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Neural PID Control Strategy for Networked Process Control
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A new method with a two-layer hierarchy is presented based on a neural proportional-integral-derivative (PID) iterative learning method over the communication network for the closed-loop automatic tuning of a PID controller.
It can enhance the performance of the well-known simple PID feedback control loop in the local field when real networked process control applied to systems with uncertain factors, such as external disturbance or randomly delayed measurements.
The proposed PID iterative learning method is implemented by backpropagation neural networks whose weights are updated via minimizing tracking error entropy of closed-loop systems.
The convergence in the mean square sense is analysed for closed-loop networked control systems.
To demonstrate the potential applications of the proposed strategies, a pressure-tank experiment is provided to show the usefulness and effectiveness of the proposed design method in network process control systems.
American Psychological Association (APA)
Zhang, Jianhua& Chen, Junghui. 2013. Neural PID Control Strategy for Networked Process Control. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010624
Modern Language Association (MLA)
Zhang, Jianhua& Chen, Junghui. Neural PID Control Strategy for Networked Process Control. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1010624
American Medical Association (AMA)
Zhang, Jianhua& Chen, Junghui. Neural PID Control Strategy for Networked Process Control. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010624
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010624