JP6513015B2 - 機械の動作を制御する方法、および機械の動作を反復的に制御する制御システム - Google Patents

機械の動作を制御する方法、および機械の動作を反復的に制御する制御システム Download PDF

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JP6513015B2
JP6513015B2 JP2015218271A JP2015218271A JP6513015B2 JP 6513015 B2 JP6513015 B2 JP 6513015B2 JP 2015218271 A JP2015218271 A JP 2015218271A JP 2015218271 A JP2015218271 A JP 2015218271A JP 6513015 B2 JP6513015 B2 JP 6513015B2
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ステファノ・ディ・カイラノ
アビシャイ・ワイス
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    • 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

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JP2015218271A 2014-11-25 2015-11-06 機械の動作を制御する方法、および機械の動作を反復的に制御する制御システム Active JP6513015B2 (ja)

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US14/552,788 US9983554B2 (en) 2014-11-25 2014-11-25 Model predictive control with uncertainties

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Families Citing this family (38)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9625196B2 (en) * 2014-06-09 2017-04-18 Mitsubishi Electric Research Laboratories, Inc. System and method for controlling of vapor compression system
US9764858B2 (en) * 2015-01-07 2017-09-19 Mitsubishi Electric Research Laboratories, Inc. Model predictive control of spacecraft
EP3051367B1 (en) * 2015-01-28 2020-11-25 Honeywell spol s.r.o. An approach and system for handling constraints for measured disturbances with uncertain preview
US10023300B2 (en) * 2015-06-05 2018-07-17 University Of North Dakota Systems and methods for intelligent attitude determination and control
US20160378078A1 (en) * 2015-06-29 2016-12-29 Steffen Lamparter Triggering an Auto-Tuning Function of a PID Controller
US10235818B2 (en) * 2016-05-13 2019-03-19 Ford Global Technologies, Llc Adaptive vehicle control
US10309059B2 (en) * 2016-09-23 2019-06-04 Honeywell International Inc. Method of designing model predictive control for cross directional flat sheet manufacturing processes to guarantee temporal robust stability and performance
DE102016224207A1 (de) 2016-12-06 2018-06-07 Siemens Aktiengesellschaft Verfahren und Steuereinrichtung zum Steuern eines technischen Systems
US20180275621A1 (en) 2017-03-24 2018-09-27 Mitsubishi Electric Research Laboratories, Inc. Model Predictive Control with Uncertainties
EP3404497B1 (en) * 2017-05-15 2021-11-10 Siemens Aktiengesellschaft A method and system for providing an optimized control of a complex dynamical system
US10732586B2 (en) * 2017-07-12 2020-08-04 X Development Llc Active disturbance compensation for physically changing systems
US20190056702A1 (en) * 2017-08-21 2019-02-21 General Electric Company Model-based machine learing control system and method for tuning power production emissions
CN111279050B (zh) 2017-09-11 2023-01-17 吉奥奎斯特系统公司 井规划系统
US10613490B2 (en) 2018-02-05 2020-04-07 Mitsubishi Electric Research Laboratories, Inc. Method and apparatus for preconditioned predictive control
US10860002B2 (en) * 2018-03-19 2020-12-08 Mitsubishi Electric Research Laboratories, Inc. Receding horizon reference governor
US10619879B2 (en) * 2018-03-21 2020-04-14 Mitsubishi Electric Research Laboratories, Inc. System and method for controlling operations of air-conditioning system
DE102018109785A1 (de) * 2018-04-24 2019-10-24 Vaillant Gmbh Prädiktive Regelung einer Wärmepumpe
US11321504B2 (en) * 2018-05-09 2022-05-03 Palo Alto Research Center Incorporated Learning constitutive equations of physical components with constraints discovery
US11106189B2 (en) * 2019-03-06 2021-08-31 Mitsubishi Electric Research Laboratories, Inc. System and method for data-driven control of constrained system
US10996639B2 (en) * 2019-03-11 2021-05-04 Mitsubishi Electric Research Laboratories, Inc. Model predictive control of systems with continuous and discrete elements of operations
WO2020188336A1 (en) 2019-03-15 2020-09-24 3M Innovative Properties Company Manufacturing a product using causal models
CN119623613A (zh) 2019-03-15 2025-03-14 3M创新有限公司 使用因果模型抛光半导体晶圆
JP2022526260A (ja) 2019-03-15 2022-05-24 スリーエム イノベイティブ プロパティズ カンパニー 因果モデルを使用した生物学的医薬品の製造
EP3938969A1 (en) 2019-03-15 2022-01-19 3M Innovative Properties Company Determining causal models for controlling environments
US11366697B2 (en) * 2019-05-01 2022-06-21 EMC IP Holding Company LLC Adaptive controller for online adaptation of resource allocation policies for iterative workloads using reinforcement learning
US11586474B2 (en) 2019-06-28 2023-02-21 EMC IP Holding Company LLC Adaptation of resource allocation for multiple workloads using interference effect of resource allocation of additional workloads on performance
US11676064B2 (en) * 2019-08-16 2023-06-13 Mitsubishi Electric Research Laboratories, Inc. Constraint adaptor for reinforcement learning control
US11327801B2 (en) 2019-08-29 2022-05-10 EMC IP Holding Company LLC Initialization of resource allocation for a workload characterized using a regression model
KR102231799B1 (ko) * 2019-10-11 2021-03-23 서울대학교산학협력단 안정화된 비선형 최적 제어 방법
US11868810B2 (en) 2019-11-15 2024-01-09 EMC IP Holding Company LLC Resource adaptation using nonlinear relationship between system performance metric and resource usage
EP3822999B1 (en) * 2019-11-15 2023-10-04 Hitachi Energy Switzerland AG Circuit breaking apparatus
JP7288868B2 (ja) * 2020-01-31 2023-06-08 株式会社日立製作所 モデル更新装置及び方法並びにプロセス制御システム
EP3904972B1 (de) 2020-04-28 2023-09-06 Siemens Aktiengesellschaft Verfahren und regeleinrichtung zum regeln eines technischen systems
US11334085B2 (en) * 2020-05-22 2022-05-17 The Regents Of The University Of California Method to optimize robot motion planning using deep learning
US12246699B2 (en) * 2020-06-26 2025-03-11 Mitsubishi Electric Research Laboratories, Inc. System and method for data-driven reference generation
EP4016404A1 (en) * 2020-12-16 2022-06-22 Fujitsu Limited Method and apparatus for generating a control signal to control a device in accordance with a constrained hierarchy
US12038727B2 (en) * 2021-03-29 2024-07-16 Mitsubishi Electric Research Laboratories, Inc. System for performing a task according to a reference trajectory
CN115835253B (zh) * 2022-11-30 2025-08-22 西安电子科技大学 一种任务关键型控制系统的最优控制感知传输方法

