The Proximal Alternating Minimization Algorithm for Two-Block Separable Convex Optimization Problems with Linear Constraints. [PDF]
Bitterlich S+3 more
europepmc +1 more source
Topics in Convex Optimization: Interior-Point Methods, Conic Duality and Approximations
François Glineur
openalex +1 more source
ROBUST DECENTRALIZED CONTROLLER DESIGN FOR POWER SYSTEMS USING CONVEX OPTIMIZATION INVOLVING LMIS
Getachew K. Befekadu, I. Erlich
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This article proposes a soft wearable robot (WeaRo) to assist workers while executing manual handling tasks. With its innovative design, the WeaRo effectively assists multiple body parts during manual handling tasks while using a single motor. Furthermore, the components of the WeaRo are assembled onto a fabric‐based suit, ensuring high performance and
Dongun Lee+3 more
wiley +1 more source
Sequential Change-Point Detection via Online Convex Optimization. [PDF]
Cao Y, Xie L, Xie Y, Xu H.
europepmc +1 more source
CONTROL SYNTHESIS OF SYSTEMS WITH UNCERTAIN PARAMETERS BY CONVEX OPTIMIZATION
Francesc Pozo+2 more
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Real‐Time Motion Generation for Robot Manipulators in Complex Dynamic Environments
A motion generation method for robot manipulators in complex dynamic environments is presented. The method integrates global motion planning with local obstacle avoidance, ensuring continuous movement toward dynamically measured target poses. An online distance calculation algorithm is developed, and a collision‐free motion generator is proposed that ...
Tianyu Zhang+6 more
wiley +1 more source
Automatic interstitial photodynamic therapy planning via convex optimization. [PDF]
Yassine AA+5 more
europepmc +1 more source
A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao+7 more
wiley +1 more source
Fairness in Federated Learning: Trends, Challenges, and Opportunities
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar+2 more
wiley +1 more source