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Based on the minimizing vector theorem of the fuzzy inner product space ,the pseudo fuzzy orthogonal vector is defined and the projected theorem of the fuzzy inner product space is testified.

在模糊内积空间的极小化向量定理基础上,给出了向量拟模糊正交定义,并在模糊内积空间中证明了投影定理。

Firstly,on the basis of the generalized fuzzy integral,which is defined by nonnegative measurable functions. Through introducing T-norm operator,we extend the integrand functions to the fuzzy valued function and give the definition of so-called T-fuzzy valued integral.

首先,在针对非负可测函数所定义的广义模糊积分的基础上,通过引入T—模算子,将被积函数推广到取值于模糊数的模糊值函数,给出了所谓的T—模糊值积分定义,获得了这种积分的一些基本性质。

The integrating factor and the modifying factor were applied in controller, and interpolation method was used in the modifying factor fuzzy number model. A fuzzy switching mode was employed to avoid the undesirable disturbances caused by the switchover between the two control methods, and execution area of the fuzzy switchover can be set by membership function.

控制器中引入积分因子和自调整修正因子,对修正因子模糊数模型采用在线插值运算;采用模糊切换来保证2种控制的平稳过渡,模糊切换的执行区域可通过设定其隶属函数的形状参数加以确定。

Correspondingly, the concept of fuzzy regular semiideal is introduced and the correspondence theorems of fuzzy regular semiideals and the isomorphism theorems of fuzzy regular quasi-quotient rings are established under ring homomorphism.

相应地,我们引入了模糊正则半理想概念,建立了环同态下模糊正则半理想的对应定理以及模糊正则拟商环的同构定理。

Firstly,the Image Jacobin Matrix for GRB-400 robot which is a dynamic look and move system has been established.Then,a hierarchical Model Reference Adaptive Control law combined with a fuzzy regulator is proposed to solve the control problem,and the comparison of the experimental step responses between system with fuzzy logic and system without fuzzy regulator is delivered.The experimental results show the feasibility and advantage of the control l...

首先建立了视觉伺服GRB-400机器人的图像雅可比矩阵,然后针对该动态Look and Move系统提出了一种带有模糊自调整能力的分层模型参考自适应控制的设计方法,其特点是设计方法简单并可以在线调节相关参数,给出了闭环系统的阶跃响应实验结果,并与原分层模型参考自适应控制闭环系统的动态性能做了比较,实验证明了改进后的闭环系统具有更好的动态性能。

The requirements of efficiency and global-optimization can be met at the same time. Based on the situation of time varying of parameters of system, before entering the inference machine, the fuzzy control rules is learned and tested online by a special designed "judger", the excellent performances of fuzzy control rules which use online control is ensured. Fuzzy cerebellum model articulation control CMAC is used to control the semi-active suspension system for the first time. The convergence of this control algorithm and the convergent range is presented.

并根据实际系统参数时变的特点,用"判别器"对即将进入推理机的模糊规则进行了在线学习和测试,保证了用于实时控制的模糊规则的优良;首次应用模糊小脑模型神经网络控制器对系统实施了控制,并证明了这种控制算法的收敛性,得出了收敛范围;仿真和试验结果表明,GASAF和 FCMAC这两种智能控制算法对车辆的平顺性都有较大的改善,实时性较强。

Thus applications of fuzzy logic and fuzzy control can be viewed as special cases of KBS which have fuzzy boundaries for the rules..

因此,应用模糊逻辑和模糊控制可被视为特殊情况KBS电视台已经模糊边界的规则。。

Fuzzy logic articulate boundaries are not clear qualitative knowledge and experience, which by means of the membership function concept to distinguish between fuzzy sets, deal with fuzzy relations, modeling the human brain implementing rule-based reasoning, address the "law of excluded middle" of the logic of breaking production of various non-...

模糊逻辑善于表达界限不清晰的定性知识与经验,它借助于隶属度函数概念,区分模糊集合,处理模糊关系,模拟人脑实施规则型推理,解决因"排中律"的逻辑破缺产生的种种不。。。

Fuzzy logic articulate boundaries are not clear qualitative knowledge and experience, which by means of the membership function concept to distinguish between fuzzy sets to deal with fuzzy relations, simulated human brain implementation of the rule-based reasoning, address the "law of excluded middle," the logic of breaking produced by various non-...

模糊逻辑善于表达界限不清晰的定性知识与经验,它借助于隶属度函数概念,区分模糊集合,处理模糊关系,模拟人脑实施规则型推理,解决因"排中律"的逻辑破缺产生的种种不。。。

Chapter 2 and Chapter 3 covered the topics about fuzzy set theory, fuzzy variable, linguistic variable and fuzzy logical inference.

第二、三章分析和讨论了与模糊控制有关的模糊集合论、模糊变量、语言变量及模糊逻辑推理等问题。

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