论文标题
一种用于MIMO系统的新型无模型方法，并讨论了无模型或基于模型的方法
A New Model-Free Method for MIMO Systems and Discussion on Model-Free or Model-Based
论文作者
论文摘要
当前的无模型自适应控制（MFAC）几乎无法处理多输入多输出（MIMO）系统中的时间延迟问题。为了解决这个问题，提出了一种新型的无模型自适应预测控制（MFAPC）方法。与当前的MFAC相比，i）提出的方法基于一种预测模型，该模型源自等效动力 - 线性化模型（EDLM）； ii）先前的假设是放松的，并扩展了MFAPC的应用范围。系统描述中控制输入矢量的领先系数不再仅限于对角线占主导地位的正方形矩阵，并且伪订单的允许范围LY和LU的允许范围被扩展； iii）绩效分析和如何选择矩阵λ的问题是通过简单地分析闭环电线杆的功能来完成的，但是，这两个问题可能无法通过先前的收缩映射方法来实现。
Current model-free adaptive control (MFAC) can hardly deal with the time delay problem in multiple-input multiple-output (MIMO) systems. To solve this problem, a novel model-free adaptive predictive control (MFAPC) method is proposed. Compared to the current MFAC, i) the proposed method is based on a kind of prediction model which derives from the equivalent-dynamic-linearization model (EDLM); ii) the previous assumptions are relaxed and the application range of MFAPC are extended. The leading coefficient of the control input vector in system description is no more restricted to the diagonally dominant square matrix and the permissible ranges of pseudo orders Ly and Lu are extended; iii) the performance analysis and the issue of how to choose the matrix λ are completed by an easy manner of analyzing the function of the closed-loop poles, however, both problems may not be realized by the previous contraction mapping method.
