Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control

Xiao-Bing Hu Wen-Hua Chen

Xiao-Bing Hu, Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 195-202. doi: 10.1007/s11633-007-0195-0
引用本文: Xiao-Bing Hu, Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 195-202. doi: 10.1007/s11633-007-0195-0
Xiao-Bing Hu and Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control. International Journal of Automation and Computing, vol. 4, no. 2, pp. 195-202, 2007 doi:  10.1007/s11633-007-0195-0
Citation: Xiao-Bing Hu and Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control. International Journal of Automation and Computing, vol. 4, no. 2, pp. 195-202, 2007 doi:  10.1007/s11633-007-0195-0

Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control

doi: 10.1007/s11633-007-0195-0
基金项目: 

This work was supported by an Overseas Research Students Award to Xiao-Bing Hu.

Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control

Funds: 

This work was supported by an Overseas Research Students Award to Xiao-Bing Hu.

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出版历程
  • 收稿日期:  2006-02-14
  • 修回日期:  2006-11-22
  • 刊出日期:  2007-04-15

Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control

doi: 10.1007/s11633-007-0195-0
    基金项目:

    This work was supported by an Overseas Research Students Award to Xiao-Bing Hu.

摘要: This paper proposes a new method for model predictive control (MPC) of nonlinear systems to calculate stability region and feasible initial control profile/sequence, which are important to the implementations of MPC. Different from many existing methods, this paper distinguishes stability region from conservative terminal region. With global linearization, linear differential inclusion (LDI) and linear matrix inequality (LMI) techniques, a nonlinear system is transformed into a convex set of linear systems, and then the vertices of the set are used off-line to design the controller, to estimate stability region, and also to determine a feasible initial control profile/sequence. The advantages of the proposed method are demonstrated by simulation study.

English Abstract

Xiao-Bing Hu, Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 195-202. doi: 10.1007/s11633-007-0195-0
引用本文: Xiao-Bing Hu, Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2007, 4(2): 195-202. doi: 10.1007/s11633-007-0195-0
Xiao-Bing Hu and Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control. International Journal of Automation and Computing, vol. 4, no. 2, pp. 195-202, 2007 doi:  10.1007/s11633-007-0195-0
Citation: Xiao-Bing Hu and Wen-Hua Chen. Model Predictive Control of Nonlinear Systems: Stability Region and Feasible Initial Control. International Journal of Automation and Computing, vol. 4, no. 2, pp. 195-202, 2007 doi:  10.1007/s11633-007-0195-0
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