NZ587705A - Method for the computer-assisted learning of control and/or regulation of a technical system - Google Patents

Method for the computer-assisted learning of control and/or regulation of a technical system

Info

Publication number
NZ587705A
NZ587705A NZ587705A NZ58770510A NZ587705A NZ 587705 A NZ587705 A NZ 587705A NZ 587705 A NZ587705 A NZ 587705A NZ 58770510 A NZ58770510 A NZ 58770510A NZ 587705 A NZ587705 A NZ 587705A
Authority
NZ
New Zealand
Prior art keywords
action
state
technical system
quality function
selecting rule
Prior art date
Application number
NZ587705A
Other languages
English (en)
Inventor
Alexander Hans
Steffen Udluft
Original Assignee
Siemens Ag
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
Application filed by Siemens Ag filed Critical Siemens Ag
Publication of NZ587705A publication Critical patent/NZ587705A/en

Links

Classifications

    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Machine Translation (AREA)
NZ587705A 2009-09-09 2010-08-31 Method for the computer-assisted learning of control and/or regulation of a technical system NZ587705A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102009040770 2009-09-09

Publications (1)

Publication Number Publication Date
NZ587705A true NZ587705A (en) 2011-11-25

Family

ID=43216336

Family Applications (1)

Application Number Title Priority Date Filing Date
NZ587705A NZ587705A (en) 2009-09-09 2010-08-31 Method for the computer-assisted learning of control and/or regulation of a technical system

Country Status (6)

Country Link
US (1) US8380646B2 (enExample)
EP (1) EP2296062B1 (enExample)
JP (1) JP5737890B2 (enExample)
CN (1) CN102023570B (enExample)
CA (1) CA2714619C (enExample)
NZ (1) NZ587705A (enExample)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102008020380B4 (de) * 2008-04-23 2010-04-08 Siemens Aktiengesellschaft Verfahren zum rechnergestützten Lernen einer Steuerung und/oder Regelung eines technischen Systems
US20110100004A1 (en) * 2009-10-30 2011-05-05 Wael Faisal Al-Mazeedi Adaptive control of a concentrated solar power-enabled power plant
US9489619B2 (en) * 2010-12-10 2016-11-08 Siemens Aktiengesellschaft Method for the computer-assisted modeling of a technical system
CN103362734B (zh) * 2012-03-30 2015-10-28 北京能高自动化技术股份有限公司 变速变桨风力发电机组基于传动摩擦阻尼补偿的最大功率追踪控制方法
CN103362736B (zh) * 2012-04-05 2015-09-02 北京能高自动化技术股份有限公司 变速变桨风力发电机组基于内模控制的最大功率追踪控制方法
CN103362738B (zh) * 2012-04-11 2016-03-30 北京能高自动化技术股份有限公司 变速变桨风力发电机组基于前馈解耦控制的最大功率追踪控制方法
JP5908350B2 (ja) * 2012-06-21 2016-04-26 本田技研工業株式会社 行動制御システム
US9218233B2 (en) 2012-07-24 2015-12-22 Paul Venditti Systems and methods for control reliability operations
US9043263B2 (en) 2012-07-24 2015-05-26 General Electric Company Systems and methods for control reliability operations using TMR
US9665090B2 (en) 2012-07-24 2017-05-30 General Electric Company Systems and methods for rule-based control system reliability
US9201113B2 (en) 2012-12-17 2015-12-01 General Electric Company Systems and methods for performing redundancy tests on turbine controls
CN105074586A (zh) * 2013-03-26 2015-11-18 西门子公司 用于计算机辅助地控制和/或调节技术系统的方法
US10330018B2 (en) 2014-03-24 2019-06-25 Rolls-Royce Corporation Integrating design and field management of gas turbine engine components with a probabilistic model
US9912733B2 (en) 2014-07-31 2018-03-06 General Electric Company System and method for maintaining the health of a control system
JP5956662B1 (ja) 2015-07-31 2016-07-27 ファナック株式会社 電源回生を調整するモータ制御装置、順変換器の制御装置、ならびに機械学習装置およびその方法
CN107066967B (zh) * 2017-04-12 2020-06-02 清华大学 一种利用局部观测信息的主动人脸寻的方法及装置
JP6958808B2 (ja) * 2017-09-15 2021-11-02 富士通株式会社 方策改善プログラム、方策改善方法、および方策改善装置
DE102017218811A1 (de) * 2017-10-20 2019-04-25 Robert Bosch Gmbh Verfahren und Vorrichtung zum Betreiben eines Aktorregelungssystems, Computerprogramm und maschinenlesbares Speichermedium
EP3489773B1 (de) * 2017-11-24 2024-12-25 Siemens Aktiengesellschaft Verfahren zum rechnergestützten steuern eines technischen systems, insbesondere einer energieerzeugungsanlage
CN108427828B (zh) * 2018-02-07 2022-04-26 李荣陆 一种自动评估平面设计布局质量与优化的装置
EP3547048A1 (de) * 2018-03-27 2019-10-02 Linde Aktiengesellschaft Verfahren zum dimensionieren einer prozessanlage
WO2020109074A1 (en) * 2018-11-30 2020-06-04 Asml Netherlands B.V. Method for decreasing uncertainty in machine learning model predictions
DE102019208263A1 (de) * 2019-06-06 2020-12-10 Robert Bosch Gmbh Verfahren und Vorrichtung zum Ermitteln einer Regelungsstrategie für ein technisches System
EP3839666B1 (de) 2019-12-18 2023-10-11 Siemens Aktiengesellschaft Steuereinrichtung zum steuern eines technischen systems und verfahren zum konfigurieren der steuereinrichtung
CN112506334B (zh) * 2020-11-06 2023-08-01 霸州嘉明扬科技有限公司 具有自主学习功能的系统功耗优化的轻量级系统及方法
DE102021212008A1 (de) * 2021-10-25 2023-04-27 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zur Erzeugung eines ein steuerbares System beschreibenden Zustandsmodells
US12417439B2 (en) * 2022-03-23 2025-09-16 Nec Corporation Offline machine learning for automatic action determination or decision making support
CN119992913A (zh) * 2025-03-18 2025-05-13 中国船舶集团有限公司第七〇三研究所 一种基于虚拟现实的燃气轮机教员示教方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3221497B2 (ja) * 1991-06-20 2001-10-22 三菱電機株式会社 制御方法およびその制御方法を用いた電力系統電圧−無効電力制御装置
GB2283320B (en) 1993-10-04 1997-12-10 Ford Motor Co Diagnostic technique for exhaust gas oxygen sensor operation
JPH10504667A (ja) * 1994-08-24 1998-05-06 シーメンス アクチェンゲゼルシャフト 人工的ニューラルネットワークのための有効領域を決定する方法
US6353814B1 (en) * 1997-10-08 2002-03-05 Michigan State University Developmental learning machine and method
JP3086206B2 (ja) * 1998-07-17 2000-09-11 科学技術振興事業団 エージェント学習装置
EP1058169A1 (de) * 1999-06-03 2000-12-06 Abb Research Ltd. Einrichtung und Verfahren zur Datenvalidierung
US20010032029A1 (en) * 1999-07-01 2001-10-18 Stuart Kauffman System and method for infrastructure design
US7194320B2 (en) * 2003-06-05 2007-03-20 Neuco, Inc. Method for implementing indirect controller
CN1746797A (zh) * 2005-08-09 2006-03-15 东华大学 智能优化参数自整定控制方法
US8484146B2 (en) * 2006-01-18 2013-07-09 Sony Corporation Interaction device implementing a bayesian's estimation
DE102007001025B4 (de) * 2007-01-02 2008-11-20 Siemens Ag Verfahren zur rechnergestützten Steuerung und/oder Regelung eines technischen Systems
DE102007001026B4 (de) * 2007-01-02 2008-09-04 Siemens Ag Verfahren zur rechnergestützten Steuerung und/oder Regelung eines technischen Systems
US8060454B2 (en) * 2007-10-11 2011-11-15 International Business Machines Corporation Method and apparatus for improved reward-based learning using nonlinear dimensionality reduction
WO2010011918A2 (en) * 2008-07-24 2010-01-28 University Of Cincinnati Methods for prognosing mechanical systems

