Regular Papers
International Journal of Control, Automation and Systems 2014; 12(2): 241-250
Published online May 11, 2017
https://doi.org/10.1007/s12555-012-0377-6
© The International Journal of Control, Automation, and Systems
Robust Stability Conditions for DMC Controller with Uncertain Time Delay
For Networked Control Systems (NCSs), the conventional Dynamic Matrix Control (DMC) may not applicable due to the unknown transmission delay. The uncertain time delay was usually converted to constant time delay by using registers. This paper addresses the stability problem for single-input-single-output (SISO) linear NCSs with uncertain time delay via DMC controller. A novel DMC controller which is effective for such NCSs has been proposed. Applying Jury’s dominant coefficient lemma, the sufficient stability and stabilization conditions are presented. Finally, numerical examples are given to demonstrate the theoretical results.
Keywords Dynamic matrix control, model predictive control, networked control systems, stability, time delay.
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Regular Papers
International Journal of Control, Automation and Systems 2014; 12(2): 241-250
Published online April 1, 2014 https://doi.org/10.1007/s12555-012-0377-6
Copyright © The International Journal of Control, Automation, and Systems.
Robust Stability Conditions for DMC Controller with Uncertain Time Delay
Yang Ge*, Jingcheng Wang*, and Chuang Li
Shanghai Jiao Tong University
Abstract
For Networked Control Systems (NCSs), the conventional Dynamic Matrix Control (DMC) may not applicable due to the unknown transmission delay. The uncertain time delay was usually converted to constant time delay by using registers. This paper addresses the stability problem for single-input-single-output (SISO) linear NCSs with uncertain time delay via DMC controller. A novel DMC controller which is effective for such NCSs has been proposed. Applying Jury’s dominant coefficient lemma, the sufficient stability and stabilization conditions are presented. Finally, numerical examples are given to demonstrate the theoretical results.
Keywords: Dynamic matrix control, model predictive control, networked control systems, stability, time delay.
Vol. 22, No. 12, pp. 3545~3811
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