| 引用本文: | 师五喜.未知多变量非线性系统自适应模糊预测控制[J].控制理论与应用,2011,28(10):1399~1404.[点击复制] |
| SHI Wu-xi.Adaptive fuzzy predictive control for unknown multivariable nonlinear systems[J].Control Theory and Technology,2011,28(10):1399~1404.[点击复制] |
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| 未知多变量非线性系统自适应模糊预测控制 |
| Adaptive fuzzy predictive control for unknown multivariable nonlinear systems |
| 摘要点击 2163 全文点击 1481 投稿时间：2010-04-29 修订日期：2010-11-02 |
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| DOI编号 |
| 2011,28(10):1399-1404 |
| 中文关键词 未知多变量非线性系统 自适应模糊控制 预测控制 时变死区 |
| 英文关键词 unknown multivariable nonlinear systems adaptive fuzzy control predictive control time-varying deadzone |
| 基金项目 国家自然科学基金资助项目(60974054); 天津市自然科学基金资助项目(10JCYBJC07400). |
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| 中文摘要 |
| 对一类未知多变量非线性系统提出了直接自适应模糊预测控制方法, 此方法首先对被控对象提出了线性时变子模型加非线性子模型的预测模型, 然后直接用模糊逻辑系统组成的向量来设计预测控制器, 并基于时变死区函数对控制器中的未知向量和广义误差估计值中的未知矩阵进行自适应调整. 文中证明了此方法可使广义误差向量估计值收敛到原点的一个邻域内. |
| 英文摘要 |
| We present a direct adaptive fuzzy predictive control method for a class of unknown multivariable nonlinear systems. In this method, the plant is represented by a predictive model consisting of a linear time-varying submodel and a nonlinear submodel; the vector composed of fuzzy logic systems is used to design the predictive controller directly. The unknown vector in the controller and the unknown matrix in estimates of the generalized error are adjusted based on the time-varying function of dead-zone. It is proved that the proposed method can make the estimates of the generalized error vector converge to a neighborhood of the origin. |