GB201309357D0 - Auto-tuning for non-parametric convolution model-based predictive functional controller - Google Patents

Auto-tuning for non-parametric convolution model-based predictive functional controller

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Publication number
GB201309357D0
GB201309357D0 GBGB1309357.0A GB201309357A GB201309357D0 GB 201309357 D0 GB201309357 D0 GB 201309357D0 GB 201309357 A GB201309357 A GB 201309357A GB 201309357 D0 GB201309357 D0 GB 201309357D0
Authority
GB
United Kingdom
Prior art keywords
parametric
tuning
auto
based predictive
convolution model
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.)
Granted
Application number
GBGB1309357.0A
Other versions
GB2514412B (en
GB2514412A (en
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.)
DOVZAN DEJAN
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DOVZAN DEJAN
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
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Application filed by DOVZAN DEJAN filed Critical DOVZAN DEJAN
Priority to GB1309357.0A priority Critical patent/GB2514412B/en
Publication of GB201309357D0 publication Critical patent/GB201309357D0/en
Publication of GB2514412A publication Critical patent/GB2514412A/en
Application granted granted Critical
Publication of GB2514412B publication Critical patent/GB2514412B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • 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
GB1309357.0A 2013-05-24 2013-05-24 A self-tuning predictive functional control apparatus based on step response model Expired - Fee Related GB2514412B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB1309357.0A GB2514412B (en) 2013-05-24 2013-05-24 A self-tuning predictive functional control apparatus based on step response model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1309357.0A GB2514412B (en) 2013-05-24 2013-05-24 A self-tuning predictive functional control apparatus based on step response model

Publications (3)

Publication Number Publication Date
GB201309357D0 true GB201309357D0 (en) 2013-07-10
GB2514412A GB2514412A (en) 2014-11-26
GB2514412B GB2514412B (en) 2018-02-07

Family

ID=48784676

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1309357.0A Expired - Fee Related GB2514412B (en) 2013-05-24 2013-05-24 A self-tuning predictive functional control apparatus based on step response model

Country Status (1)

Country Link
GB (1) GB2514412B (en)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102004058238B4 (en) * 2003-12-03 2016-02-04 Fisher-Rosemount Systems, Inc. Adaptive, multivariable process control that uses model switching and attribute interpolation

Also Published As

Publication number Publication date
GB2514412B (en) 2018-02-07
GB2514412A (en) 2014-11-26

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Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 20180507