更多相关参考论文设计文档资源请访问http:/www.docin.com/lzj781219本科毕业设计外文翻译专 业： 电气及其自动化所在学院： 电子信息工程学院二零一二年六月Iterative sliding mode controlTest A.5. Robustness respect to perturbation in f and g. In this experiment f and g are changed by f + 5 rand andg + 2 rand respectively. The results are shown in Fig. A.5.Test A.6. g is an invertible matrix. According to the theorem discussed previously (case 1) the results for the followingsystem achieved as below (see Fig. A.6):M. Roopaei et al. / Nonlinear Analysis等人分析的非线性混合Test A.7. g is a pseudo-invertible matrix. In this test, the same system with similar initial condition as in test A.1 are considered. The results are shown in Fig. A.7 and the comparison between the controllers amplitudes are considerable.Section B. A new iterative learning control method for stabilizing a class of nonlinear systems B.1. Introduction In the last two decades, iterative learning control has been extensively studied, achieving significant progress in both theory and application.Conventional iterative learning control (ILC) is a relatively new control strategy that updates the control input to improve the system performance by means of system repetition over a finite time interval 35.In this paper, a new type of ILC method is presented. Different from conventional methods which control a process in finite time repetitively, by fixing the time and moving through a new virtual axis, called the index, this new mentioned method tries to find the best value for the control at this time step. In this process, using a Lyapunov Function and satisfying the condition of a Lyapunov Theorem, the stability of the investigated systems are obtained.In Section B.2 problem formulation is presented. Section B.3 presents our controller design method. Section B.4 discuss our results by showing application of our algorithm to some dynamics.B.2. Problem formulationIn this paper, we focus on the design of controllers for a class of SISO nonlinear system whose dynamical equation can be expressed in the following form 69:x(n) = f (X) + g(X)u (5)where X = x, x, . . . , x(n1). It can also be expressed as below;where t is the time, x(t) is the output variable, x(i ) (i = 1, . . . , n 1) is the ith derivative of x(t), u(t) is the input and f and g are known and are uniformly continuous with respect to x and f (0, t) = 0.迭代滑模控制 图. 3。影响了遗忘因子和不带遗忘因子的状态控制器。测试5。鲁棒性方面的扰动，如在本实验而改变的f + 5 _ rand andg + 2 _ rand。结果显示在图5。测试a.6。克是一个可逆矩阵。根据定理讨论以前（案例1）结果如下系统实现了如下（见图a.6）： 试验A . 7。是一个pseudo-invertible矩阵。考虑到在这个测试中，同一个系统中，类似的初始条件下。结果显示在图A . 7和比较控制器的变化幅度是相当大的。B是一种新的迭代控制方法的一类非线性控制系统。B 简介：在过去的二十年中，迭代学习控制已被广泛的研究，理论和应用并取得重大进展。传统的迭代学习控制是一个相对较新的控制策略，更新控制输入提高系统性能的手段，系统重复的有限时间区间3，5。在本文中，介绍一种新的迭代学习控制方法。不同于传统的方法，在有限的时间重复控制一个过程，通过固定的时间和移动通过一个新的虚拟轴，称为指标，这一新的方法试图找到最好的价值在这个时间步长控制。在这个过程中，利用李雅普诺夫功能和满足稳定性条件的一个定理，得到了系统的研究。在第b.2问题提出制定。部分的控制器设计方法。b.4节讨论我们的结果显示需要应用一些动力学算法b.2。问题的提法本文中，我们注重设计的一类控制器的单输入单输出非线性系统的动力学方程可以下面的形式表达69：在哪个时间x(t)是有用输出，x(i ) (i = 1, . . . , n 1)是x(t)的一个连续输出导数，u(t)输一个连续输入与已知的g,f最终持续反馈到x,和f(0,t)=0本参考设计材料，包含项目源代码，设计说明书、任务书、报告书以及文献参考翻译等，完整的设计文件及源代码，资料请联系68661508。索要或访问https:/shop335357914.taobao.com