搜索结果: 1-15 共查到“信息科学与系统科学 model”相关记录65条 . 查询时间(0.25 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:On a two dimensional nonlocal shallow-water model
二维 非局部 浅水模型 三维欧拉系统
2023/4/14
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Estimation of Common Factors for Microstructure Noise and Effcient Price in a High-frequency Dual Factor Model
高频双因子模型 微结构 噪声公因数 效率价格 估计
2023/4/17
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Distributed Order Estimation of ARX Model Under Cooperative Excitation Condition
协同 激励条件 ARX模型 分布式阶估计
2023/5/6
SCAN-TO-BIM vs 3D IDEAL MODEL HBIM: PARAMETRIC TOOLS TO STUDY DOMES GEOMETRY
Procedural Modeling HBIM Domes Parametric tools
2019/3/1
The contribution is part of an interdisciplinary research that aims to address the problems of knowledge, interpretation and documentation of vulnerable structures such as the brick Renaissance domes ...
DESPECKLING POLSAR IMAGES BASED ON RELATIVE TOTAL VARIATION MODEL
PolSAR, Despeckling Relative Total Variationl Wishart Measure PolRTV
2018/5/14
Relatively total variation (RTV) algorithm, which can effectively decompose structure information and texture in image, is employed in extracting main structures of the image. However, applying the RT...
CONSERVATION PROCESS MODEL (CPM): A TWOFOLD SCIENTIFIC RESEARCH SCOPE IN THE INFORMATION MODELLING FOR CULTURAL HERITAGE
Ontologies cultural heritage conservation BHIM scientific research
2017/6/20
The aim of the present research is to develop an instrument able to adequately support the conservation process by means of a twofold approach, based on both BIM environment and ontology formalisation...
ON TWO-STEP ESTIMATION OF A SPATIAL AUTOREGRESSIVE MODEL WITH AUTOREGRESSIVE DISTURBANCES AND ENDOGENOUS REGRESSORS
Cliff–Ord spatial model Generalized method of moments estimation Limited information estimation
2015/9/24
In this paper, we consider a spatial-autoregressive model with autoregressive disturbances,
where we allow for endogenous regressors in addition to a spatial lag of the dependent variable.
We sugges...
Consciousness,cognition,and the hierarchy of context:extending the global neuronal workspace model
asymptotic limit theorems cognition consciousness information theory phase transition renormalization
2015/7/30
We adapt an information theory analysis of interacting cognitive biological and social modules to the problem of the global neuronal workspace, the new standard neuroscience paradigm for consciousness...
Guaranteed Error Bounds for Model Reduction of Linear Time-Varying Systems
Time-Varying Systems Model Reduction
2015/6/19
New techniques are presented for the model reduction of linear time-varying and linear periodically-varying systems, including the formulation and proof of guaranteed upper bounds for the error. The c...
Structure-Preserving Model Reduction for Mechanical Systems
Mechanical Systems Model Reduction
2015/6/19
This paper focuses on methods of constructing of reduced-order models of mechanical systems which preserve the Lagrangian structure of the original system. These methods may be used in combination wit...
Error Bounds for Balanced Model Reduction of Linear Time-Varying Systems
Time-Varying Systems Model Reduction
2015/6/19
Error-bounds are developed for balanced truncation of linear time-varying systems, leading to an extension of the `twice the sum of the tail' formulae, well-known in the time-invariant case. The appro...
Dimensional Model Reduction in Non-Linear Finite Element Dynamics of Solids and Structures
Element Dynamics Model Reduction
2015/6/19
A general approach to the dimensional reduction of non-linear finite element models of solid dynamics is presented. For the Newmark implicit time-discretization, the computationally most expensive pha...
A Subspace Approach to Balanced Truncation for Model Reduction of Nonlinear Control Systems
Model Reduction Balanced Truncation
2015/6/19
In this paper we introduce a new method of model reduction for nonlinear control systems. Our approach is to construct an approximately balanced realization. The method requires only standard matrix c...
Model Reduction for Analysis of Cascading Failures in Power Systems
Power Systems Cascading Failures
2015/6/19
In this paper, we apply a principal-orthogonal decomposition based method to the model reduction of a hybrid, nonlinear model of a power network. The results demonstrate that the sequence of fault eve...
Decentralized Robust Control via Quadratically Invariant Model Projection
Projection Robust Control
2015/6/19
We propose a computational approach to systematically find decentralized H-infinity suboptimal controllers for general unstructured models. Exploiting the quadratically invariant model projection and ...