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5659667A (en) 1995-01-17 1997-08-19 The Regents Of The University Of California Office Of Technology Transfer Adaptive model predictive process control using neural networks
US6826521B1 (en) 2000-04-06 2004-11-30 Abb Automation Inc. System and methodology and adaptive, linear model predictive control based on rigorous, nonlinear process model
US7797062B2 (en) * 2001-08-10 2010-09-14 Rockwell Automation Technologies, Inc. System and method for dynamic multi-objective optimization of machine selection, integration and utilization
US7328074B2 (en) * 2002-12-02 2008-02-05 United Technologies Corporation Real-time quadratic programming for control of dynamical systems
US6882889B2 (en) 2002-12-02 2005-04-19 United Technologies Corporation Constrained dynamic inversion control algorithm
US7317953B2 (en) 2003-12-03 2008-01-08 Fisher-Rosemount Systems, Inc. Adaptive multivariable process controller using model switching and attribute interpolation
WO2006021125A1 (en) 2004-08-27 2006-03-02 Eidgenössische Technische Hochschule Zürich System for controlling hydroelectric power plants
EP1881786B1 (en) 2005-05-13 2017-11-15 Trustees of Boston University Fully automated control system for type 1 diabetes
US7447554B2 (en) 2005-08-26 2008-11-04 Cutler Technology Corporation Adaptive multivariable MPC controller
US20070055392A1 (en) 2005-09-06 2007-03-08 D Amato Fernando J Method and system for model predictive control of a power plant
US7599751B2 (en) 2006-10-13 2009-10-06 Cutler Technology Corporation Adaptive multivariable MPC controller with LP constraints
US8126575B2 (en) 2008-03-26 2012-02-28 Fakhruddin T Attarwala Universal model predictive controller
US8032236B2 (en) 2008-09-30 2011-10-04 Rockwell Automation Technologies, Inc. Asymetrical process parameter control system and method
US20110016610A1 (en) 2009-07-27 2011-01-27 Steven Wieder Sweatband with absorbent bamboo inner layer and related method of use
JP5569079B2 (ja) * 2010-03-24 2014-08-13 Jfeスチール株式会社 オンラインモデル同定を用いたモデル予測制御方法および装置
US8595162B2 (en) * 2011-08-22 2013-11-26 King Fahd University Of Petroleum And Minerals Robust controller for nonlinear MIMO systems

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