A Stable Adaptive Control Method in Networked Control System

Article Preview

Abstract:

In this paper it has made study on long time-delay network control system which is greater than one sampling period, it has made modeling on sensor node time drive, controller node and actuator node event-driven system The special question has been considered which was brought more than one sampling period delay, the fuzzy control logic has been applied in MATLAB to design an adaptive Fuzzy controller, when the network time delay changes the controller parameters can be adjusted dynamically, to make dynamic compensation on network time delay, and through simulation experiments to verify the algorithm effectiveness.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

4837-4844

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] H. F¨uessler, M. Mauve, H. Hartenstein, M. Ksemann, and D. Vollmer, The Use of the Adaptive Control Algorithm in Networked Control System, " In Proceedings of MOBICOM 2002, Student Poster, (2002).

Google Scholar

[2] H. -Y. Hsieh and R. Sivakumar, Simulation of Adaptive DMC Algorithm in Networked Control Systems, International Conference on 3G Wireless and Beyon, San Francisco, CA, USA, May (2002).

Google Scholar

[3] T. Goff, N. B. Abu-Ghazaleh, D. S. Phatak and R. Kahvecioglu, Adaptive algorithm of universal learning network and its application to predictive control, MOBICOM 2001 , Rome, Italy, July (2001).

Google Scholar

[4] M. Mauve, J. Widmer, H. Hartenstein, QoS-based Parameter Adaptive Fuzzy Control of NCS, In IEEE Network. Vol. 15 (2001), Nr. 6, S. 30-39.

Google Scholar

[5] M. Rudack, M. Meincke and M. Lott, Neural Network Controller Based on Adaptive Interaction Algorithm, The 2002 International Conference on Wireless Networks ICWN 2002, Las Vegas, USA, June (2002).

Google Scholar

[6] Katz Z, Tibbles CJ, Hashash Y M A. Hook J J. Schmidt B Neural Network Controller Based on Adaptive Interaction Algorithm , International Journal of Advanced Manufacturing Technology, Vol. 25, May 2005, p.923–928.

Google Scholar

[7] Curodeau A, Marceau LF, Richard M, Lessard J, Nonlinear System Predictive Control Based on a Novel Dynamic Back Propagation Algorithm, Journal of Materials Processing Technology, Vol. 159, January 2005, p.17–26.

Google Scholar

[8] Schulze HP, Herms R, Juhr H, Schaetzing W, Wollenberg G, Model Reference Adaptive Control Based on the BP Nerve Network, Journal of Materials Processing Technology, Vol. 149, June 2004, p.316–322.

DOI: 10.1016/j.jmatprotec.2004.02.016

Google Scholar

[9] J. Greensmith and U. Aickelin, Adaptive Control Method for Recurrent Neural Network of Aeroengine, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007), p.49–56.

Google Scholar

[10] Y. Al-Hammadi, U. Aickelin and J. Greensmith, Study on nonlinear adjustment of neural network PID control system, Proceedings of the IEEE World Congress on Evolutionary Computation 2008 (CEC08), inprint.

DOI: 10.1109/cec.2008.4631034

Google Scholar