Výsledky vyhledávání - Distributed tracking algorithms

Quantized Zeroth-Order Gradient Tracking Algorithm for Distributed Nonconvex Optimization Under Polyak-Łojasiewicz Condition Autor Xu, Lei, Yi, Xinlei, Deng, Chao, Shi, Yang, Chai, Tianyou, Yang, Tao

“… To overcome these limitations, we propose a quantized distributed zeroth-order algorithm, which integrates the deterministic gradient estimator, the standard uniform quantizer, and the distributed…”
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Momentum-based distributed gradient tracking algorithms for distributed aggregative optimization over unbalanced directed graphs Autor Wang, Zhu, Wang, Dong, Lian, Jie, Ge, Hongwei, Wang, Wei

“… variables of all agents. Inspired by the distributed dynamic average consensus protocol, heavy-ball strategy, and Nesterov gradient descent method, a momentum-based distributed gradient tracking algorithm with a fixed step…”
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H∞ Optimal Distributed Tracking Control Algorithm for Network Distributed Systems with an Application to UAV Autor Kucuksayacigil, Gulnihal

“…In this work, a recursive algorithm has been developed for heterogeneous network distributed systems (NDS…”
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A Distributed Tracking Algorithm for Reconstruction of Graph Signals Autor Wang, Xiaohan, Wang, Mengdi, Gu, Yuantao

“… Designing efficient distributed algorithms is critical for this task. This paper focuses on the distributed reconstruction of a time-varying bandlimited graph signal based on observations sampled at a subset of selected nodes…”
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Compressed gradient tracking algorithms for distributed nonconvex optimization Autor Xu, Lei, Yi, Xinlei, Wen, Guanghui, Shi, Yang, Johansson, Karl H., Yang, Tao

“… By integrating them, respectively, with the distributed gradient tracking algorithm, we then propose three corresponding compressed distributed nonconvex optimization algorithms…”
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Efficient Lagrangian particle tracking algorithms for distributed-memory architectures Autor Baldan, Giacomo, Bellosta, Tommaso, Guardone, Alberto

“… An efficient two-constraint domain partitioning for 2D and 3D unstructured hybrid meshes is proposed and implemented in distributed memory architectures…”
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Compressed Gradient Tracking Algorithm for Distributed Aggregative Optimization Autor Chen, Liyuan, Wen, Guanghui, Liu, Hongzhe, Yu, Wenwu, Cao, Jinde

“…This article is devoted to addressing the distributed aggregative optimization (DAO) problem via compressed gradient tracking algorithms, where the cost…”
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Quantized Distributed Gradient Tracking Algorithm With Linear Convergence in Directed Networks Autor Xiong, Yongyang, Wu, Ligang, You, Keyou, Xie, Lihua

“… To achieve linear convergence, this article proposes a novel quantized distributed gradient tracking algorithm (Q-DGT…”
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A novel distributed bearing‐only target tracking algorithm for underwater sensor networks with resource constraints Autor Zhao, Wei, Li, Xuan, Pang, Zhouqi, Hao, Chengpeng

“… In order to balance tracking accuracy and energy consumption, the authors present a distributed bearing…”
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Distributed Control Algorithm for Leader-Follower Formation Tracking of Multiple Quadrotors: Theory and Experiment Autor Wang, Zixuan, Zou, Yao, Liu, Yuzhen, Meng, Ziyang

“… A distributed control algorithm is proposed under a hierarchical framework. First, by introducing a distributed saturation control strategy, a command force is synthesized for the position to track the reference trajectory with a desired displacement…”
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Distributed Mismatch Tracking Algorithm for Constraint-Coupled Resource Allocation: Optimality and Differential Privacy Autor Wu, Wenwen, Zhu, Shanying, Liu, Shuai, Guan, Xinping

“… In this paper, we propose a novel distributed algorithm (termed DMAC) to achieve optimality for DRAPs based on mismatch tracking scheme…”
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Distributed energy-efficient target tracking algorithm based on event-triggered strategy for sensor networks Autor Zhang, Ya, Zhang, Lingling, Du, Lishuang, Liu, Cheng-Lin, Chen, Yang-Yang

“… A distributed Kalman filtering algorithm based on the minimum trace fusion principle is proposed…”
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Design of Distributed Event-Triggered Average Tracking Algorithms for Homogeneous and Heterogeneous Multiagent Systems Autor Zhao, Yu, Xian, Chengxin, Wen, Guanghui, Huang, Panfeng, Ren, Wei

“…This article addresses the design problem of distributed event-triggered average tracking (DETAT…”
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Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems Autor Han, Bing, Ge, Zilong, Su, Zhigang, Hao, Jingtang

“… This paper proposes a novel distributed particle filtering algorithm through introducing the coupled measurement into the conventional particle filtering method…”
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S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization Autor Li, Huaqing, Zheng, Lifeng, Wang, Zheng, Yan, Yu, Feng, Liping, Guo, Jing

“… Integrating the gradient tracking algorithm with stochastic averaging gradient technology, a distributed stochastic gradient tracking (termed as S-DIGing…”
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A Distributed Tracking Algorithm for Counting People in Video Autor Kuplyakov, D. A., Shalnov, E. V., Konushin, V. S., Konushin, A. S.

“… In this paper, a distributed tracking algorithm is proposed. It makes it possible to reduce the amount of computational resources due to detecting people in a sparse set of frames…”
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A Nesterov-Like Gradient Tracking Algorithm for Distributed Optimization Over Directed Networks Autor Lu, Qingguo, Liao, Xiaofeng, Li, Huaqing, Huang, Tingwen

“…In this article, we concentrate on dealing with the distributed optimization problem over a directed network, where each unit possesses its own convex cost function and the principal target…”
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Design Fixed-Time Practical Distributed Average Tracking Algorithms for Nonlinear Signals With Bounded- and Lipschitz-Type Derivatives Autor Chen, Qiang, Shi, Guoqing, Zhao, Yu, Wen, Guanghui

“…In this brief, the fixed-time practical distributed average tracking (DAT) problem for multiple nonlinear signals is studied, where the nonlinear signals are with bounded- and Lipschitz-type derivatives respectively…”
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Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks Autor Huang, Zengfeng, Yi, Ke, Zhang, Qin

“…We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking…”
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A distributed stochastic optimization algorithm with gradient-tracking and distributed heavy-ball acceleration Autor Sun, Bihao, Hu, Jinhui, Xia, Dawen, Li, Huaqing

“… In contrast to existing works, we apply a distributed heavy-ball term to improve the convergence performance of the proposed algorithm…”
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