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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
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 ...
Feedback and Optimal Sensitivity: Model Reference Transformations, Multiplicative Seminorms, and Approximate Inverses
Feedback and Optimal Sensitivity Model Reference Transformations Multiplicative Seminorms Approximate Inverses
2014/8/13
In this paper, the problem of sensitivity reduction by feed-back is formulated as an optimization problem and separated from the problem of stabilization. Stable feedback schemes obtainable from a giv...
Feedback and Optimal Sensitivity: Model Reference Transformations, Multiplicative Seminorms, and Approximate Inverses
Feedback and Optimal Sensitivity Model Reference Transformations Multiplicative Seminorms Approximate Inverses
2014/7/2
In this paper, the problem of sensitivity reduction by feedback is formulated as an optimization problem and separated from the problem of stabilization. Stable feedback schemes obtainable from ag ive...
Improved Fluid-Model of TCP/AQM Network for Congestion Control
Fluid-Model Congestion Control TCP/AQM Network
2009/9/24
In this paper, recently proposed active queue management (AQM) algorithms for supporting end-to-end trans-
mission control protocol (TCP) congestion control is revisited. We focus recently devel...
ON CONVERGENCE AND RATE OF CONVERGENCE OF ALGORITHMS IN THE MOVER-STAYER MODEL
Mover-stayer model algorithms converge
2007/12/17
The convergence and rate of convergence of an iterative method of Wang and Scott[1] for obtaining maximum likelihood estimates for contingency tables derived from a mover-stayer model are discussed.