DNN are iteratively and adaptively updated through the identification errors.
Based on the neural network identifier, the adaptive controller of complex system is designed in the latter.
To guarantee the precision and generality of decoupling tracking performance, Lyapunov stability theory is applied to prove the error between the reference inputs and the outputs of unknown nonlinear system which is uniformly ultimately bounded (UUB).
The simulation results verify that the proposed identification and control strategy can achieve favorable control performance.
American Psychological Association (APA)
Shen, Zhixi& Zhao, Kai. 2014. Dynamic Neural Network Identification and Decoupling Control Approach for MIMO Time-Varying Nonlinear Systems. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033680
Modern Language Association (MLA)
Shen, Zhixi& Zhao, Kai. Dynamic Neural Network Identification and Decoupling Control Approach for MIMO Time-Varying Nonlinear Systems. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1033680
American Medical Association (AMA)
Shen, Zhixi& Zhao, Kai. Dynamic Neural Network Identification and Decoupling Control Approach for MIMO Time-Varying Nonlinear Systems. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033680
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033680