Suchergebnisse - "Stochastic gradient algorithm"

A filtering based multi-innovation extended stochastic gradient algorithm for multivariable control systems von Pan, Jian, Jiang, Xiao, Wan, Xiangkui, Ding, Wenfang

“… For a multivariable system with moving average noise (i.e., a multivariable controlled autoregressive moving average system), this paper proposes a filtering …”
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Model transformation based distributed stochastic gradient algorithm for multivariate output-error systems von Liu, Qinyao, Chen, Feiyan

“… This paper is concerned with the parameter estimation problem for the multivariate system disturbed by coloured noises. Since coloured noises will reduce the …”
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Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm von Yuan, Deming, Ho, Daniel W. C., Xu, Shengyuan

“… This article considers the problem of stochastic strongly convex optimization over a network of multiple interacting nodes. The optimization is under a global …”
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Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization von Bianchi, P., Jakubowicz, J.

“… We introduce a new framework for the convergence analysis of a class of distributed constrained non-convex optimization algorithms in multi-agent systems. The …”
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Online Distributed Stochastic Gradient Algorithm for Nonconvex Optimization With Compressed Communication von Li, Jueyou, Li, Chaojie, Fan, Jing, Huang, Tingwen

“… To handle the issue, we design an online stochastic gradient algorithm with compressed communication when the knowledge of the gradient is available …”
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Online distribution system state estimation via stochastic gradient algorithm von Huang, Jianqiao, Zhou, Xinyang, Cui, Bai

“… To solve the real-time DSSE with asynchronous measurements effectively and accurately, this paper formulates a weighted least squares DSSE problem and proposes an online stochastic gradient algorithm to solve …”
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Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling von Liu, Qilin, Xiao, Yongsong, Ding, Feng, Hayat, Tasawar

“… an over‐parameterization forgetting factor stochastic gradient algorithm for identifying the nonlinear systems …”
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Multi-index antithetic stochastic gradient algorithm von Majka, Mateusz B., Sabate-Vidales, Marc, Szpruch, Łukasz

“… Stochastic Gradient Algorithms (SGAs) are ubiquitous in computational statistics, machine learning and optimisation …”
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Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling von Ding, Feng

“… This paper decomposes a Hammerstein nonlinear system into two subsystems, one containing the parameters of the linear dynamical block and the other containing …”
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A stochastic gradient algorithm with momentum terms for optimal control problems governed by a convection–diffusion equation with random diffusivity von Toraman, Sıtkı Can, Yücel, Hamdullah

“… In this paper, we focus on a numerical investigation of a strongly convex and smooth optimization problem subject to a convection–diffusion equation with …”
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Online Distributed Stochastic Gradient Algorithm for Non-Convex Optimization With Compressed Communication von Li, Jueyou, Li, Chaojie, Fan, Jing, Huang, Tingwen

“… that exchanges message potentially transmits large amounts of information to its neighbors. To handle the issue, we design an online stochastic gradient algorithm with compressed communication when the knowledge of the gradient is available …”
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Modified multi-innovation stochastic gradient algorithm for Wiener–Hammerstein systems with backlash von Li, Linwei, Ren, Xuemei, Guo, Fumin

“… In this paper, the identification of the Wiener–Hammerstein systems with unknown orders linear subsystems and backlash is investigated by using the modified …”
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A Line Search Based Proximal Stochastic Gradient Algorithm with Dynamical Variance Reduction von Franchini, Giorgia, Porta, Federica, Ruggiero, Valeria, Trombini, Ilaria

“… Many optimization problems arising from machine learning applications can be cast as the minimization of the sum of two functions: the first one typically …”
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Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model von Liu, Yanjun, Xiao, Yongsong, Zhao, Xueliang

“… gradient algorithm, and then to derive the AM-MISG algorithm by expanding the scalar innovation to innovation vector and introducing the innovation length …”
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Highly Efficient Two-Stage Filtering-Based Maximum Likelihood Stochastic Gradient Algorithm for Multiple-Input Multiple-Output Systems von Wang, Huihui, Liu, Ximei

“… This paper focuses on investigating novel identification methods for multivariable systems interfered by colored noises. Through decomposing a multivariable …”
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Edge-Based Stochastic Gradient Algorithm for Distributed Optimization von Wang, Zheng, Li, Huaqing

“… An augmented Lagrange (AL) stochastic gradient algorithm is presented to address the distributed optimization problem, which is integrated with the factorization of weighted Laplacian and local unbiased stochastic averaging gradient methods …”
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Bias compensated stochastic gradient algorithm for identification of an ARX‐type nonlinear rational model and its application in modeling of the dynamic of the cellular toxicity von Jing, Shaoxue, Kiely, Janice, Luxton, Richard

“… To reduce the complexity of the identification, the stochastic gradient algorithm is used …”
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Wiener Systems Identification Using Forgetting Factor-Based Maximum Likelihood Stochastic Gradient Algorithm von Shi, Yangjing, Liu, Jing, Chen, Yangyang, Zhao, Chengbing

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A new filter‐based stochastic gradient algorithm for dual‐rate ARX models von Chen, Jing, Liu, Yanjun, Xu, Ling

“… Summary This paper proposes a new filter‐based stochastic gradient algorithm for dual …”
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Parameter identification of vertical plane model for autonomous underwater vehicle based on hierarchical multi-innovation stochastic gradient algorithm von Liu, Yang, Wang, Longjin, An, Shun, Liu, Peng, Fan, Zhimin

“… In this paper, the problem of online parameter identification of the vertical plane motion model for autonomous underwater vehicle (AUV) is investigated. The …”
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