![](/images/graphics-bg.png)
Adaptive Neural Tracking Control for Discrete-Time Switched Nonlinear Systems with Dead Zone Inputs
Joint Authors
Wang, Jidong
Si, Xiaoping
Zhu, Lengxue
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In this paper, the adaptive neural controllers of subsystems are proposed for a class of discrete-time switched nonlinear systems with dead zone inputs under arbitrary switching signals.
Due to the complicated framework of the discrete-time switched nonlinear systems and the existence of the dead zone, it brings about difficulties for controlling such a class of systems.
In addition, the radial basis function neural networks are employed to approximate the unknown terms of each subsystem.
Switched update laws are designed while the parameter estimation is invariable until its corresponding subsystem is active.
Then, the closed-loop system is stable and all the signals are bounded.
Finally, to illustrate the effectiveness of the proposed method, an example is employed.
American Psychological Association (APA)
Wang, Jidong& Zhu, Lengxue& Si, Xiaoping. 2017. Adaptive Neural Tracking Control for Discrete-Time Switched Nonlinear Systems with Dead Zone Inputs. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143098
Modern Language Association (MLA)
Wang, Jidong…[et al.]. Adaptive Neural Tracking Control for Discrete-Time Switched Nonlinear Systems with Dead Zone Inputs. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1143098
American Medical Association (AMA)
Wang, Jidong& Zhu, Lengxue& Si, Xiaoping. Adaptive Neural Tracking Control for Discrete-Time Switched Nonlinear Systems with Dead Zone Inputs. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143098