New Predictive Control Scheme for Networked Control Systems |
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Authors: | Bo Liu Yuanqing Xia Magdi S Mahmoud Harris Wu Shisheng Cui |
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Affiliation: | 1. Department of Automatic Control, Beijing Institute of Technology, Beijing, 100086, China 2. Systems Engineering Department, King Fahd University of Petroleum and Minerals, PO Box 5067, Dhahran, 31261, Saudi Arabia 3. College of Business and Public Administration, Old Dominion University, Norfolk, VA, 23529, USA 4. Computer Science Department, Stanford University, Stanford, CA, 94305, USA
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Abstract: | This paper is concerned with the design of networked control systems with random network-induced delay and data dropout. It
presents a new control scheme, which is termed networked predictive control with optimal estimation. Based on Multirate Kalman
Filtering, the measured data which are out of sequence or delayed can be used to improve the precision of estimation. The
control prediction generator provides a set of future control predictions to make the closed-loop system achieve the desired
control performance and the compensator removes the effects of the network transmission with time delay and data dropout.
Simulation results are presented to illustrate the effectiveness of the control strategy via comparing with control schemes
without any compensation for the network. |
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Keywords: | |
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