EP4248280A4 - SYSTEMS AND METHODS FOR PREDICTIVE CONTROL WITH OFFLINE GAINS LEARNING AND ONLINE CONTROL - Google Patents

SYSTEMS AND METHODS FOR PREDICTIVE CONTROL WITH OFFLINE GAINS LEARNING AND ONLINE CONTROL Download PDF

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Publication number
EP4248280A4
EP4248280A4 EP21894116.9A EP21894116A EP4248280A4 EP 4248280 A4 EP4248280 A4 EP 4248280A4 EP 21894116 A EP21894116 A EP 21894116A EP 4248280 A4 EP4248280 A4 EP 4248280A4
Authority
EP
European Patent Office
Prior art keywords
control
offline
gains
learning
systems
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21894116.9A
Other languages
German (de)
French (fr)
Other versions
EP4248280A1 (en
Inventor
Elhanan Ilani
Nadav Cohen
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Imubit Israel Ltd
Original Assignee
Imubit Israel Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/950,643 external-priority patent/US12045022B2/en
Application filed by Imubit Israel Ltd filed Critical Imubit Israel Ltd
Publication of EP4248280A1 publication Critical patent/EP4248280A1/en
Publication of EP4248280A4 publication Critical patent/EP4248280A4/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive 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
    • G05B13/027Adaptive 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 using neural networks only
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive 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
    • G05B13/042Adaptive 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive 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
    • G05B13/048Adaptive 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 using a predictor
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Program-control systems
    • G05B19/02Program-control systems electric
    • G05B19/418Total 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]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0499Feedforward networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10BDESTRUCTIVE DISTILLATION OF CARBONACEOUS MATERIALS FOR PRODUCTION OF GAS, COKE, TAR, OR SIMILAR MATERIALS
    • C10B55/00Coking mineral oils, bitumen, tar, and the like or mixtures thereof with solid carbonaceous material
    • CCHEMISTRY; METALLURGY
    • C10PETROLEUM, GAS OR COKE INDUSTRIES; TECHNICAL GASES CONTAINING CARBON MONOXIDE; FUELS; LUBRICANTS; PEAT
    • C10GCRACKING HYDROCARBON OILS; PRODUCTION OF LIQUID HYDROCARBON MIXTURES, e.g. BY DESTRUCTIVE HYDROGENATION, OLIGOMERISATION, POLYMERISATION; RECOVERY OF HYDROCARBON OILS FROM OIL-SHALE, OIL-SAND, OR GASES; REFINING MIXTURES MAINLY CONSISTING OF HYDROCARBONS; REFORMING OF NAPHTHA; MINERAL WAXES
    • C10G9/00Thermal non-catalytic cracking, in the absence of hydrogen, of hydrocarbon oils
    • C10G9/005Coking (in order to produce liquid products mainly)

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Quality & Reliability (AREA)
  • Manufacturing & Machinery (AREA)
  • Feedback Control In General (AREA)
EP21894116.9A 2020-11-17 2021-08-11 SYSTEMS AND METHODS FOR PREDICTIVE CONTROL WITH OFFLINE GAINS LEARNING AND ONLINE CONTROL Pending EP4248280A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/950,643 US12045022B2 (en) 2018-01-30 2020-11-17 Predictive control systems and methods with offline gains learning and online control
PCT/IB2021/057421 WO2022106917A1 (en) 2020-11-17 2021-08-11 Predictive control systems and methods with offline gains learning and online control

Publications (2)

Publication Number Publication Date
EP4248280A1 EP4248280A1 (en) 2023-09-27
EP4248280A4 true EP4248280A4 (en) 2024-10-09

Family

ID=81708454

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21894116.9A Pending EP4248280A4 (en) 2020-11-17 2021-08-11 SYSTEMS AND METHODS FOR PREDICTIVE CONTROL WITH OFFLINE GAINS LEARNING AND ONLINE CONTROL

Country Status (2)

Country Link
EP (1) EP4248280A4 (en)
WO (1) WO2022106917A1 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116116181B (en) * 2023-04-18 2023-07-18 科扬环境科技有限责任公司 Model optimization-based waste gas and wastewater treatment method and device
US12599848B2 (en) 2024-06-03 2026-04-14 Marathon Petroleum Company Lp Systems, analyzers, controllers, and associated methods to enhance fluid separation for distillation operations
WO2025255047A1 (en) * 2024-06-03 2025-12-11 Marathon Petroleum Company Lp Systems, analyzers, controllers, and associated methods of operating a resid destruction unit
CN120779756B (en) * 2025-09-05 2026-01-23 中控技术股份有限公司 Adaptive deep learning predictive control method and device suitable for process industry

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150185717A1 (en) * 2004-02-19 2015-07-02 Rockwell Automation Technologies, Inc. Parametric universal nonlinear dynamics approximator and use
US20190236447A1 (en) * 2018-01-30 2019-08-01 Imubit Israel Ltd. Controller training based on historical data
US20200311547A1 (en) * 2018-01-30 2020-10-01 Imubit Israel Ltd Systems and methods for optimizing refinery coker process

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9926852B2 (en) * 2015-03-03 2018-03-27 General Electric Company Methods and systems for enhancing control of power plant generating units

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150185717A1 (en) * 2004-02-19 2015-07-02 Rockwell Automation Technologies, Inc. Parametric universal nonlinear dynamics approximator and use
US20190236447A1 (en) * 2018-01-30 2019-08-01 Imubit Israel Ltd. Controller training based on historical data
US20200311547A1 (en) * 2018-01-30 2020-10-01 Imubit Israel Ltd Systems and methods for optimizing refinery coker process

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"Wave Motion, Intelligent Structures and Nonlinear Mechanics", vol. 1, 1 June 1995, WORLD SCIENTIFIC, ISSN: 1793-0715, article GURAN ARDÉSHIR ET AL: "ON NEURAL NETWORKS IN IDENTIFICATION AND CONTROL OF DYNAMIC SYSTEMS", pages: 194 - 225, XP093200324, DOI: 10.1142/9789812796455_0007 *
JADLOVSKÁ ANNA ET AL: "Predictive Control Design Based on Neural Model of a Non-linear System", 31 December 2008 (2008-12-31), XP093200317, Retrieved from the Internet <URL:https://acta.uni-obuda.hu/Jadlovska_Kabakov_Sarnovsky_16.pdf> *
See also references of WO2022106917A1 *

Also Published As

Publication number Publication date
WO2022106917A1 (en) 2022-05-27
EP4248280A1 (en) 2023-09-27

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