Results 21 to 30 of about 17,798 (304)

Bayesian system identification and chaotic prediction from data for stochastic Mathieu-van der Pol-Duffing energy harvester

Theoretical and Applied Mechanics Letters, 2023
In this paper, the approximate Bayesian computation combines the particle swarm optimization and sequential Monte Carlo methods, which identify the parameters of the Mathieu-van der Pol-Duffing chaotic energy harvester system. Then the proposed method is
Di Liu, Shen Xu, Jinzhong Ma
doaj   +1 more source

Optimization of Initial Blank Shape with a Variable Blank Holder Force in Deep-Drawing via Sequential Approximate Optimization

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, the initial blank shape is optimized via sequential approximate optimization (SAO) with radial basis function (RBF) network. In deep drawing, the wrinkling and tearing are major defects.
Jirasak SRIRAT, Satoshi KITAYAMA, Koetsu YAMAZAKI   +2 more
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Optimization and Analysis on Trajectory with Multiple Constraints for Hypersonic Air-vehicle

MATEC Web of Conferences, 2015
The trajectory optimization technology is one of the key technologies for hypersonic air-vehicle. There are multiple constraints in the process of hypersonic flight, such as uncertainty of flight environment, thermal current, dynamic pressure and ...
Wei Changzhu, Huang Rong, Li Hao, Shan Yongzhi   +3 more
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Simultaneous Optimization of Variable Blank Holder Force Trajectory and Tools Motion in Deep Drawing via Sequential Approximate Optimization

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, variable blank holder force (VBHF) trajectory and tools motion are optimized simultaneous by a sequential approximate optimization (SAO) with radial basis function (RBF) network.
Jirasak SRIRAT, Satoshi KITAYAMA, Koetsu YAMAZAKI   +2 more
doaj   +1 more source

Approximate sequential optimization for informative path planning

Robotics and Autonomous Systems
We consider the problem of finding an informative path through a graph, given initial and terminal nodes and a given maximum path length. We assume that a linear noise corrupted measurement is taken at each node of an underlying unknown vector that we wish to estimate.
Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd   +2 more
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Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles

Nihon Kikai Gakkai ronbunshu, 2016
Hybrid electric vehicles, which have an internal combustion engine (ICE) and electric motor(s) (EMs), are effective to improve fuel consumption and exhaust emissions.
Marina SAIKYO, Satoshi KITAYAMA, Yui NISHIO, Kojiro TSUTSUMI   +3 more
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Sequential Sampling for Optimal Weighted Least Squares Approximations in Hierarchical Spaces [PDF]

SIAM Journal on Mathematics of Data Science, 2019
17 pages, 7 ...
Arras, Benjamin, Bachmayr, Markus, Cohen, Albert   +2 more
openaire   +4 more sources

A Novel Surrogate Model-Based Solving Framework for the Black-Box Dynamic Co-Design and Optimization Problem in the Dynamic System

Mathematics, 2022
When encountering the black-box dynamic co-design and optimization (BDCDO) problem in the multidisciplinary dynamic system, the finite difference technique is inefficient or even infeasible to provide approximate numerical gradient information for the ...
Qi Zhang, Yizhong Wu, Li Lu
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Lightweight design of a clamp band joint via a constrained sequential approximate optimization method in the irregular design domain

, 2022
The clamp band joint (CBJ) is a multi-component and complex device for connecting and separating satellites from launch vehicles. In this article, the pre-tightening and connection process are analysed sequentially through an implicit–explicit ...
Dapeng Zhang (89211), Baoshi Yu (14309068), Zhixiang Wang (307861), Haiyang Li (1557451), Yongjun Lei (9275729)   +4 more
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Simultaneous optimization in plastic injection molding for weldline temperature and clamping force

Nihon Kikai Gakkai ronbunshu, 2017
In plastic injection molding (PIM), the process parameters such as melt temperature, mold temperature, injection time, and so on strongly affect the energy consumption as well as the product quality.
Kanako TAMADA, Satoshi KITAYAMA, Masahiro TAKANO, Shuji AIBA   +3 more
doaj   +1 more source