نتایج جستجو برای: second order model

تعداد نتایج: 3198145  

2017
Sheng-Lun Yi Xue-bo Jin Ting-Li Su Zhen-Yun Tang Fa-Fa Wang Na Xiang Jian-Lei Kong

Online denoising is motivated by real-time applications in the industrial process, where the data must be utilizable soon after it is collected. Since the noise in practical process is usually colored, it is quite a challenge for denoising techniques. In this paper, a novel online denoising method was proposed to achieve the processing of the practical measurement data with colored noise, and t...

Journal: :Automatica 1995
Francis J. Doyle Babatunde A. Ogunnaike Ronald K. Pearson

A nonlinear controller synthesis scheme is presented that retains the original spirit and characteristics of conventional (linear) model predictive control (MPC) while extending its capabilities to nonlinear systems. The scheme employs a Volterra model-a simple and convenient nonlinear extension of the linear convolution model employed by conventional MPC-and gives rise to a controller composed...

2016
Hou-biao Li Jun-yan Wang Hong-xia Dou

Restoring Poissonian noise images have drawn a lot of attention in recent years. There are many regularization methods to solve this problem and one of the most famous methods is the total variation model. In this paper, by adding a quadratic regularization on TGV regularization part, a new image restoration model is proposed based on second-order total generalized variation regularization. The...

Journal: :Small 2016
Sungho Kim Hee-Dong Kim Sung-Jin Choi

A key requirement for using memristors in functional circuits is a predictive physical model to capture the resistive switching behavior, which shall be compact enough to be implemented using a circuit simulator. Although a number of memristor models have been developed, most of these models (i.e., first-order memristor models) have utilized only a one-state-variable. However, such simplificati...

2012
Jonathan Rougier Michael Goldstein

The challenge of understanding complex systems often gives rise to a multiplicity of models. It is natural to consider whether the outputs of these models can be combined to produce a system prediction that is more informative than the output of any one of the models taken in isolation. And, in particular, to consider the relationship between the spread of model outputs and system uncertainty. ...

Journal: :Modelling 2023

Friction has long been an important issue in multibody dynamics. Static friction models apply appropriate regularization techniques to convert the stick inequality and non-smooth stick–slip transition of Coulomb’s approach into a continuous smooth function sliding velocity. However, regularized force is not able maintain long-term stick. That why dynamic were developed recent decades. The depen...

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