Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Xingzhi Hu"'
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5571 (2023)
To address the new functional requirements brought by the introduction of new weapons and new combat modes, a comprehensive survey of the research progress in the area of combat simulation software is performed from the perspective of software engine
Externí odkaz:
https://doaj.org/article/afafa92299ed4ca69beb881ef7067f67
Publikováno v:
Nonlinear Analysis, Vol 27 (2022)
Synchronization of reaction–diffusion Hopfield neural networks with s-delays via sliding mode control (SMC) is investigated in this paper. To begin with, the system is studied in an abstract Hilbert space C([–r; 0];U) rather than usual Euclid spa
Externí odkaz:
https://doaj.org/article/302fd13cff8442bc87545f0d27b11383
Autor:
Xingzhi HU1,2 895757507@qq.com
Publikováno v:
Thermal Science. 2021, Vol. 25 Issue 4B, p2991-2998. 8p.
Publikováno v:
Structural and Multidisciplinary Optimization. 60:1571-1582
Uncertainty-based design optimization (UBDO) is becoming increasingly important with great attention to critical system reliability and robustness. However, most traditional UBDO methods only consider low-order response moments and a limited number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a865b39ee662f16dedd202e3d71122b1
https://doi.org/10.1007/s00158-019-02286-8
https://doi.org/10.1007/s00158-019-02286-8
Publikováno v:
Acta Astronautica. 148:22-31
Low-cost Moon imaging micro/nano-satellites have been receiving much attention from the engineering community. The reliability-based robust design optimization (RBRDO) of these weight/size/power constrained satellites is crucial. In this study, the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f71dac1e279758f9c665408b4ace92b
https://doi.org/10.1016/j.actaastro.2018.04.017
https://doi.org/10.1016/j.actaastro.2018.04.017
Publikováno v:
AIAA Journal. 56:1158-1169
Chance-constrained optimization has recently been receiving much attention from the engineering community. Uncertainties are being incorporated in increasingly large numbers to ensure reliability and robustness. However, the efficiency and accuracy o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b26c387afeb788de7d69bf5d4eaf8ce
https://doi.org/10.2514/1.j056262
https://doi.org/10.2514/1.j056262
Publikováno v:
Acta Astronautica. 131:159-165
Ever-increasing launch of small satellites demands an effective and efficient computer-aided analysis approach to shorten the ground test cycle and save the economic cost. However, the multiple influencing factors hamper the efficiency and accuracy o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88515229b5890bbbdfd441dfd2f30703
https://doi.org/10.1016/j.actaastro.2016.10.042
https://doi.org/10.1016/j.actaastro.2016.10.042
Publikováno v:
Journal of Verification, Validation and Uncertainty Quantification. 4
The popular use of response surface methodology (RSM) accelerates the solutions of parameter identification and response analysis issues. However, accurate RSM models subject to aleatory and epistemic uncertainties are still challenging to construct,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539c109f0fbdacd59f92783e54d8a756
https://doi.org/10.1115/1.4045200
https://doi.org/10.1115/1.4045200
Autor:
Xingzhi Hu
Publikováno v:
Electrotehnica, Electronica, Automatica; Jan-mar2022, Vol. 70 Issue 1, p13-22, 10p
Publikováno v:
Progress in Aerospace Sciences. 86:20-27
Ever-increasing demands of uncertainty-based design, analysis, and optimization in aerospace vehicles motivate the development of Monte Carlo methods with wide adaptability and high accuracy. This paper presents a comprehensive review of typical impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99891ef60112e4682433cbb950dd60cb
https://doi.org/10.1016/j.paerosci.2016.07.004
https://doi.org/10.1016/j.paerosci.2016.07.004