Apparatus and method for controlling physical system

A physical system and control physics technology, applied in general control systems, control/regulation systems, nuclear methods, etc., can solve problems such as high cost of control parameter values, errors, and complex relationships

Pending Publication Date: 2022-03-29
ROBERT BOSCH GMBH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] In controlling a process, such as the control of a facility for producing a product or processing a workpiece or a mobile robot, the relationship between the control configuration (that is, the value of a control parameter) and the result derived from the value of an observable output parameter can be very complicated
Furthermore, this evaluation of control parameter values ​​can be costly and error-prone

Method used

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  • Apparatus and method for controlling physical system
  • Apparatus and method for controlling physical system
  • Apparatus and method for controlling physical system

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Embodiment Construction

[0032] The different embodiments, in particular the embodiments described hereinafter, may be realized by means of one or more circuits. In one embodiment, a "circuit" may be understood as any type of logic implementing entity, which may be hardware, software, firmware, or a combination thereof. Thus, in one embodiment, a "circuit" may be a hardwired logic circuit or a programmable logic circuit, such as a programmable processor, eg a microprocessor. "Circuit" may also be software, such as any type of computer program, implemented or implemented by a processor. According to an alternative embodiment, any other type of implementation of the corresponding functions, which are described in more detail below, may be understood as a "circuit".

[0033] figure 1 A robot 100 is shown.

[0034]The robot 100 comprises a robot arm 101 (typically a robot element), such as an industrial robot arm for moving, mounting or machining workpieces. The robot arm 101 has robot links 102 , 103...

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Abstract

An apparatus and method for controlling a physical system. According to various embodiments, a method for controlling a physical system is described, the method having: training a neural network for a plurality of tasks to output a result of the executed task in response to an input of a control configuration of the physical system and an input of a value of a task input parameter, respectively; determining a control configuration for another task by means of Bayesian optimization, wherein the neural network parameterized by the task input parameters is used as a model of the relationship between the control configuration and the result; and controlling the physical system to perform the other task in accordance with the control configuration.

Description

technical field [0001] The various embodiments relate generally to apparatus and methods for controlling physical systems. Background technique [0002] In controlling a process, such as the control of a facility for producing a product or processing a workpiece or a mobile robot, the relationship between the control configuration (that is, the value of a control parameter) and the result derived from the value of an observable output parameter Can be very complicated. Furthermore, such an evaluation of the control parameter values ​​can be expensive and error-prone. Bayesian optimization (BO) is suitable in this case for determining the control parameter values ​​because it allows when only possible to perform noisy These unknown functions are optimized during the evaluation of disturbances. [0003] In order to keep the number of iterations required for optimizing an unknown function as low as possible, knowledge transfer from previous optimizations of similar unknown f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04G06N3/04G06N3/08G06N7/00
CPCG05B13/042G06N3/08G06N3/047G06N7/01G06N20/10G05B13/027B25J9/163G06N3/045B25J9/161B25J9/1661G06N20/00G06F18/24155
Inventor F·伯肯坎普J·斯皮茨K·斯库布奇L·格罗斯伯格S·法尔科纳A·埃瓦齐
Owner ROBERT BOSCH GMBH
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