公开(公告)号：US5757287A

公开(公告)日：1998-05-26

申请号：US584667

申请日：1996-01-11

申请人： Tadaaki Kitamura ,  Yoshiki Kobayashi ,  Kunio Nakanishi ,  Masakazu Yahiro ,  Yoshiyuki Satoh ,  Toshiro Shibata ,  Takeshi Horie ,  Katsuyuki Yamamoto ,  Masao Takatoo ,  Haruki Inoue ,  Kazuyoshi Asada

发明人： Tadaaki Kitamura ,  Yoshiki Kobayashi ,  Kunio Nakanishi ,  Masakazu Yahiro ,  Yoshiyuki Satoh ,  Toshiro Shibata ,  Takeshi Horie ,  Katsuyuki Yamamoto ,  Masao Takatoo ,  Haruki Inoue ,  Kazuyoshi Asada

IPC分类号： G06T7/20 ,  G08G1/04 ,  G08G1/017

CPC分类号： G08G1/04 ,  G06T7/204 ,  G06T2207/10016 ,  G06T2207/30232 ,  G06T2207/30236 ,  G06T2207/30241 ,  G06T2207/30248

摘要： An object recognition system using the image processing in which an area having a unique feature is extracted from an input image of an object, the unique image is registered in a shade template memory circuit as a shade template, the input image is searched for an image similar to the shade template registered by a shade pattern matching circuit, the position of an object is determined for each template, the speed and direction of movement of the object is determined from the positional information, and the results thereof are integrated by a separation/integration circuit, thereby recognizing the whole of the moving object.

公开(公告)号：US5554983A

公开(公告)日：1996-09-10

申请号：US51692

申请日：1993-04-23

申请人： Tadaaki Kitamura ,  Yoshiki Kobayashi ,  Kunio Nakanishi ,  Masakazu Yahiro ,  Yoshiyuki Satoh ,  Toshiro Shibata ,  Takeshi Horie ,  Katsuyuki Yamamoto ,  Masao Takatoo ,  Haruki Inoue ,  Kazuyoshi Asada

发明人： Tadaaki Kitamura ,  Yoshiki Kobayashi ,  Kunio Nakanishi ,  Masakazu Yahiro ,  Yoshiyuki Satoh ,  Toshiro Shibata ,  Takeshi Horie ,  Katsuyuki Yamamoto ,  Masao Takatoo ,  Haruki Inoue ,  Kazuyoshi Asada

IPC分类号： G06T7/20 ,  G08G1/04 ,  G08G1/017

CPC分类号： G08G1/04 ,  G06T7/204 ,  G06T2207/10016 ,  G06T2207/30232 ,  G06T2207/30236 ,  G06T2207/30241 ,  G06T2207/30248

摘要： An object recognition system using the image processing in which an area having a unique feature is extracted from an input image of an object, the unique image is registered in a shade template memory circuit as a shade template, the input image is searched for an image similar to the shade template registered by a shade pattern matching circuit, the position of an object is determined for each template, the speed and direction of movement of the object is determined from the positional information, and the results thereof are integrated by a separation/integration circuit, thereby recognizing the whole of the moving object.

摘要翻译： 使用其中从对象的输入图像中提取具有唯一特征的区域的图像处理的对象识别系统，将唯一图像作为阴影模板登记在阴影模板存储电路中，搜索输入图像的图像 类似于由阴影图案匹配电路登记的阴影模板，针对每个模板确定对象的位置，根据位置信息确定对象的移动速度和移动方向，并且其结果通过分离/ 集成电路，从而识别整个移动物体。

