Hitachi, Ltd.

Junzo Kawakami

Yasunori Katayama

Yasuo Morooka

Hiroyuki Kudo

Yutaka Saito

Tadayoshi Saito

Masaaki Nakajima

Susumu Takahashi

Hiroshi Matsumoto

Kenji Baba

Hiroshi Inoue

Seiitsu Nigawara

Masao Takatoo

Mitsuyasu Kido

Minoru Kanoi

Kiyoji Iwashita

Kazuo Nishijima

Hiroaki Ishikawa

Tomio Chiba

Toru Takei

Shigeo Abe

Kouji Tachibana

Yuzuru Imamura

Yoshiki Hirakouchi

Saburou Yasukawa

Tomoharu Nakamura

Hiroshi Takenaga

Takayoshi Yokota

Hiroshi Yokoyama

Masayuki Fukai

Kunio Hirasawa

Nobuhiro Hamada

Tadaaki Kitamura

Masahiro Kayama

Chihiro Fukui

Kazunori Takahashi

Hiroo Konishi

Masahide Nomura

Yasushi Harada

Hironari Kawazoe

Akira Kaji

Makoto Shimoda

Tadao Kawai

Yutaka Kokai

Masao Takato

Chieko Onuma

Nobuyuki Yokokawa

Yoshiaki Matsui

Yukio Tokiwa

Tatsuhito Nakajima

Shigeru Tamura

Ryuji Kiyokawa

Tadayoshi Saitou

Testuo Suehiro

An information processing system comprises a plurality of systems (1, 3, 4, 6) communicating through a transmission path (2) and performing a processing base on their own function. One of the plurality of systems acts as as an supervising system having a supervising function. The supervising system (1, 4) sets a goal for each of the plurality of systems, collects the processing result on each system and evaluates the processing result; and on the basis of the processing result, the supervising system sets a new goal for each system considering a goal of the entire system comprising said plurality of systems.

Information processing system

An electrical power distribution monitoring system is provided for a power distribution line having a plurality of sections with a plurality of electrical loads connected to the power distribution line to form a power distribution network. The monitoring system has at least one sensor for at least one present electrical value at least one point of the network, and estimates electrical values for at least one section of the line in dependence on both of present electrical values measured by the sensor and data relating to past power consumption by loads connected to the line. Improved prediction of actual conditions in the distribution line can be obtained.

Electrical power distribution monitoring system and method

An electrical power distribution monitoring system is provided for a power distribution line having a plurality of sections with a plurality of electrical loads connected to the power distribution line to form a power distribution network. The monitoring system has at least one sensor for at least one present electrical value at at least one point of the network, and estimates electrical values for at least one section of the line in dependence on both of present electrical values measured by the sensor and data relating to past power consumption by loads connected to the line. Improved prediction of actual conditions in the distribution line can be obtained.

In order to control an apparatus, such as a rolling mill, a control device may use a pre-set operation pattern to generate a pre-set command signal, which is then modified. That first modification may be part of a feedback loop in dependence on the variation of a variable operation device of the apparatus, on a plurality of pre-set signals may be combined by fuzzy logic. Then the relationship between the modified pre-set command signal and the variation of the variable operation device is investigated to generate a compensation signal which is used to modify further the pre-set command signal. In a feedback loop, that further modification may compensate for changes in the operating point of the loop, due to changes in the apparatus being controlled. In a fuzzy logic arrangement, the compensation signal may be a further control pattern developed by the control device itself, which is combined with the pre-set patterns by fuzzy logic. The control device may be in the form of a series of modules.

Control device for controlling a controlled apparatus, and a control

Power distribution control system

In a control system equipped with a plurality of subsystems and a supervising subsystem for supervising these subsystems, a subgoal achievement performance is calculated by the subsystem using its own knowledge and its own condition with respect to a subgoal defined by the supervising subsystem, and the supervising subsystem controls a control system by utilizing the knowledge and conditions of the respective subsystems by applying a subgoal execution instruction to the subsystem based upon the calculation result. Since not only the knowledge but also the condition of the subsystems, proper controls can be realized in not only such a case that the supervising goal is directed to a static temporal aspect, but also such a case that the supervising goal contains a temporal element.

Distributed control system

In a neural network having neurons connected in a multi-layer, firstly, input signal sets are sequentially entered to statistically process the outputs of hidden neurons and determine the optimum number of hidden neurons. Secondly, while changing the input signal entered to each input neuron to the maximum change limit, the change of output values of the other input neurons are checked to thereby determine an unnecessary input neuron. Thirdly, the weights between input neurons and hidden neurons are set to be in correspondence with a hyperplane to enable pattern recognition.

