Results 51 to 60 of about 167,968,449 (203)

Autofocused compressive SAR imaging based on the alternating direction method of multipliers [PDF]

, 2017
We present an alternating direction method of multipliers (ADMM) based autofocused Synthetic Aperture Radar (SAR) imaging method in the presence of unknown 1-D phase errors in the phase history domain, with undersampled measurements.
Çetin, Müjdat, Mujdat Cetin, H. Emre Guven, Güngör, Alper, Güven, Emre H., Alper Gungor   +5 more
core   +1 more source

A Decentralized ADMM-Cauchy Framework for Enhancing Dynamic Economic Dispatch in Power Networks

Journal of Electrical and Computer Engineering
Addressing the challenges of dynamic economic dispatch (DED) in modern power systems, this paper introduces a distributed alternating direction method of multipliers with Cauchy convergence framework (ADMM-Cauchy).
Yaming Ren
doaj   +1 more source

Suboptimal Model Predictive Control With a Computation Governor: Stability, Recursive Feasibility, and Applications to Alternating Direction Method of Multipliers

Optimal Control Applications and Methods, EarlyView.
Computational governor is shown which simultaneously adjusts the reference and adjusts the constraints. ABSTRACT The paper considers a computational governor strategy to facilitate the implementation of Model Predictive Control (MPC) based on inexact optimization when the time available to compute the solution may be insufficient.
Steven van Leeuwen, Ilya Kolmanovsky
wiley   +1 more source

Non-blind deconvolution with an alternating direction method of multipliers (ADMM) after noise reduction in nondestructive testing

Journal of Instrumentation, 2019
To ensure the quality of material, nondestructive testing is necessary, and radiography testing is the nondestructive technique most commonly used today. For inspection, the quality of a radiographic image is critical, and there are many image artifacts that can reduce inspection accuracies such as noise or blurring.
W. Cheon, B.J. Min, Y.S. Seo, H. Lee
openaire   +2 more sources

Toward Encrypted OPF Across Transmission and Distribution—Prospects and Open Problems of Encrypted Quadratic Programming

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The increasing integration of distributed energy resources demands enhanced coordination between transmission system operators (TSOs) and distribution system operators (DSOs) to maintain reliable grid operation. Traditional approaches rely on hierarchical or distributed optimization schemes for power flow management, but these methods either ...
Janis Adamek, Philipp Binfet, Maísa Beraldo Bandeira, Timm Faulwasser, Moritz Schulze Darup   +4 more
wiley   +1 more source

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

A Consensus Approach to Distributed Convex Optimization in Multi-Agent Systems [PDF]

, 2013
In this thesis we address the problem of distributed unconstrained convex optimization under separability assumptions, i.e., the framework where a network of agents, each endowed with local private convex cost and subject to communication constraints ...
Filippo Zanella, Zanella, Filippo
core  

A stochastic alternating direction method of multipliers for non-smooth and non-convex optimization

, 2021
Alternating direction method of multipliers (ADMM) is a popular first-order method owing to its simplicity and efficiency. However, similar to other proximal splitting methods, the performance of ADMM degrades significantly when the scale of optimization
Bian, Fengmiao, Zhang, Xiaoqun, Liang, Jingwei   +2 more
core   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Co‐Optimisation of Battery Energy Storage Systems for Voltage Regulation and Reverse Power Flow Control in PV‐Enriched Low Voltage Distribution Network

IET Smart Energy Systems, EarlyView.
A hybrid GA–PSO framework determines the optimal placement and sizing of distributed battery energy storage systems in a PV‐enriched low voltage feeder, whereas dynamic consensus control (DCC) coordinates their operation. The integrated approach mitigates voltage rise and reverse power flow and promotes balanced utilisation of multiple storage units ...
Nirakar Nepal, Raagini Upadhyay, Samvid Neupane, Udghosh Bhandari, Anil Kumar Panjiyar   +4 more
wiley   +1 more source