引用本文:苏成利,王树青.一类不确定模糊模型的输出反馈鲁棒预测控制[J].控制理论与应用,2006,23(5):768~772.[点击复制]
SU Cheng-li, WANG Shu-qing .Output feedback robust predictive control based on a class of uncertain fuzzy models[J].Control Theory and Technology,2006,23(5):768~772.[点击复制]
一类不确定模糊模型的输出反馈鲁棒预测控制
Output feedback robust predictive control based on a class of uncertain fuzzy models
摘要点击 1439  全文点击 1034  投稿时间：2005-03-23  修订日期：2005-11-30
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DOI编号  10.7641/j.issn.1000-8152.2006.5.019
  2006,23(5):768-772
中文关键词  模糊模型  非线性系统  输出反馈  线性矩阵不等式  预测控制
英文关键词  fuzzy model  nonlinear systems  output feedback  linear matrix inequality (LMI)  predictive control
基金项目  国家自然科学基金资助项目(60421002)．
作者单位
苏成利,王树青 浙江大学先进控制研究所,浙江杭州310027 
中文摘要
      针对一类满足扇形界条件的不确定模糊模型描述的非线性系统,提出一种输出反馈鲁棒预测控制方法．该方法将鲁棒预测控制的Min-Max优化问题转化为具有LMI约束的线性目标最小化问题,并且不需系统状态完全可测,仅仅利用系统测量输出和不可测状态的界限值来确定保证闭环系统鲁棒稳定的输出反馈控制器．仿真实验证明了该方法的有效性．
英文摘要
      An output feedback robust predictive control approach is proposed based on a class of uncertain fuzzy models satisfying the sector bound condition for nonlinear systems. Firstly, the Min-Max optimization problem of robust predictive control is converted into linear objective minimization problem with linear matrix inequality (LMI) constrains in this approach. The system states do not need to be exactly measurable, only the measurement outputs and the extreme values of the unmeasured states are used to determine the output feedback controller. Robust stability of the closed-loop system is demonstrated. Finally, simulation results show that the proposed approach is an effective control strategy with excellent tracing characteristics and strong robustness.