公开(公告)号：US5377308A

公开(公告)日：1994-12-27

申请号：US013953

申请日：1993-02-05

申请人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Yoshiyuki Satoh

发明人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Yoshiyuki Satoh

IPC分类号： G05B13/02 ,  G06N5/04 ,  G06N7/04 ,  G06F15/00 ,  G06F9/44

CPC分类号： G06N7/04 ,  G05B13/0295 ,  G06N5/048 ,  Y10S706/90 ,  Y10S706/906 ,  Y10S706/908 ,  Y10S706/91

摘要： A process control system for controlling a process exhibiting both linear behavior and non-linear behavior with a plurality of control quantities has a knowledge base storing therein universal facts, production rules including expert's empirical rules, meta rules describing flows of inferences, algorithm methods by mathematical expressions and membership functions referenced in fuzzy inference and a complex inference mechanism. The complex inference mechanism is composed of a complex fuzzy mechanism for inferring directly predicted values on a multi-dimensional space generated by a plurality of elements for evaluation and predicted control objectives evaluated previously with fuzzy quantities, a predicting fuzzy mechanism having the input supplied with the predicted values for determining arithmetically correlation to the membership functions determined previously with the fuzzy quantities and a satisfaction grade obtained by imparting weight to the correlation for each of the control objectives to thereby determine such a combination of the control quantities for control effectors to vary the operation states thereof from the current operation states that the satisfaction grade becomes maximum, and a main inference mechanism having the input supplied with process data to thereby compare selectively the process data with the knowledge stored in the knowledge base for thereby making decision of the process behavior through a forward fuzzy inference with the aid of the production rules based on the empirical knowledge and manage the whole process control system including the complex fuzzy inference mechanism, the predicting fuzzy inference mechanism and the knowledge base. The system can be advantageously employed for intra-tunnel ventilation control and other processes exhibiting both linear and non-linear behaviors.

摘要翻译： 用于控制具有多个控制量的线性行为和非线性行为的过程的过程控制系统具有在其中存储通用事实的知识库，包括专家经验规则的生产规则，描述推理流的元规则，通过数学的算法方法 模糊推理中引用的表达式和隶属函数以及复杂的推理机制。 复杂推理机制由复杂的模糊机制组成，用于推断由多个元素产生的多维空间上的直接预测值，用于评估以前用模糊量估计的预测控制目标，预测模糊机制具有提供的输入 用于确定与先前用模糊量确定的隶属函数的算术相关性的预测值，以及通过对每个控制目标赋予相关性而获得的满足度等级，从而确定控制效果器的控制量的组合以改变操作 来自当前操作的状态表明满意等级变为最大，并且具有输入的主推理机制提供过程数据，从而选择性地比较过程数据与知识库中存储的知识，从而进行处理行为的决定 借鉴基于实证知识的生产规则，通过前向模糊推理，对包括复杂模糊推理机制，预测模糊推理机制和知识库的整个过程控制系统进行管理。 该系统可以有利地用于隧道内通气控制和呈现线性和非线性行为的其它过程。

公开(公告)号：US5251285A

公开(公告)日：1993-10-05

申请号：US712104

申请日：1991-06-07

申请人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Yoshiyuki Satoh

发明人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Yoshiyuki Satoh

IPC分类号： G05B13/02 ,  G06N5/04 ,  G06N7/04 ,  G06F15/00

CPC分类号： G06N7/04 ,  G05B13/0295 ,  G06N5/048 ,  Y10S706/90 ,  Y10S706/906 ,  Y10S706/908 ,  Y10S706/91

摘要： A prediction control of a process containing a non-linear behavior is effected by predicting a transition of process quantities (control quantities) of an object to be controlled a predetermined time period after the current time to provide predicted values and by determining manipulation quantities of at least a control effector in accordance with a difference between the predicted values and predetermined target values of the controlled object. A quantitative operation is carried out arithmetically identifying a process as a linear behavior, and a fuzzy inference or qualitative operation, including a fuzzy rule based on empirical knowledge, is carried out for simulating a process, wherein for input process information and current manipulation quantities to be maintained, both operations parallelly determine predicted values of control quantities. A process behavior determination is arithmetically carried out to determine whether the process linearly behaves (i.e. the normal state or the state dominant to statistic distribution) or not (i.e. the extreme transition state such as a transient response, or an indeterminate state) from the specified process information on the basis of a process behavior determination rule. As a result, a predicted value acquired by the quantitative operation is selected in response to a determination of a linear behavior, and a predicted value acquired by the fuzzy inference operation is selected in response to a determination of a non-linear behavior.

