METAMODELING

作品数：22被引量：17H指数：3
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相关领域：自动化与计算机技术更多>>
相关作者：张彬张为更多>>
相关机构：云南财经大学更多>>
相关期刊：《Computers, Materials & Continua》《Building Simulation》《Chinese Journal of Electronics》《Journal of Software Engineering and Applications》更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划北京市自然科学基金国家高技术研究发展计划更多>>
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Refined Metamodel Disturbance Observer-Based Control for Coarse Pointing Assembly Under Constraints
《Guidance, Navigation and Control》2024年第4期37-57,共21页Yongjian Yang Zeyu Bao Jianzhong Qiao Yukai Zhu Lei Guo 
supported by the Project of China Aerospace Science and Technology Corporation under Grant YF-ZZYF-2022-088
The target tracking performance of the coarse pointing assembly(CPA) is a critical factor in determining the data transmission efficiency of the inter-satellite laser communication. However, under the influence of mul...
关键词：Laser communication coarse pointing assembly METAMODELING disturbance observer-based control state constraints 
Active learning-based metamodeling for hybrid uncertainty quantification of hydro-mechatronic-control systems:A case study of EHA systems
《Chinese Journal of Aeronautics》2024年第12期12-30,共19页Muchen WU Hao CHEN Minghao TAI Tangfan XIAHOU Zehua GE Zhenyu LIU Bing CHU Zhongrui ZHAO Yu LIU 
the National Natural Science Foundation of China(Nos.72301057,72271044,72331002,and 52305010);the Sichuan Science and Technology Program,China(No.2023YFG0157).
The Electro-Hydrostatic Actuator(EHA)is a typical hydro-mechatronic control system.Due to the limited accuracy of measurement,inadequate knowledge,and vague judgments,hybrid uncertainties,including aleatory and episte...
关键词：Electro-Hydrostatic Actuator(EHA) Hybrid uncertainty METAMODELING Optimized Max-Minimize Distance(OMMD) Hydro-mechatronic-control systems 
Uplifting the complexity of analysis for probabilistic security of electricity supply assessments using artificial neural networks
《Energy and AI》2024年第3期313-326,共14页Justin Münch Jan Priesmann Marius Reich Marius Tillmanns Aaron Praktiknjo Mario Adam 
Funded by the Deutsche Forschungsgemeinschaft(DFG,German Research Foundation)-532148125 and supported by the central publication fund of Hochschule Düsseldorf University of Applied Sciences.
The energy sector faces rapid decarbonisation and decision-makers demand reliable assessments of the security of electricity supply. For this, detailed simulation models with a high temporal and technological resoluti...
关键词：Security of electricity supply Probabilistic simulation METAMODELING Artificial neural networks Regression 
Physics-informed machine learning for metamodeling thermal comfort in non-air-conditioned buildings
《Building Simulation》2023年第2期299-316,共18页Issa Jaffal 
There is a growing need for accurate and interpretable machine learning models of thermal comfort in buildings.Physics-informed machine learning could address this need by adding physical consistency to such models.Th...
关键词：adaptive thermal comfort OVERHEATING physics-informed machine learning metamodel surrogate model probability distributions 
Metamodeling and multicriteria analysis for sustainable and passive residential building refurbishment: A case study of French housing stock被引量：1
《Building Simulation》2022年第3期453-472,共20页Zaid Romani Abdeslam Draoui Francis Allard 
For the energy-related issues that the world is facing nowadays,the renovation of the building stock is one of the major challenges.The objective of this study is to present an approach that helps to develop a multi-c...
关键词：METAMODELING building refurbishment multi-criteria decision support sustainable building passive building 
A novel spatio-temporal trajectory data-driven development approach for autonomous vehicles
《Frontiers of Earth Science》2021年第3期620-630,共11页Menghan ZHANG Mingjun MA Jingying ZHANG Mingzhuo ZHANG Bo LIW Dehui DU 
supports for this work,provided by the National Natural Science Foundation of China(Grant No.61972153);the National Key Research and Development Program(No.2018YFE0101000);the Key projects of the Ministry of Science and Technology(No.2020AAA0107800);are gratefully acknowledged.
Nowadays,autonomous driving has been attracted widespread attention from academia and industry.As we all know,deep learning is effective and essential for the development of AI components of Autonomous Vehicles(AVs).H...
关键词：spatio-temporal trajectory data data metamodeling domain knowledge LSTM vehicle behavior prediction AI component 
Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning
《Computers, Materials & Continua》2021年第7期569-587,共19页Amir Parnianifard MuhammadSaadi Manus Pengnoo Muhammad Ali Imran Sattam Al Otaibi Pruk Sasithong Pisit Vanichchanunt Tuchsanai Polysuwan Lunchakorn Wuttisittikulkij 
funded by TSRI Fund(CU_FRB640001_01_21_6).Amir Parnianifard would like to acknowledge the financial support by Second Century Fund(C2F),Chulalongkorn University,Bangkok;Supporting Project number(TURSP-2020/228),Taif University,Taif,Saudi Arabia for the financial support.
With every passing day,the demand for data traffic is increasing,and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the ...
关键词：Simulation-optimization radial basis function particle swarm optimization multi-transmitter placement 
Energy and carbon performance of urban buildings using metamodeling variable importance techniques被引量：3
《Building Simulation》2021年第3期535-547,共13页Yunliang Liu Wei Tian Xiang Zhou 
supported by the National Natural Science Foundation of China(No.51778416);the Key Projects of Philosophy and Social Sciences Research,Ministry of Education of China“Research on Green Design in Sustainable Development”(contract No.16JZDH014,approval No.16JZD014).
Global urbanization causes more environmental stresses in cities and energy efficiency is one of major concerns for urban sustainability.The variable importance techniques have been widely used in building energy anal...
关键词：urban buildings variable importance METAMODELING energy performance carbon emissions 
An adaptive sequential experiment design method for model validation被引量：4
《Chinese Journal of Aeronautics》2020年第6期1661-1672,共12页Ke FANG Yuchen ZHOU Ping MA 
supported by the National Natural Science Foundation of China(No.61627810)。
Efficient experiment design is of great significance for the validation of simulation model with high nonlinearity and large input space.Excessive validation experiment raises the cost while insufficient test increase...
关键词：Adaptive sequential experiment design Credibility distribution function Gaussian process model METAMODELING Model validation 
An ontological metamodeling framework for semantic simulation model engineering被引量：1
《Journal of Systems Engineering and Electronics》2020年第3期527-538,共12页LEI Yonglin ZHU Zhi LI Qun 
the National Natural Science Foundation of China(61273198).
Recently,the ontological metamodel plays an increasingly important role to specify systems in two forms:ontology and metamodel.Ontology is a descriptive model representing reality by a set of concepts,their interrelat...
关键词：ontology METAMODELING semantic composability model-driven engineering(MDE) 
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