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Dynamic Modeling, System Identification, and Control Engineering Approaches for Designing Optimized and Perpetually Adaptive Behavioral Health Interventions
Dynamic Modeling, System Identification, and Control Engineering Approaches for Designing ...
Dynamic Modeling, System Identification, and Control Engineering Approaches for Designing Optimized and Perpetually Adaptive Behavioral Health Interventions

Detailed Information

Material Type  
 단행본
 
0016054593
Date and Time of Latest Transaction  
20220210094351
ISBN  
9798538171408
DDC  
001
Author  
Freigoun, Mohammad T.
Title/Author  
Dynamic Modeling, System Identification, and Control Engineering Approaches for Designing Optimized and Perpetually Adaptive Behavioral Health Interventions
Publish Info  
[Sl] : Arizona State University, 2021
Publish Info  
Ann Arbor : ProQuest Dissertations & Theses, 2021
Material Info  
169 p
General Note  
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
General Note  
Advisor: Raupp, Gregory B.;Tsakalis, Konstantinos S.
학위논문주기  
Thesis (Ph.D.)--Arizona State University, 2021.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Systems science
Subject Added Entry-Topical Term  
Mathematics
Subject Added Entry-Topical Term  
Behavioral psychology
Subject Added Entry-Topical Term  
Biomedical engineering
Index Term-Uncontrolled  
Behavioral Medicine
Index Term-Uncontrolled  
Biomedical Engineering
Index Term-Uncontrolled  
Hybrid Model Predictive Control
Index Term-Uncontrolled  
Mathematical Modeling
Index Term-Uncontrolled  
Structured State-Space Models
Index Term-Uncontrolled  
System Identification
Added Entry-Corporate Name  
Arizona State University Chemical Engineering
Host Item Entry  
Dissertations Abstracts International. 83-03B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
로그인 후 원문을 볼 수 있습니다.
소장사항  
202202 2022

MARC

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■0820  ▼a001
■1001  ▼aFreigoun,  Mohammad  T.
■24510▼aDynamic  Modeling,  System  Identification,  and  Control  Engineering  Approaches  for  Designing  Optimized  and  Perpetually  Adaptive  Behavioral  Health  Interventions
■260    ▼a[Sl]▼bArizona  State  University▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a169  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-03,  Section:  B.
■500    ▼aAdvisor:  Raupp,  Gregory  B.;Tsakalis,  Konstantinos  S.
■5021  ▼aThesis  (Ph.D.)--Arizona  State  University,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0010.
■650  4▼aSystems  science
■650  4▼aMathematics
■650  4▼aBehavioral  psychology
■650  4▼aBiomedical  engineering
■653    ▼aBehavioral  Medicine
■653    ▼aBiomedical  Engineering
■653    ▼aHybrid  Model  Predictive  Control
■653    ▼aMathematical  Modeling
■653    ▼aStructured  State-Space  Models
■653    ▼aSystem  Identification
■690    ▼a0790
■690    ▼a0405
■690    ▼a0384
■690    ▼a0541
■71020▼aArizona  State  University▼bChemical  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g83-03B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0010
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054593▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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