Synthesizing Scheduled Robust Model Predictive Control with Target Tracking

Li Zhang Xian-Wen Gao

Li Zhang, Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2012, 9(4): 337-341. doi: 10.1007/s11633-012-0653-1
引用本文: Li Zhang, Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2012, 9(4): 337-341. doi: 10.1007/s11633-012-0653-1
Li Zhang and Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking. International Journal of Automation and Computing, vol. 9, no. 4, pp. 337-341, 2012 doi:  10.1007/s11633-012-0653-1
Citation: Li Zhang and Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking. International Journal of Automation and Computing, vol. 9, no. 4, pp. 337-341, 2012 doi:  10.1007/s11633-012-0653-1

Synthesizing Scheduled Robust Model Predictive Control with Target Tracking

doi: 10.1007/s11633-012-0653-1

Synthesizing Scheduled Robust Model Predictive Control with Target Tracking

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    Author Bio:

    Li Zhang received his B.Sc. and M.Sc. degrees in control science from Liaoning Technical University, Fuxin, China in 2003 and 2007, respectively, and his Ph.D. degree in control science from Northeastern University, Shenyang, China in 2012. He is currently a lecture in School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, China. His research interests include model predictive control and industrial process modeling. E-mail: neuzhangli@163.com

    Corresponding author: Xian-Wen Gao
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出版历程
  • 收稿日期:  2011-07-04
  • 修回日期:  2011-09-26
  • 刊出日期:  2012-08-20

Synthesizing Scheduled Robust Model Predictive Control with Target Tracking

doi: 10.1007/s11633-012-0653-1
    作者简介:

    Li Zhang received his B.Sc. and M.Sc. degrees in control science from Liaoning Technical University, Fuxin, China in 2003 and 2007, respectively, and his Ph.D. degree in control science from Northeastern University, Shenyang, China in 2012. He is currently a lecture in School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, China. His research interests include model predictive control and industrial process modeling. E-mail: neuzhangli@163.com

摘要: Systems with large operating regions and non-zero state target tracking have limited the industrial application of robust model predictive control (RMPC) with synthetic action. To overcome the problem, this paper presents a novel formulation of synthesizing scheduled RMPC for linear time varying (LTV) systems. Off-line, we compute the matrix that transforms target output into steady state first. Then a set of stabilizing state feedback laws which are corresponding to a set of estimated regions of stability covering the desired operating region are provided. On-line, these control laws are implemented as a single scheduled state feedback model predictive control (MPC) which switches between the set of local controllers and achieve the desired target at last. Finally, the algorithm is illustrated with an example.

English Abstract

Li Zhang, Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2012, 9(4): 337-341. doi: 10.1007/s11633-012-0653-1
引用本文: Li Zhang, Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2012, 9(4): 337-341. doi: 10.1007/s11633-012-0653-1
Li Zhang and Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking. International Journal of Automation and Computing, vol. 9, no. 4, pp. 337-341, 2012 doi:  10.1007/s11633-012-0653-1
Citation: Li Zhang and Xian-Wen Gao. Synthesizing Scheduled Robust Model Predictive Control with Target Tracking. International Journal of Automation and Computing, vol. 9, no. 4, pp. 337-341, 2012 doi:  10.1007/s11633-012-0653-1
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