Results 21 to 30 of about 605 (168)

Robust Adaptive Beamformer Based on Constant Modulus Penalty Criteria

open access: yesInternational Journal of Aerospace Engineering, 2023
In this study, a robust adaptive beamformer based on constant modulus (CM) criteria is developed to improve the robustness of the array beamforming, which is a reconstructing minimal optimization for solving the mismatch problem of weight vector caused ...
Chuanhui Hao, Bin Zhang, Xubao Sun
doaj   +1 more source

Linear decomposition approach for a class of nonconvex programming problems

open access: yesJournal of Inequalities and Applications, 2017
This paper presents a linear decomposition approach for a class of nonconvex programming problems by dividing the input space into polynomially many grids.
Peiping Shen, Chunfeng Wang
doaj   +1 more source

A Mixed-Integer Linear Programming Model for the Simultaneous Optimal Distribution Network Reconfiguration and Optimal Placement of Distributed Generation

open access: yesEnergies, 2022
Distributed generation (DG) aims to generate part of the required electrical energy on a small scale closer to the places of consumption. Integration of DG into an existing electric distribution network (EDN) has technical, economic, and environmental ...
Luis A. Gallego Pareja   +2 more
doaj   +1 more source

An Enhanced SDR Based Global Algorithm for Nonconvex Complex Quadratic Programs With Signal Processing Applications

open access: yesIEEE Open Journal of Signal Processing, 2020
In this paper, we consider a class of nonconvex complex quadratic programming (CQP) problems, which find a broad spectrum of signal processing applications.
Cheng Lu, Ya-Feng Liu, Jing Zhou
doaj   +1 more source

WITHDRAWN: Nonconvex optimization based on DC programming and DCA in the search of a global optimum of a nonconvex function

open access: yesJournal of the Egyptian Mathematical Society, 2015
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.
Leslous, Fadila   +3 more
openaire   +1 more source

An accelerating algorithm for globally solving nonconvex quadratic programming

open access: yesJournal of Inequalities and Applications, 2018
To globally solve a nonconvex quadratic programming problem, this paper presents an accelerating linearizing algorithm based on the framework of the branch-and-bound method. By utilizing a new linear relaxation approach, the initial quadratic programming
Li Ge, Sanyang Liu
doaj   +1 more source

Sustainable Design and Synthesis of Shale Gas Processing and Chemical Manufacturing Processes

open access: yesChemical Engineering Transactions, 2018
In this work, we propose a superstructure of integrated shale gas processing and chemical manufacturing processes with 51,840 alternative possible process designs.
Jian Gong, Fengqi You
doaj   +1 more source

Efficient and Robust Standing Postures of Quadruped Robots

open access: yesAdvanced Robotics Research, EarlyView.
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan   +5 more
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy