Static Output Feedback Robust Stabilization: A Gradient Iterative LMI Approach

摘要：

In order to see whether a linear system with ill-conditioned state matrix can be stabilized by static output feedback, by modifying the iterative linear matrix inequality (ILMI) algorithm, a gradient ILMI algorithm is proposed, which used the linear system matrix condition number as the termination term of iteration. Given certain closed loop system robust requirement, the new algorithm can get the maximum degree of stability and give clearly out the feedback gain matrix. Finally, those two algorithms used, the effects are contrasted that the numbers of output feedback variables have on the magnetic levitation control system.

作者: Dongsheng Zou Longhua She Wensen Chang

作者单位: Department of Mechatronics Engineering and Automation National University of Defence Technology Changsha, 410073, P.R.China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 567-569

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）