Exercise 2.3(Inverted Pendulum: Gaussian Membership Functions): Suppose that for the inverted pendulum example, we use Gaussian membership functions as defined in Table 2. 4 on page 53 rather than the triangular membership functions. To do this, use the same center values as we had for the triangular membership functions, use the\left\and\right\membership functions shown in Table 2. 4 for the outer edges of the input

problem you will study how to represent various concepts and quantify various relations with membership functions. For each part below, there is more than one correct answer. Provide one of these and justify your choice in each case. (a)Draw a membership function (and hence define a fuzzy set) that quantifies the set of all people of medium height

二由Bode图确定系统的传递函数步骤: 1.用±20ndb/dec的直线段去近似实验所得对数幅频特性 2开环增益K的确定

概述:闭环系统的动态性能与闭环极点在s平面上的位置密切相关系统的闭 环极点也就是特征方程式的根当系统的某一个或某些参量变化时特征 方程的根在s平面上运动的轨迹称为根轨迹 根轨迹法:直接由开环传递函数求取闭环特征根的方法

一利用主导极点估算系统的性能指标 表5-4(93) 二增加开环零、极点对根轨迹的影响. 表5-5(p94) 结论:1增加开环零点后根轨迹将向零点方向弯曲若选择适当可与极点 构成偶极子抵消有损于系统稳定性的极点 2增加开环极点后根轨迹向右弯曲不利于系统的稳定性和动态性 能

一、参量根轨迹 以非K为参变量的根轨迹称参量根轨迹又称广义根轨迹.绘制方法:将参量演化到相当于K的位置上适用前述规则 二.多回路系统的根轨迹 从内环开始分层绘制逐步扩展到整个系统

一、Bode图及其特点 1.Bode图的构成 对数幅频L(a)=mG(j)H(ja)|=201gG(a)H(a) 对数相频(a)=∠Gj)Ha)

this problem you will study how to represent various concepts and quantify various relations with membership functions when there is more than one universe of discourse. Use minimum to quantify the\and.\For each part below, there is more than one correct answer. Provide one of these and justify your choice in each case. Also, in each case draw the three-dimensional

There are many concepts that are used in fuzzy sets that sometimes become useful when studying fuzzy control. The following problems introduce some of the more popular fuzzy set concepts that not treate were not treated earlier in the chapter. (a)The\support\ of a fuzzy set with membership function (x) is the(crisp) set of all points x on the universe of discourse such

There are many concepts that are used in fuzzy logic that sometimes become useful when studying fuzzy control. The following problems introduce some of the more popular fuzzy logic oncepts that were not treated earlier in the chapter or were treated only briefly (a)The complement(\not )of a fuzzy set with a membership function has a membership function given by A(x)=1-u(x). Sketch the complement of the fuzzy set shown in Figure 2.6 on page 30 (b)There are other ways to def ine the\triangular norm\for representing