Apparatus for configuring neural network and pattern recognition

In order to control an apparatus, such as a rolling mill, a control device may use a pre-set operation pattern to generate a pre-set command signal, which is then modified. That first modification may be part of a feedback loop in set command signal, which is then modified. That first modification may be part of a feedback loop in logic. Then the relationship between the modified pre-set command signal and the variation of the variable operation device is investigated to generate a compensation signal which is used to modify further the pre-set command signal. In a feedback loop, that further modification may compensate for changes in the operating point of the loop, due to changes in the apparatus being controlled. In a fuzzy logic arrangement, the compensation signal may be a further control pattern developed by the control device itself, which is combined with the pre-set patterns by fuzzy logic. The control device may be in the form of a series of modules.

In a data processing apparatus employing a neurocomputer suitable for obtaining an optimum combination problem, a weight is determined based upon a relative relationship between a constraint condition and an evaluation function, and it is so arranged as to obtain a solution having low energy with respect to a solution obtained from an energy function with employment of this determined weight by increasing a diagonal element of the energy function. It is possible to give a minimum value or a solution near this minimum value at a high speed with regard to any problems.

Data processing apparatus for obtaining optimum combination solution and

In order to control an apparatus, such as a rolling mill, a control device may use a pre-set operation pattern to generate a preset command signal, which is then modified. That first modification may be part of a feedback loop in dependence on the variation of a variable operation device of the apparatus, on a plurality of pre-set signals may be combined by fuzzy logic. Then the relationship between the modified pre-set command signal and the variation of the variable operation device is investigated to generate a compensation signal which is used to modify further the pre-set command signal. In a feedback loop, that further modification may compensate for changes in the operating point of the loop, due to changes in the apparatus being controlled. In a fuzzy logic arrangement, the compensation signal may be a further control pattern developed by the control device itself, which is combined with the pre-set patterns by fuzzy logic. The control device may be in the form of a series of modules.

An AC system having, for example, a voltage source, an inductance and a load has connected thereto an apparatus for controlling the phase and amplitude of the voltage of the system. The instantaneous current and voltage in the AC electrical system are measured and power measurements derived therefrom. The power measurements may be instantaneous real and imaginary power, instantaneous active and reactive power, or active and reactive power averaged over less than one cycle. The power measurements are then used to derive phase related control values, on the basis of which control signals are generated to a converter. The action of the converter in accordance with the control signals thus controls the amplitude and phase of the voltage. By use of power measurements, it is not necessary to measure the phase of the voltage of the AC system.

Method and apparatus for controlling the output voltage of an AC

A control method for a moving body and facilities is comprised of steps of measuring and recognizing at least one of the states such as the number of a moving body, moving speed and moving direction, and changing the state of facilities which is a goal of the moving body based on the result of the measurement/recognition, or displaying the state of the facility. A control apparatus for a moving body and facilities is comprised of a measuring unit for measuring at least one of the states such as the number of a moving body, moving speed, and moving direction, a memory unit for storing information on the condition of a local area in which the moving body is moving or on the facilities said moving body is heading for; an arithmetic unit for processing information from the measurement unit and memory unit; and an input/output unit for accessing information processed by the arithmetic unit, and displaying the information.

Method and apparatus for controlling moving body and facilities

A state diagnostic system for equipment is disclosed. The system is constructed of a neural network model for learning in advance one or more samples of information on vibrations, which are produced in a specific operation state of the equipment, in association with the corresponding operation state and obtaining an output signal corresponding to results of the learning when information on vibrations produced upon operation of the equipment is inputted; an input unit for inputting to the neural network model the information on the vibrations produced upon operation of the equipment; and an output unit for outputting the output signal from the neural network model as diagnostic results to a user. State diagnostic methods, learning system, preview/predict system, diagnosis training system, service life estimation assisting system, service life estimation assisting system, and maintenance assisting system are also disclosed.

Neural network state diagnostic system for equipment

In order to control a voltage using e.g. a tap transformer, the difference .DELTA.V between the actual voltage and a reference voltage is obtained and integrated over time. That integral is then modified by at least one parameter generated by fuzzy logic from control conditions of the voltage. In this way the fuzzy logic may find the optimum control strategy which keeps the actual voltage closest to the reference voltage without an excessive number of tap position changes. The reference voltage may vary with time, and therefore the control of the voltage with time may be evaluated, and the control conditions varied accordingly, e.g. by fuzzy logic, so that the control arrangement can exhibit learning. Normally, the integral is modified such that

Voltage or reactive power control method and control device therefor

Analog signals are sampled and converted into digital data which is then filtered by a digital filter. The filtered digital data is then subjected to an arithmetic operation. The blocking band of the digital filter is set to a frequency band which is above the pass band of the analog signal components. Frequency of sampling, as well as the frequency of noise caused by the sampling, is elevated, so that the noise frequency falls within the blocking band of the digital filter.

Digital signal processing method and system, electric power system

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Mito, Japan

Junzo Kawakami