New predictive control scheme for networked control systems

Bo Liu; Yuanqing Xia; Magdi S. Mahmoud; Harris Wu; Shisheng Cui

doi:10.1007/s00034-011-9359-9

New predictive control scheme for networked control systems

Bo Liu, Yuanqing Xia^*, Magdi S. Mahmoud, Harris Wu, Shisheng Cui

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

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 onMultirate 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.

Original language	English
Pages (from-to)	945-960
Number of pages	16
Journal	Circuits, Systems, and Signal Processing
Volume	31
Issue number	3
DOIs	https://doi.org/10.1007/s00034-011-9359-9
State	Published - Jun 2012

ASJC Scopus subject areas

Signal Processing
Applied Mathematics

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10.1007/s00034-011-9359-9

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title = "New predictive control scheme for networked control systems",

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 onMultirate 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.",

author = "Bo Liu and Yuanqing Xia and Mahmoud, \{Magdi S.\} and Harris Wu and Shisheng Cui",

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AU - Liu, Bo

AU - Xia, Yuanqing

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AU - Wu, Harris

AU - Cui, Shisheng

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AB - 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 onMultirate 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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New predictive control scheme for networked control systems

Abstract

ASJC Scopus subject areas

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