Results 1 to 10 of about 50,039 (279)

An end-to-end data-driven optimization framework for constrained trajectories

open access: yesData-Centric Engineering, 2022
Many real-world problems require to optimize trajectories under constraints. Classical approaches are often based on optimal control methods but require an exact knowledge of the underlying dynamics and constraints, which could be challenging or even out
Florent Dewez   +3 more
doaj   +1 more source

A new logarithmic penalty function approach for nonlinear constrained optimization problem [PDF]

open access: yesDecision Science Letters, 2019
This paper presents a new penalty function called logarithmic penalty function (LPF) and examines the convergence of the proposed LPF method. Furthermore, the LaGrange multiplier for equality constrained optimization is derived based on the first-order ...
Mansur Hassan , Adam Baharum
doaj   +1 more source

Penalization of Dirichlet optimal control problems [PDF]

open access: yesESAIM: Control, Optimisation and Calculus of Variations, 2008
We apply Robin penalization to Dirichlet optimal control problems governed by semilinear elliptic equations. Error estimates in terms of the penalization parameter are stated. The results are compared with some previous ones in the literature and are checked by a numerical experiment.
Casas Rentería, Eduardo   +2 more
openaire   +5 more sources

Regularity for the Optimal Compliance Problem with Length Penalization [PDF]

open access: yesSIAM Journal on Mathematical Analysis, 2017
We prove some regularity results for a connected set S in the planar domain O, which minimizes the compliance of its complement O , plus its length. This problem, interpreted as to find the best location for attaching a membrane subject to a given external force f so as to minimize the compliance, can be seen as an elliptic PDE version of the average ...
Chambolle, Antonin   +3 more
openaire   +4 more sources

A Penalization and Regularization Technique in Shape Optimization Problems [PDF]

open access: yesSIAM Journal on Control and Optimization, 2013
We consider shape optimization problems, where the state is governed by elliptic partial differential equations. Using a regularization technique, unknown shapes are encoded via shape functions, turning the shape optimization into optimal control problems for the unknown functions.
Philip, P., Tiba, D.
openaire   +2 more sources

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems [PDF]

open access: yes2021 29th European Signal Processing Conference (EUSIPCO), 2021
Many data science problems can be efficiently addressed by minimizing a cost function subject to various constraints. In this paper a new method for solving largescale constrained differentiable optimization problems is proposed. To account efficiently for a wide range of constraints, our approach embeds a subspace algorithm into an exterior penalty ...
Martin, Ségolène   +2 more
openaire   +2 more sources

Infinite Penalization for Optimal Control Problems: An infinite‐dimensional optimization method for constrained optimization problems [PDF]

open access: yesPAMM, 2013
AbstractWe present results on a method for infinite dimensional constrained optimization problems. In particular, we are interested in state constrained optimal control problems and discuss an algorithm based on penalization and smoothing. The algorithm contains update rules for the penalty and the smoothing parameter that depend on the constraint ...
Martin Gugat, Michael Herty
openaire   +1 more source

Novel multi-objective topology optimization method for stiffness and stress of continuum structures

open access: yesAdvances in Mechanical Engineering, 2022
In this paper, a topology optimization method combining Bi-directional Evolutionary Structural Optimization (BESO) and Fast Non-dominated Sorting Genetic Algorithm II (NSGA-II) is proposed, which is called BESO-NSGA-II.
Shuo Feng   +4 more
doaj   +1 more source

Partial regularity for the optimal p-compliance problem with length penalization [PDF]

open access: yesCalculus of Variations and Partial Differential Equations, 2021
42 pages, 2 figures.
openaire   +4 more sources

Practical Model Predictive Control for a Class of Nonlinear Systems Using Linear Parameter-Varying Representations

open access: yesIEEE Access, 2021
In this paper, a practical model predictive control (MPC) for tracking desired reference trajectories is demonstrated for controlling a class of nonlinear systems subject to constraints, which comprises diverse mechanical applications.
Hossam S. Abbas   +4 more
doaj   +1 more source

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