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    • 42. 发明申请
    • Intelligent robust control system for motorcycle using soft computing optimizer
    • 使用软计算优化器的摩托车智能鲁棒控制系统
    • US20050197994A1
    • 2005-09-08
    • US10792292
    • 2004-03-03
    • Shigeru FujiiHitoshi WatanabeSergey PanfilovKazuki TakahashiSergey Ulyanov
    • Shigeru FujiiHitoshi WatanabeSergey PanfilovKazuki TakahashiSergey Ulyanov
    • B62J99/00B62K21/00G06N3/00G06F17/50B62D6/00G05B13/02G05D1/00G06F7/00G06F15/18G06F17/00G06F19/00G06N3/12G06N5/02G06N7/00
    • B62K21/00
    • A Soft Computing (SC) optimizer for designing a Knowledge Base (KB) to be used in a control system for controlling a motorcycle is described. In one embodiment, a simulation model of the motorcycle and rider control is used. In one embodiment, the simulation model includes a feedforward rider model. The SC optimizer includes a fuzzy inference engine based on a Fuzzy Neural Network (FNN). The SC Optimizer provides Fuzzy Inference System (FIS) structure selection, FIS structure optimization method selection, and teaching signal selection and generation. The user selects a fuzzy model, including one or more of: the number of input and/or output variables; the type of fuzzy inference; and the preliminary type of membership functions. A Genetic Algorithm (GA) is used to optimize linguistic variable parameters and the input-output training patterns. A GA is also used to optimize the rule base, using the fuzzy model, optimal linguistic variable parameters, and a teaching signal. The GA produces a near-optimal FNN. The near-optimal FNN can be improved using classical derivative-based optimization procedures. The FIS structure found by the GA is optimized with a fitness function based on a response of the actual plant model of the controlled plant. The SC optimizer produces a robust KB that is typically smaller that the KB produced by prior art methods.
    • 描述了用于设计用于控制摩托车的控制系统中使用的知识库(KB)的软计算(SC)优化器。 在一个实施例中,使用摩托车和骑手控制的仿真模型。 在一个实施例中,模拟模型包括前馈骑手模型。 SC优化器包括基于模糊神经网络(FNN)的模糊推理机。 SC优化器提供模糊推理系统(FIS)结构选择,FIS结构优化方法选择和教学信号选择与生成。 用户选择模糊模型,包括以下一个或多个:输入和/或输出变量的数量; 模糊推理的类型; 和初步类型的会员职能。 遗传算法(GA)用于优化语言变量参数和输入 - 输出训练模式。 GA也用于优化规则库,使用模糊模型,最优语言变量参数和教学信号。 GA产生近乎最佳的FNN。 可以使用经典的基于导数的优化程序来改进近似最优的FNN。 GA发现的FIS结构通过基于受控植物实际植物模型的响应的适应度函数进行优化。 SC优化器产生通常比现有技术方法产生的KB更小的鲁棒KB。
    • 43. 发明申请
    • Soft computing optimizer of intelligent control system structures
    • 智能控制系统结构的软计算优化器
    • US20050119986A1
    • 2005-06-02
    • US10897978
    • 2004-07-23
    • Sergey PanfilovLudmila LitvintsevaSergey UlyanovViktor UlyanovKazuki Takahashi
    • Sergey PanfilovLudmila LitvintsevaSergey UlyanovViktor UlyanovKazuki Takahashi
    • G06F15/18G06F17/00G06G7/00G06N5/02G06N5/04G06N7/00G06N7/08H04N5/91
    • G06N5/022G06N5/048
    • The present invention involves a Soft Computing (SC) optimizer for designing a Knowledge Base (KB) to be used in a control system for controlling a plant such as, for example, an internal combustion engine or an automobile suspension system. The SC optimizer includes a fuzzy inference engine based on a Fuzzy Neural Network (FNN). The SC Optimizer provides Fuzzy Inference System (FIS) structure selection, FIS structure optimization method selection, and teaching signal selection and generation. The user selects a fuzzy model, including one or more of: the number of input and/or output variables; the type of fuzzy inference model (e.g., Mamdani, Sugeno, Tsukamoto, etc.); and the preliminary type of membership functions. A Genetic Algorithm (GA) is used to optimize linguistic variable parameters and the input-output training patterns. A GA is also used to optimize the rule base, using the fuzzy model, optimal linguistic variable parameters, and a teaching signal. The GA produces a near-optimal FNN. The near-optimal FNN can be improved using classical derivative-based optimization procedures. The FIS structure found by the GA is optimized with a fitness function based on a response of the actual plant model of the controlled plant. The SC optimizer produces a robust KB that is typically smaller that the KB produced by prior art methods.
