A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
Efficient next-generation reservoir computing: An analog in-memory implementation using memristor crossbar arrays. [PDF]
Lin Z +5 more
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Optimizing sustainable healthcare location routing problem: Incorporating triage, automated medicine lockers, and soft time windows. [PDF]
Samadi Bahrami Z +2 more
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Data-driven discovery of digital twins in biomedical research. [PDF]
Métayer C, Ballesta A, Martinelli J.
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Bridging the scales for deformable red blood cells simulation: from resolved immersed boundary to unresolved CFD-DEM. [PDF]
Porcaro C, Latt J, Saeedipour M.
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An Intelligent Model Predictive Control Framework for Low-Frequency Seismic Vibration Suppression in Active Isolation Systems. [PDF]
Fan Q +5 more
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Enhanced twin delayed DDPG with prioritized experience replay and Noisy Nets for regional economic dispatch. [PDF]
Xu C +5 more
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Numerical methods of nonlinear optimal control based on mathematical programming
Nonlinear Analysis: Theory, Methods & Applications, 1997In the first half of this paper, we study a primal-dual interior-point algorithm for convex quadratic programming problems in Hilbert space with the object of direct application to continuous-time LQ optimal control problems. Since our problems are infinite-dimensional, it is impossible in general to solve exactly the linear equations for finding a ...
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The problems of analysis and planning of diversified production, including the lack of effective methods for search, systematization and primary processing of initial data for mathematical programming methods used in the process of its optimization are considered. Methodology IDEF0 is proposed as a data collection system.
I.I. Kovtun, G.S. Romanenko
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The authors deal with convergence properties of five relaxation methods for solving mathematical programs with equilibrium constraints (MPECs). Several existed convergence results are improved and some new results regarding the satisfaction of standard constraint qualifications for the relaxed problems are obtained.
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