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A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces

open access: yesAdvanced Science, EarlyView.
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
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Numerical methods of nonlinear optimal control based on mathematical programming

Nonlinear Analysis: Theory, Methods & Applications, 1997
In 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 ...
openaire   +4 more sources

Mathematical models, numerical methods and complexes of programs for efficiency improvement of multiproduct production

Informatization and communication, 2020
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
openaire   +1 more source

Theoretical and numerical comparison of relaxation methods for mathematical programs with complementarity constraints

Mathematical Programming, 2011
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.
Tim Hoheisel   +2 more
openaire   +1 more source

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