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This paper mainly involves the design of fuzzy control system based on the variable universe method and the design of adaptive fuzzy control system based on the universal approximation theorem of fuzzy system.

本论文主要涉及变论域模糊控制和基于模糊系统泛逼近理论的自适应模糊控制两个方面的内容。

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。

Fuzzy controller base on variable universe is a kind of self-reacting controller,With a proper expandable and shrinkable factor,its universe can be changed according to the change of input error. With fuzzy rules increased greatly, both dynamic performance indices and stable performance indices are improved, compared with common fuzzy logic controller.

变论域模糊控制器是一种高精度的自适应模糊控制器,通过伸缩因子收缩论域,使实际的控制规则大幅度增加,无论在动态性能方面,还是在稳态性能方面,相对于一般模糊控制器均获得了较大的提高。

Based on frozen soil creep tests,yield stress limit is approximately determined by means of experimental tautochrone at first.

在大量冻土蠕变试验的基础上,用等时曲线近似方法确定了冻土的屈服极限,建立了多种粘弹性和粘弹塑性流变模型,采用非线性最小二乘法反演了冻土流变参数,并基于简单性和精确性原则,建立了冻土模糊优选模型。

A new fuzzy control strategy was presented for the temperature in the tunnel kiln based on adaptive particle swarm optimization algorithms.

针对隧道窑燃烧过程中的大惯性、纯滞后、多变量、时变参数以及工作机理复杂等特征,利用清晰集构造模糊集法确定模糊控制器输入量和输出量的隶属函数,并基于自适应粒子群算法给出了隧道窑新的温度模糊控制策略。

On this foundation, application changes control of structural slippery model designed dimensional machine theoretically inertial space contrail coordinates brachial carrier attitude and extreme ungual hand of motion change; of program of control of structural slippery model to overcome afore-mentioned changing controller of structural slippery model trembles brace up defect, add designed an ambiguous controller, with coming to dynamic adjustment to change according to control output of the system the structure slips the coefficient that the fast approach such as modular controller leads, achieve thereby make sure the system is had already answer quickly can eliminate original controller to have again tremble brace up the purpose of defect.

在此基础上,应用变结构滑模控制理论设计了空间机械臂载体姿态和末端爪手惯性空间轨迹协调运动的变结构滑模控制方案;为了克服上述变结构滑模控制器抖振的缺点,附加设计了一个模糊控制器,以根据系统的控制输出来动态调节变结构滑模控制器等速趋近率的系数,从而达到既保证系统具有快速响应又能消除原有控制器具有抖振缺点的目的。

Applied with space vector diagram, a novel method for analyzing the control law and current controllability of variable structure control is proposed The detail discussions of parameter design, robustness and stability analysis are also made Furthermore, based on modeling the DC capacitor voltage control subsystem, a kind of fuzzy voltage controller is proposed, which results in good control performance In order to reduce the chattering of variable structure, a novel control scheme----fuzzy variable structure control is proposed in the fifth chapter.

针对变结构控制在应用中出现的抖振问题,本文第5章应用趋近率控制与模糊控制的有机结合,提出了模糊变结构控制策略,并应用空间矢量分析法揭示了其控制机理。

This algorithm integrates the fuzzy logic and the sliding mode control. By this method, the control incontinuity is smoothed in a thin band of the switching plane so that the vibration of fuzzy sliding mode control is eliminated.

该算法将模糊逻辑和变结构控制结合起来,利用模糊方法,在切换面临近的一个薄边界层内对控制的不连续性加以平滑,以减弱变结构控制产生的抖振。

A fuzzy indiscernibility relation is changed into the indiscernibility relation by using a λ-cut in the rough approximation of decision classes, and an extension of VPRS method is proposed in which probabilistic rules are obtained from fuzzy decision tables.

为了从模糊近似空间中获取用于概率决策的规则,在决策类的粗糙近似中,通过应用λ-截集,将模糊不可分辨关系转化为等价关系,提出一种可从模糊决策表中获取概率规则的扩展变精度粗糙集方法。

Aiming at the characteristics of car retarder control system and its performance requirement, a fuzzy self tuning PD controller for retarder control is designed. It takes speed error and its change as fuzzy variables to determine the fuzzy control rules. Using the determined rules, the parameters of PD controller is adjusted on-line, which can be adapted well to required speed and the process parameter variation of retarder feedback control.

针对车辆减速器控制系统的特点和性能要求,设计减速器模糊在线自校正控制器,以调速过程中速度误差及其变化为输入语言变量,建立模糊控制规则;根据模糊控制规则在线调整PD控制器的参数,使控制器能较好地适应减速器闭环控制定速设定及过程参数时变。

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