Results 71 to 80 of about 245,277 (249)
An augmented Lagrangian method for autofocused compressed SAR imaging [PDF]
, 2015 We present an autofocus algorithm for Compressed SAR Imaging. The technique estimates and corrects for 1-D phase errors in the phase history domain, based on prior knowledge that the reflectivity field is sparse, as in the case of strong scatterers ...
Cetin, Mujdat +5 more
core +1 more source
Planning and Control Framework for a Quadruped Robot With Changeable Configuration
Advanced Intelligent Systems, EarlyView.Multiconfiguration quadruped robots enhance adaptability by switching between mammal‐like and reptile‐like morphologies. This study presents a nonlinear constraint‐based motion planner integrated with a hierarchical whole‐body controller, enabling robust configuration switching and locomotion on complex terrains. Experiments on slopes, irregular bricks,
Guanglin Lu +5 more
wiley +1 more source
A new parallel splitting augmented Lagrangian-based method for a Stackelberg game
Journal of Inequalities and Applications, 2016 This paper addresses a novel solution scheme for a special class of variational inequality problems which can be applied to model a Stackelberg game with one leader and three or more followers.
Xihong Yan, Ruiping Wen
doaj +1 more source
A note on embeddings for the Augmented Lagrange Method [PDF]
Yugoslav Journal of Operations Research, 2010 Nonlinear programs (P) can be solved by embedding problem P into one parametric problem P(t), where P(1) and P are equivalent and P(0), has an evident solution.
Bouza-Allende Gemayqzel, Guddat Jurgen
doaj +1 more source
A Highly Efficient Semismooth Newton Augmented Lagrangian Method for Solving Lasso Problems [PDF]
SIAM Journal on Optimization, 2016 We develop a fast and robust algorithm for solving large-scale convex composite optimization models with an emphasis on the $\ell_1$-regularized least squares regression (lasso) problems. Despite the fact that there exist a large number of solvers in the
Xudong Li, Defeng Sun, K. Toh
semanticscholar +1 more source
Application of machine learning to viscoplastic flow modeling
, 2018 We present a method to construct reduced-order models for duct flows of Bingham media. Our method is based on proper orthogonal decomposition (POD) to find a low-dimensional approximation to the velocity and artificial neural network to approximate the ...
Koroteev, D. +2 more
core +1 more source
Linear Convergence of Primal-Dual Gradient Methods and their Performance in Distributed Optimization
, 2020 In this work, we revisit a classical incremental implementation of the primal-descent dual-ascent gradient method used for the solution of equality constrained optimization problems.
Alghunaim, Sulaiman A., Sayed, Ali H.
core +1 more source
Augmented Lagrangian Methods as Layered Control Architectures
, 2023 For optimal control problems that involve planning and following a trajectory, two degree of freedom (2DOF) controllers are a ubiquitously used control architecture that decomposes the problem into a trajectory generation layer and a feedback control layer.
Srikanthan, Anusha +2 more
openaire +2 more sources
Asian Journal of Control, EarlyView.Abstract This paper tackles the problem of robust and accurate fixed‐time tracking in human–robot interaction and deals with uncertainties. This work introduces a control approach for a wearable exoskeleton designed specifically for rehabilitation tasks.
Mahmoud Abdallah +4 more
wiley +1 more source
Journal of Mathematics, 2021 The Uzawa method is an iterative approach to find approximated solutions to the Stokes equations. This method solves velocity variables involving augmented Lagrangian operator and then updates pressure variable by Richardson update.
Jae-Hong Pyo, Deok-Kyu Jang
doaj +1 more source