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Predictive the measuring system, the actuator control system and apparatus for the operation of the predictive measuring system and / or of the actuator control system

机译:预测测量系统,执行器控制系统和用于预测测量系统和/或执行器控制系统的操作的设备

摘要

The system, in particular a predictive measuring system (23) comprising a deep neural network for determining at least a future output variable (ỹt + 1) as a function of at least one current input variable (xt) is arranged, comprising: – two at least indirectly, in particular directly, series-connected modules (24, 25) and a detection unit (210), wherein said acquisition unit (210) is adapted to the current input variable (xt) and to determine the current input variable (xt) on at least one of the modules (24, 25) to transmit and wherein the modules (24, 25) for determining the future output variable (ỹt + 1) as a function of the current input variable (xt) and as a function of a preceding intermediate variable (mt - 1) are arranged, wherein at least one of these two modules (24, 25) a recurrent module (25), and the recursive module (25) is arranged to perform a current intermediate variable (mt) as a function of a current inner input variable (zt) of the recurrent module (25) and as a function of the preceding intermediate variable (mt - 1) to be determined, wherein – the preceding intermediate variable (mt - 1) as a function of a preceding input variable (xt - 1) of the system by means of the recurrent module (25) of the system has been determined.
机译:布置了该系统,特别是预测测量系统(23),该系统包括一个深度神经网络,用于根据至少一个当前输入变量(xt)确定至少一个未来输出变量(variablet + 1),包括:–两个至少间接,特别是直接地,串联连接的模块(24、25)和检测单元(210),其中,所述获取单元(210)适合于当前输入变量(xt)并确定当前输入变量( xt)在至少一个要传输的模块(24、25)上,其中模块(24、25)用于根据当前输入变量(xt)和a来确定将来的输出变量(ỹt+1)。布置了先前的中间变量(mt-1)的功能,其中,这两个模块(24、25)中的至少一个是递归模块(25),并且递归模块(25)被布置为执行当前的中间变量(mt)。 mt)取决于递归模块(25)的当前内部输入变量(zt)和待确定的前一个中间变量(mt-1)的函数,其中–前一中间变量(mt-1)通过循环模块(25)作为系统的前一个输入变量(xt-1)的函数)的系统已确定。

著录项

  • 公开/公告号DE202017105656U1

    专利类型

  • 公开/公告日2017-10-10

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号DE201720105656U

  • 发明设计人

    申请日2017-09-19

  • 分类号G06N3/04;G05B13/02;G05B17/02;G06F17/10;

  • 国家 DE

  • 入库时间 2022-08-21 13:21:34

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