摘要翻译： 包含非线性行为的处理的预测控制通过预测在当前时间之后的预定时间段内要控制的对象的处理量（控制量）的转变来提供预测值，并且通过确定在 根据控制对象的预测值和预定目标值之间的差异，至少控制效应器。 进行定量操作，将过程作为线性行为进行算术识别，进行模糊推理或定性操作，包括基于经验知识的模糊规则，用于模拟过程，其中对于输入过程信息和当前操作量 维持两个操作并行确定控制量的预测值。 算术过程执行过程行为确定，以确定过程是否从指定的过程线性表现（即，统计分布的正常状态或统计分布的统计状态）（即极端过渡状态，如瞬态响应或不确定状态） 基于过程行为确定规则处理信息。 结果，响应于线性行为的确定来选择通过定量操作获取的预测值，并且响应于非线性行为的确定来选择通过模糊推理操作获取的预测值。

公开(公告)号：US5051932A

公开(公告)日：1991-09-24

申请号：US328520

申请日：1989-03-24

申请人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Yoshiyuki Satoh

发明人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Yoshiyuki Satoh

IPC分类号： G05B13/00 ,  G05B13/02 ,  G06F9/44 ,  G06N5/04 ,  G06N7/04

CPC分类号： G06N7/04 ,  G05B13/0295 ,  G06N5/048 ,  Y10S706/90 ,  Y10S706/906 ,  Y10S707/99935

摘要： A process control system for controlling a process exhibiting both linear behavior and non-linear behavior with a plurality of control quantities has a knowledge base storing therein universal facts, production rules including expert's empirical rules, meta rules describing flows of inferences, algorithm methods by mathematical expressions and membership functions referenced in fuzzy inference and a complex inference mechanism. The complex inference mechanism is composed of a complex fuzzy mechanism for inferring directly predicted values on a multi-dimensional space generated by a plurality of elements for evaluation and predicted control objectives evaluated previously with fuzzy quantities, a predicting fuzzy mechanism having the input supplied with the predicted values for determining arithmetically correlation to the membership functions determined previously with the fuzzy quantities and a satisfaction grade obtained by imparting weight to the correlation for each of the control objectives to thereby determine such a combination of the control quantities for control effectors to vary the operation states thereof from the current operation states that the satisfaction grade becomes maximum, and a main inference mechanism having the input supplied with process data to thereby compare selectively the process data with the knowledge stored in the knowledge base for thereby making decision of the process behavior through a forward fuzzy inference with the aid of the production rules based on the empirical knowledge and manage the whole process control system including the complex fuzzy inference mechanism, the predicting fuzzy inference mechanism and the knowledge base. The system can be advantageously employed for intra-tunnel ventilation control and other processes exhibiting both linear and non-linear behaviors.

摘要翻译： 用于控制具有多个控制量的线性行为和非线性行为的过程的过程控制系统具有在其中存储通用事实的知识库，包括专家的经验规则的生产规则，描述推理流的元规则，通过数学的算法方法 模糊推理中引用的表达式和隶属函数以及复杂的推理机制。 复杂推理机制由复杂的模糊机制组成，用于推断由多个元素产生的多维空间上的直接预测值，用于评估以前用模糊量估计的预测控制目标，预测模糊机制具有提供的输入 用于确定与先前用模糊量确定的隶属函数的算术相关性的预测值，以及通过对每个控制目标赋予相关性而获得的满足度等级，从而确定控制效果器的控制量的组合以改变操作 来自当前操作的状态表明满意等级变为最大，并且具有输入的主推理机制提供过程数据，从而选择性地比较过程数据与知识库中存储的知识，从而进行处理行为的决定 借鉴基于实证知识的生产规则，通过前向模糊推理，对包括复杂模糊推理机制，预测模糊推理机制和知识库的整个过程控制系统进行管理。 该系统可以有利地用于隧道内通气控制和呈现线性和非线性行为的其它过程。

