Volume 8 Number 1
February 2011
Article Contents
Peng-Yuan Zheng, Yu-Geng Xi and De-Wei Li. An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations. International Journal of Automation and Computing, vol. 8, no. 1, pp. 134-140, 2011. doi: 10.1007/s11633-010-0565-x
Cite as: Peng-Yuan Zheng, Yu-Geng Xi and De-Wei Li. An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations. International Journal of Automation and Computing, vol. 8, no. 1, pp. 134-140, 2011. doi: 10.1007/s11633-010-0565-x

An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations

Author Biography:
  • Yu-Geng Xi received the Dr.-Ing.de- gree in automatic control from the Techni- cal University Munich,Germany in 1984.

  • Corresponding author: Peng-Yuan Zheng received his B.Sc. degree in electrical engineering and au- tomation from the North University of China,PRC in 2000,the M.Sc.
  • Received: 2010-04-13
Fund Project:

supported by National Natural Science Foundation of China (No.60934007, No.61074060);China Postdoctoral Science Foundation (No.20090460627);Shanghai Postdoctoral Scientific Program (No.10R21414600);China Postdoctoral Science Foundation Special Support (No.201003272)

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An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations

  • Corresponding author: Peng-Yuan Zheng received his B.Sc. degree in electrical engineering and au- tomation from the North University of China,PRC in 2000,the M.Sc.
Fund Project:

supported by National Natural Science Foundation of China (No.60934007, No.61074060);China Postdoctoral Science Foundation (No.20090460627);Shanghai Postdoctoral Scientific Program (No.10R21414600);China Postdoctoral Science Foundation Special Support (No.201003272)

Abstract: In this paper, a robust model predictive control approach is proposed for a class of uncertain systems with time-varying, linear fractional transformation perturbations. By adopting a sequence of feedback control laws instead of a single one, the control performance can be improved and the region of attraction can be enlarged compared with the existing model predictive control (MPC) approaches. Moreover, a synthesis approach of MPC is developed to achieve high performance with lower on-line computational burden. The effectiveness of the proposed approach is verified by simulation examples.

Peng-Yuan Zheng, Yu-Geng Xi and De-Wei Li. An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations. International Journal of Automation and Computing, vol. 8, no. 1, pp. 134-140, 2011. doi: 10.1007/s11633-010-0565-x
Citation: Peng-Yuan Zheng, Yu-Geng Xi and De-Wei Li. An Improved Robust Model Predictive Control Approach to Systems with Linear Fractional Transformation Perturbations. International Journal of Automation and Computing, vol. 8, no. 1, pp. 134-140, 2011. doi: 10.1007/s11633-010-0565-x
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