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《电机与拖动》课程教学资源(试卷集)考试试卷二
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一、填空题(每空1分,共20分 1.智能控制是一门新兴的 学科,它具有非常广泛的应用领域,例如 和 2.智能控制系统的主要类型有: 和
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一 、填空题(每空1分,共20分 1.智能控制的研究对象具备的特点有: 和 2.智能控制系统的主要类型有: 和
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Develop a graphical depiction of the operation of the fuzzy controller for the inverted pendulum similar to 3 π the one given in Figure2.1 99 on page46. For this choose(t)=andet)=, which will result in four rules being on. Be sure to show all parts of the graphical depiction
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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
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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
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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
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专家系统(expert system)是人工智能应用研究的主要领域。正如专家系统的先驱费根鲍姆(Feigenbaum)所说: 专家系统的力量是从它处理的知识中产生的,而不是从某种形式主义及其使用的参考模式中产生的。这正符合一 句名言:知识就是力量。自从1965年第一个专家系统 DENDRAL在美国斯坦福大学问世以来,经过20年的研 究开发,到80年代中期,各种专家系统已遍布各个专业领域,取得很大的成功
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基于人工神经网络( Artificial Neural Network)的控制(ann-based Control)简称神经控制(Neural Control)。神经网络是由大量人工神经元(处理单元)按照一定的拓扑结构相互连接而成的一种具有并行计 算能力的网络系统。它是在现代神经生物学和认识科学对人类信息处理研究的基础上提出来的,具有很强 的自适应和学习能力、非线性映射能力、鲁棒性和容错能力
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The design process for fuzzy controllers that is based on the use of heuristic information from human experts has found success in many industrial applications. Moreover, the approach to constructing fuzzy controllers via numerical input-output data is increasingly finding use
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