公开(公告)号：US5623580A

公开(公告)日：1997-04-22

申请号：US274016

申请日：1994-07-12

申请人： Haruki Inoue ,  Hiroyuki Ichikawa ,  Hideo Yoshida ,  Yasuhiro Terada ,  Noboru Abe ,  Yoshiyuki Satoh ,  Masakazu Yahiro ,  Akemi Ohtsuki

发明人： Haruki Inoue ,  Hiroyuki Ichikawa ,  Hideo Yoshida ,  Yasuhiro Terada ,  Noboru Abe ,  Yoshiyuki Satoh ,  Masakazu Yahiro ,  Akemi Ohtsuki

IPC分类号： G06F9/44 ,  B65G61/00 ,  G06F19/00 ,  G06N5/04 ,  G06Q10/00 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q50/00 ,  G06Q90/00 ,  G06F15/18

CPC分类号： G06Q10/06

摘要： A planning system for quickly forming the optimum plan for a given planning problem, includes a setting unit for accepting the given planning problem; an optimization unit for creating an objective function which expresses an item intended to be minimized or maximized in the planning problem, and for executing a process which minimizes or maximizes a value of the created objective function; a storage unit for storing therein, at least, constant values which are required for the optimizing process; and a display unit for displaying a processed result of the optimization unit. The optimization unit performs a first function of calculating a difference value between the values of the objective function assumed in a last formed plan and a newly formed plan, and performs a second function of comparing the difference value of the objective function with the constant value set in the storage unit, and then substituting the last formed plan by the newly formed plan and setting the latter as a candidate for an optimum plan, on condition that the difference value of the objective function is smaller than the constant value.

摘要翻译： 一个规划系统能够快速形成一个给定的规划问题的最优方案，其中包括一个用于接受给定规划问题的设置单元; 用于创建表达在计划问题中被最小化或最大化的项目的目标函数的优化单元，以及用于执行最小化或最大化所创建的目标函数的值的过程; 存储单元，用于至少存储优化处理所需的常数值; 以及显示单元，用于显示优化单元的处理结果。 优化单元执行计算最终形成的计划中假设的目标函数的值与新形成的计划之间的差值的第一函数，并且执行将目标函数的差值与常数值集合进行比较的第二函数 在存储单元中，然后通过新形成的计划代替最后形成的计划，并将后者设置为最佳计划的候选，条件是目标函数的差值小于常数值。

公开(公告)号：US5025499A

公开(公告)日：1991-06-18

申请号：US336797

申请日：1989-04-12

申请人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Fumiki Tanaka

发明人： Haruki Inoue ,  Motohisa Funabashi ,  Masakazu Yahiro ,  Fumiki Tanaka

IPC分类号： G05B13/02 ,  G06N7/04

CPC分类号： G06N7/04 ,  G05B13/0275 ,  Y10S706/90 ,  Y10S706/906

摘要： A process control system for controlling actions of a process is provided as a qualitative model to which the fuzzy theory is applied to infer and control the process. The process control system includes differentiation apparatus for determining the amounts of displacement of different process amounts with respect to time, qualitative fuzzy inference apparatus for making inference of qualitative process actions, and centroid arithmetic apparatus for converting the qualitative values of inferred control target process amounts into the appropriate amount of control.

