DE102021210774A1 - System, Vorrichtung und Verfahren zum Steuern eines physikalischen oder chemischen Prozesses - Google Patents
System, Vorrichtung und Verfahren zum Steuern eines physikalischen oder chemischen Prozesses Download PDFInfo
- Publication number
- DE102021210774A1 DE102021210774A1 DE102021210774.5A DE102021210774A DE102021210774A1 DE 102021210774 A1 DE102021210774 A1 DE 102021210774A1 DE 102021210774 A DE102021210774 A DE 102021210774A DE 102021210774 A1 DE102021210774 A1 DE 102021210774A1
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Program-control systems
- G05B19/02—Program-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Program-controlled manipulators
- B25J9/16—Program controls
- B25J9/1628—Program controls characterised by the control loop
- B25J9/163—Program controls characterised by the control loop learning, adaptive, model based, rule based expert control
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Automation & Control Theory (AREA)
- Manufacturing & Machinery (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Theoretical Computer Science (AREA)
- Robotics (AREA)
- Quality & Reliability (AREA)
- Mechanical Engineering (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Feedback Control In General (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102021210774.5A DE102021210774A1 (de) | 2021-09-27 | 2021-09-27 | System, Vorrichtung und Verfahren zum Steuern eines physikalischen oder chemischen Prozesses |
| US17/950,542 US12366851B2 (en) | 2021-09-27 | 2022-09-22 | System, device, and method for controlling a physical or chemical process |
| CN202211171179.8A CN115877799A (zh) | 2021-09-27 | 2022-09-26 | 用于控制物理或化学过程的系统、设备和方法 |
| JP2022152669A JP2023048151A (ja) | 2021-09-27 | 2022-09-26 | 物理的なプロセス又は化学的なプロセスを制御するためのシステム、装置及び方法 |
| KR1020220122165A KR20230044969A (ko) | 2021-09-27 | 2022-09-27 | 물리적 또는 화학적 공정을 제어하기 위한 시스템, 장치 및 방법 |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102021210774.5A DE102021210774A1 (de) | 2021-09-27 | 2021-09-27 | System, Vorrichtung und Verfahren zum Steuern eines physikalischen oder chemischen Prozesses |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| DE102021210774A1 true DE102021210774A1 (de) | 2023-03-30 |
Family
ID=85476933
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| DE102021210774.5A Pending DE102021210774A1 (de) | 2021-09-27 | 2021-09-27 | System, Vorrichtung und Verfahren zum Steuern eines physikalischen oder chemischen Prozesses |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12366851B2 (https=) |
| JP (1) | JP2023048151A (https=) |
| KR (1) | KR20230044969A (https=) |
| CN (1) | CN115877799A (https=) |
| DE (1) | DE102021210774A1 (https=) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102023208510A1 (de) * | 2023-09-04 | 2025-03-06 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verfahren zum Konfigurieren eines zu konfigurierenden technischen Systems |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20210021147A (ko) * | 2013-05-30 | 2021-02-24 | 프레지던트 앤드 펠로우즈 오브 하바드 칼리지 | 베이지안 최적화를 수행하기 위한 시스템 및 방법 |
| US20180349158A1 (en) * | 2017-03-22 | 2018-12-06 | Kevin Swersky | Bayesian optimization techniques and applications |
| DE102018201411A1 (de) * | 2018-01-30 | 2019-08-01 | Robert Bosch Gmbh | Verfahren zum Ermitteln eines zeitlichen Verlaufs einer Messgröße, Prognosesystem, Aktorsteuerungssystem, Verfahren zum Trainieren des Aktorsteuerungssystems,Trainingssystem, Computerprogramm und maschinenlesbares Speichermedium |
| EP3716160B1 (en) * | 2019-03-26 | 2024-07-31 | Robert Bosch GmbH | Learning parameters of a probabilistic model comprising gaussian processes |
| US20200327435A1 (en) * | 2019-04-12 | 2020-10-15 | General Electric Company | Systems and methods for sequential power system model parameter estimation |
| DE102023208510A1 (de) * | 2023-09-04 | 2025-03-06 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verfahren zum Konfigurieren eines zu konfigurierenden technischen Systems |
-
2021
- 2021-09-27 DE DE102021210774.5A patent/DE102021210774A1/de active Pending
-
2022
- 2022-09-22 US US17/950,542 patent/US12366851B2/en active Active
- 2022-09-26 CN CN202211171179.8A patent/CN115877799A/zh active Pending
- 2022-09-26 JP JP2022152669A patent/JP2023048151A/ja active Pending
- 2022-09-27 KR KR1020220122165A patent/KR20230044969A/ko active Pending
Non-Patent Citations (4)
| Title |
|---|
| Karbalayghareh A., Qian X., Dougherty E.R.: Optimal Bayesian Transfer Learning. In: IEEE Transactions on Signal Processing, 2018, 3724-3739. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8362683&tag=1 [abgerufen am 17.05.2022] |
| Shilton A., Gupta S., Rana S., Venkatesh S.: Regret Bounds for Transfer Learning in Bayesian Optimisation. In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017, 1-9. http://proceedings.mlr.press/v54/shilton17a/shilton17a.pdf [abgerufen am 17.05.2022] |
| Skolidis G.: Transfer learning with Gaussian Processes. In: Doktorarbeit, Universität Edinburgh, 2012, 1-201. https://era.ed.ac.uk/bitstream/handle/1842/6271/Skolidis2012.pdf?sequence=2&isAllowed=y [abgerufen am 17.05.2022] |
| Xu Z., Kersting K.: Multi-Task Learning with Task Relations. In: 11th IEEE International Conference on Data Mining, 2011, 884-893. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6137293 [abgerufen am 17.05.2022] |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102023208510A1 (de) * | 2023-09-04 | 2025-03-06 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verfahren zum Konfigurieren eines zu konfigurierenden technischen Systems |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115877799A (zh) | 2023-03-31 |
| KR20230044969A (ko) | 2023-04-04 |
| US20230097371A1 (en) | 2023-03-30 |
| US12366851B2 (en) | 2025-07-22 |
| JP2023048151A (ja) | 2023-04-06 |
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