Also Published As

Publication number Publication date
CA2714619C (en) 2018-01-16
JP2011060290A (ja) 2011-03-24
US20110059427A1 (en) 2011-03-10
JP5737890B2 (ja) 2015-06-17
CN102023570A (zh) 2011-04-20
CA2714619A1 (en) 2011-03-09
US8380646B2 (en) 2013-02-19
EP2296062A1 (de) 2011-03-16
EP2296062B1 (de) 2021-06-23
CN102023570B (zh) 2015-06-17

Similar Documents

Publication Publication Date Title
NZ587705A (en) Method for the computer-assisted learning of control and/or regulation of a technical system
Zhang et al. Safe and near-optimal policy learning for model predictive control using primal-dual neural networks
Imai et al. Bayesian estimation of dynamic discrete choice models
Levine et al. Variational policy search via trajectory optimization
Yang et al. Efficient generation of cycle time‐throughput curves through simulation and metamodeling
JP5768834B2 (ja) プラントモデル管理装置及び方法
Potts Incremental learning of linear model trees
Schlegel et al. Importance resampling for off-policy prediction
CN105046045B (zh) 一种基于贝叶斯组合的Web服务QoS预测方法
USRE46186E1 (en) Information processing apparatus, information processing method, and computer program for controlling state transition
CN113419424B (zh) 减少过估计的模型化强化学习机器人控制方法及系统
Kocijan et al. Nonlinear predictive control with a Gaussian process model
Probst et al. Using a Kalman filter and a Pade approximation to estimate random time delays in a networked feedback control system
Falsone et al. A novel randomized approach to nonlinear system identification
Asuncion et al. Particle filtered MCMC-MLE with connections to contrastive divergence
Kabaila Theory & Methods: An Efficient Simulation Method for the Computation of a Class of Conditional Expectations
Zhao et al. Obtaining accurate estimated action values in categorical distributional reinforcement learning
Hall et al. Reinforcement learning with reference tracking control in continuous state spaces
Shao et al. Conservative In-Distribution Q-Learning for Offline Reinforcement Learning
Duan et al. Maximum likelihood estimation of latent variable models by SMC with marginalization and data cloning
Ding Optimization and application of mixed regression models based on the expectation maximization algorithm
Marra et al. Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems
Park Sparse Bayesian Network-Based Disturbance Observer for Policy-Based Reinforcement Learning
van Meer et al. Real-time Program Evaluation using Anytime-valid Rank Tests
Li et al. On the parameter estimation of ARMA (p, q) model by approximate Bayesian computation

Legal Events

Date Code Title Description
PSEA Patent sealed
RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 3 YEARS UNTIL 31 AUG 2017 BY DENNEMYER + CO

Effective date: 20140718

RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 31 AUG 2018 BY DENNEMEYER + CO

Effective date: 20170726

LAPS Patent lapsed