公开(公告)号：US5402519A

公开(公告)日：1995-03-28

申请号：US797534

申请日：1991-11-25

申请人： Haruki Inoue ,  Kenichi Nakamura ,  Keiji Oshima ,  Masakazu Yahiro ,  Minoru Koide ,  Noboru Abe

发明人： Haruki Inoue ,  Kenichi Nakamura ,  Keiji Oshima ,  Masakazu Yahiro ,  Minoru Koide ,  Noboru Abe

IPC分类号： G06N3/04 ,  G06N3/08 ,  G06N7/04 ,  G06F15/18 ,  G06F9/44

CPC分类号： G06N3/08 ,  G06N3/0436 ,  G06N7/046 ,  Y10S706/90

摘要： A neural network system includes a qualitative evaluation section, a neural network section, a quantifying section and a display section. The qualitative evaluation section qualitatively analyzes an unknown data supplied thereto, and normalizes the result of analysis within a predetermined range. The neural network section having a neural network with plural neurons computes the network output data from the normalized unknown data produced by the qualitative evaluation section. Each neuron is connected to plural other neurons through synapses, each of which is assigned an individual weight coefficient. Each neuron is adapted to output an output function value assigned thereto associated with the total sum of the products of the output from the neurons connected thereto and the synapse weight coefficient. The quantifying section quantifies the network output data to produce desired data. The desired data thus produced is displayed on the display section.

摘要翻译： 神经网络系统包括定性评估部分，神经网络部分，量化部分和显示部分。 定性评估部分定性分析提供给它的未知数据，并将分析结果归一化在预定范围内。 具有具有多个神经元的神经网络的神经网络部分从由定性评估部分生成的归一化未知数据计算网络输出数据。 每个神经元通过突触连接到多个其他神经元，每个神经元被分配一个单独的权重系数。 每个神经元适于输出与其相关联的输出函数值，该输出函数值与从其连接的神经元的输出的乘积和突触加权系数的总和相关联。 量化部分量化网络输出数据以产生所需数据。 由此产生的期望数据显示在显示部分上。

公开(公告)号：US09983560B2

公开(公告)日：2018-05-29

申请号：US14352928

申请日：2012-12-11

申请人： Tetsushi Narui ,  Haruki Inoue

发明人： Tetsushi Narui ,  Haruki Inoue

IPC分类号： G05B19/05 ,  G05B19/19 ,  G05B19/416

CPC分类号： G05B19/05 ,  G05B19/19 ,  G05B19/416 ,  G05B2219/42176

摘要： A positioning device and a programmable logic controller (PLC) system including the positioning device are provided. The positioning device includes a computing unit that analyzes a positioning start instruction that includes an operation pattern, a storage unit that stores therein an operation pattern and an analysis result obtained by the computing unit analyzing the operation pattern stored in the storage unit in association with each other, and an instruction generating unit including a processor that, when it is verified that the operation pattern stored in the storage unit corresponds to the operation pattern included in the positioning start instruction, reads the analysis result associated with the operation pattern stored in the storage unit and generates positioning instruction data for positioning a control target by using the read analysis result.

公开(公告)号：US20140249672A1

公开(公告)日：2014-09-04

申请号：US14352928

申请日：2012-12-11

申请人： Tetsushi Narui ,  Haruki Inoue

发明人： Tetsushi Narui ,  Haruki Inoue

IPC分类号： G05B19/05 ,  G05B19/19

CPC分类号： G05B19/05 ,  G05B19/19 ,  G05B19/416 ,  G05B2219/42176

摘要： A positioning device includes a computing unit that analyzes a positioning start instruction that includes an operation pattern; a storage unit that stores therein an operation pattern and an analysis result obtained by the computing unit in association with each other; and an instruction generating unit that, when it is verified that an operation pattern corresponding to an operation pattern included in the positioning start instruction is stored in the storage unit, reads an analysis result associated with the corresponding operation pattern and generates positioning instruction data for positioning a control target by using a read analysis result.

摘要翻译： 定位装置包括计算单元，其分析包括操作模式的定位开始指令; 存储单元，其中存储有由计算单元彼此相关联的操作模式和分析结果; 以及指令生成单元，当确定与存储在存储单元中的包括在定位开始指令中的操作模式相对应的操作模式被确认时，读取与对应的操作模式相关联的分析结果，并生成用于定位的定位指令数据 通过使用读取分析结果来控制目标。