Zobrazeno 1 - 10
of 1 741
pro vyhledávání: '"Cheng, Xiaodong"'
Autor:
Boersma, Sjoerd, Cheng, Xiaodong
Greenhouse production systems play a crucial role in modern agriculture, enabling year-round cultivation of crops by providing a controlled environment. However, effectively quantifying uncertainty in modeling greenhouse systems remains a challenging
Externí odkaz:
http://arxiv.org/abs/2407.02223
This paper proposes a model reduction approach for simplifying the interconnection topology of Lur'e network systems. A class of reduced-order models are generated by the projection framework based on graph clustering, which not only preserve the net
Externí odkaz:
http://arxiv.org/abs/2407.02202
This paper studies a structure-preserving model reduction problem for large-scale second-order dynamical systems via the framework of time-domain moment matching. The moments of a second-order system are interpreted as the solutions of second-order S
Externí odkaz:
http://arxiv.org/abs/2305.01254
Let $H$, $T$ and $C_n$ be a graph, a tree and a cycle of order $n$, respectively. Let $H^{(i)}$ be the complete join of $H$ and an empty graph on $i$ vertices. Then the Cartesian product $H\Box T$ of $H$ and $T$ can be obtained by applying zip produc
Externí odkaz:
http://arxiv.org/abs/2304.02266
Autor:
Cheng, Xiaodong
This paper presents a structure-preserving model reduction framework for linear systems, in which the $\mathcal{H}_2$ optimization is incorporated with the Petrov-Galerkin projection to preserve structural features of interest, including dissipativit
Externí odkaz:
http://arxiv.org/abs/2302.08627
This paper addresses the aggregated monitoring problem for large-scale network systems with a few dedicated sensors. Full state estimation of such systems is often infeasible due to unobservability and/or computational infeasibility. Therefore, throu
Externí odkaz:
http://arxiv.org/abs/2205.13633
This paper deals with dynamic networks in which the causality relations between the vertex signals are represented by linear time-invariant transfer functions (modules). Considering an acyclic network where only a subset of its vertices are measured
Externí odkaz:
http://arxiv.org/abs/2201.07548
This paper considers dynamic networks where vertices and edges represent manifest signals and causal dependencies among the signals, respectively. We address the problem of how to determine if the dynamics of a network can be identified when only par
Externí odkaz:
http://arxiv.org/abs/2105.03187
Publikováno v:
In Ocean Engineering 15 April 2024 298
Autor:
Cheng, Xiaodong, Ge, Hailong, Ma, Hexu, Zhu, Huihong, Yang, Tao, Tan, Xiangdong, Hou, Shuandi
Publikováno v:
In Fuel 15 April 2024 362