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Design and Implementation of Polynomial Predictive Filtering Based Real-time Networked Control System

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2 Author(s)
Dong Jin-nan ; College of Computer Science and Technology, Jilin University, No.2699, Qianjin Street, Changchun, China, 130025. ; Qin Gui-he

Because transmission uncertainty is an unavoidable drawback of network communication, the real-time performance and stability of networked control systems (NCSs) can be degraded and hard to design or analyze. Theories and techniques of polynomial predictive filtering (PPF) based NCSs are investigated in this paper. A method that alleviates negative consequences resulting from transmission uncertainty by prediction is presented, and samples affected by network transmission are compensated within the expected error by using PPF. As a result, the methods of design and analysis which have already been established in centralized control systems can be applied to NCSs directly.

Published in:

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Date of Conference:

6-8 April 2008