    • 本发明涉及一种软计算(SC)优化器,用于设计用于控制诸如内燃机或汽车悬架系统的设备的控制系统中的知识库(KB)。 SC优化器包括基于模糊神经网络(FNN)的模糊推理机。 SC优化器提供模糊推理系统(FIS)结构选择,FIS结构优化方法选择和教学信号选择与生成。 用户选择模糊模型,包括以下一个或多个:输入和/或输出变量的数量; 模糊推理模型的类型(例如,Mamdani,Sugeno,Tsukamoto等); 和初步类型的会员职能。 遗传算法(GA)用于优化语言变量参数和输入 - 输出训练模式。 GA也用于优化规则库,使用模糊模型,最优语言变量参数和教学信号。 GA产生近乎最佳的FNN。 可以使用经典的基于导数的优化程序来改进近似最优的FNN。 GA发现的FIS结构通过基于受控植物实际植物模型的响应的适应度函数进行优化。 SC优化器产生通常比现有技术方法产生的KB更小的鲁棒KB。
    • 44. 发明授权
    • Centrifugal compressor and diffuser for centrifugal compressor
    • 离心压缩机离心压缩机和扩散器
    • US06203275B1
    • 2001-03-20
    • US09142013
    • 1998-08-31
    • Hiromi KobayashiHideo NishidaKazuki TakahashiTakashi Eino
    • Hiromi KobayashiHideo NishidaKazuki TakahashiTakashi Eino
    • F04D2944
    • F04D29/444F04D17/122
    • In a multi-stage centrifugal compressor, having a plurality of impellers mounted on a rotation shaft, or a single-stage centrifugal compressor, a vaned diffuser, having a plurality of vanes, is mounted at a downstream side of the impeller, and a vaneless diffuser portion is formed downstream of this vaned diffuser. A meridian plane cross-sectional shape of each of two wall surfaces forming the vaneless diffuser portion provided downstream of the vaned diffuser is such that its channel height is decreased progressively in a downstream direction. Instead of this vaneless diffuser, there can be provided a second vaned diffuser having a small number of vanes. In this case, also, two wall surfaces, forming the second vaned diffuser, are contracted progressively in the downstream direction.
    • 在具有安装在旋转轴上的多个叶轮或单级离心式压缩机的多级离心压缩机中,具有多个叶片的叶片式扩散器安装在叶轮的下游侧,并且无叶 扩散器部分形成在该扩散器的下游。 形成设在叶片扩散器下游的无叶漫射器部分的两个壁面中的每一个的子午线截面形状使得其通道高度沿下游方向逐渐减小。 代替这种无叶漫射器,可以提供具有少量叶片的第二扇形扩散器。 在这种情况下,形成第二叶片式扩散器的两个壁面也在下游方向逐渐收缩。
    • 45. 发明授权
    • Control circuit for automobile headlamps emitting light in variable color
    • 汽车前大灯控制电路,可变色发光
    • US5528475A
    • 1996-06-18
    • US360091
    • 1994-12-20
    • Kazuki TakahashiMakoto IzawaToshihisa HayamiHideki UchidaTakayuki Unno
    • Kazuki TakahashiMakoto IzawaToshihisa HayamiHideki UchidaTakayuki Unno
    • B60Q1/076B60Q1/00
    • B60Q1/076Y10S362/802
    • A control circuit for automobile headlamps which emit light in variable color. The control circuit prevents left and right headlamps from emitting beams of light in different colors. Each headlamp includes a white light bulb, and a yellow globe is moved from a first position to a second position to cover the bulb when yellow light is selected, and the yellow globe is moved back to the first position when white light is selected. If the movement of the globe stops between the first and second positions, the control circuit generates a fault signal for turning off the headlamp associated with the fault, thus preventing the headlamps from emitting light of different colors. Alternatively, the control circuit can adjust the position of the globe for the headlamp without the fault to be in agreement with the position with the headlamp having the fault, such that both headlamps emit light of the same color.
    • 用于以可变颜色发光的汽车前大灯的控制电路。 控制电路防止左右前照灯发出不同颜色的光束。 每个前照灯包括一个白色灯泡,当选择黄色光时,黄色球体从第一位置移动到第二位置以覆盖灯泡,并且当选择白光时,黄色球体移回到第一位置。 如果地球的移动停止在第一和第二位置之间,则控制电路产生用于关闭与故障相关的前照灯的故障信号,从而防止前照灯发出不同颜色的光。 或者,控制电路可以调整头灯的球形灯的位置,而不会发生故障,使其与具有故障的前照灯的位置一致,使得两个前照灯都发出相同颜色的光。
    • 49. 发明申请
    • Restriction System
    • 限制系统
    • US20150215535A1
    • 2015-07-30
    • US14164084
    • 2014-01-24
    • Kazuki Takahashi
    • Kazuki Takahashi
    • H04N5/232H04N5/225
    • H04N5/2254G03B11/04
    • A restriction system selectively restricts a camera on a communication device from recording an image. The system includes a barrier portion that engages the camera. The barrier portion moves along a camera proximal area to better engage the camera. The barrier portion moves in front of the camera to at least partially restrict the camera view and create a blocked position. The barrier portion also moves away from the camera view to enable the camera to record an image, in an open position. At least one barrier fastener helps secure a mounting surface on the barrier to the camera proximal area. A front surface of the barrier displays a decorative indicia. While in the open position an alert portion, such as colored stones, displays to signal that the camera is operable to capture images. This serves as a visual reminder. The alert portion is covered in the blocked position.
    • 限制系统选择性地限制通信设备上的相机记录图像。 该系统包括接合照相机的屏障部分。 屏障部分沿相机近端区域移动以更好地接合相机。 屏障部分在相机前移动以至少部分地限制相机视图并创建阻挡位置。 屏障部分也远离相机视图移动,以使照相机能够将图像记录在打开位置。 至少一个阻挡件有助于将屏障上的安装表面固定到相机近侧区域。 屏障的前表面显示装饰标记。 当处于打开位置时,诸如彩色石头的警报部分显示以指示照相机可操作地捕获图像。 这作为视觉提醒。 警报部分被覆盖在阻止位置。