Zobrazeno 1 - 10
of 56 358
pro vyhledávání: '"identification algorithm"'
Sparse system identification of nonlinear dynamic systems is still challenging, especially for stiff and high-order differential equations for noisy measurement data. The use of highly correlated functions makes distinguishing between true and false
Externí odkaz:
http://arxiv.org/abs/2410.10023
Publikováno v:
Urban Mass Transit. 2024, Vol. 27 Issue 8, p74-78. 5p.
Causal inference is made challenging by confounding, selection bias, and other complications. A common approach to addressing these difficulties is the inclusion of auxiliary data on the superpopulation of interest. Such data may measure a different
Externí odkaz:
http://arxiv.org/abs/2404.06602
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 8, Pp 74-78 (2024)
Objective Contact force is a crucial aspect of comprehensive detection in the rail transit PC (pantograph-catenary) system and serves as an important evaluation factor of PC system performance. However, during the detection process, the external envi
Externí odkaz:
https://doaj.org/article/841b03bf22c8480e85b13bce34b1c2fe
Akademický článek
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In this paper an adaptive state observer and parameter identification algorithm for a linear time-varying system are developed under condition that the state matrix of the system contains unknown time-varying parameters of a known form. The state vec
Externí odkaz:
http://arxiv.org/abs/2402.13772
Autor:
Wang, Ziming, Zhu, Xinghua
This paper studies the sparse identification problem of unknown sparse parameter vectors in stochastic dynamic systems. Firstly, a novel sparse identification algorithm is proposed, which can generate sparse estimates based on least squares estimatio
Externí odkaz:
http://arxiv.org/abs/2404.00199
In this paper, we consider stochastic realization theory of Linear Switched Systems (LSS) with i.i.d. switching. We characterize minimality of stochastic LSSs and show existence and uniqueness (up to isomorphism) of minimal LSSs in innovation form. W
Externí odkaz:
http://arxiv.org/abs/2403.14259
Autor:
Wang, Yangyang1,2 (AUTHOR) 12012139@zju.edu.cn, Yan, Shoujing2,3 (AUTHOR) wujj0329@163.com, Xi, Chenchen2,3 (AUTHOR) weijintao2020@163.com, Yu, Zhi4 (AUTHOR) yuzhirenzhe@zju.edu.cn, Zhou, Chunpeng4 (AUTHOR) zhoucp@zju.edu.cn, Chi, Fengxia2,3 (AUTHOR), Wei, Jintao2,3 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6757. 14p.