合 作 者
期刊 & 会议
 
年  份
 
Martin Enqvist 的论文(13) 排序方式:
Linear approximations of nonlinear FIR systems for separable input processes  
Nonlinear systems can be approximated by linear time-invariant (LTI) models in many ways. Here, LTI models that are optimal approximations in the mean-square error sense are analyzed. A necessary and ......
Automatica  2005
12次引用 0 0
Some Results on Linear Models of Nonlinear Systems  
8次引用 0 0
LTI APPROXIMATIONS OF SLIGHTLY NONLINEAR SYSTEMS: SOME INTRIGUING EXAMPLES  
Approximations of slightly nonlinear systems with linear time-invariant (LTI) models are often used in applications. Here, LTI models that are optimal approximations in the mean-square error sense are......
 2004
3次引用 0 0
Linear Models of Nonlinear FIR Systems with Gaussian Inputs  
Abstract We show a result that can be viewed as a generalization of Bussgang’s classic theorem about static nonlinearities with Gaussian inputs. This new result is used to characterize the best linear......
2次引用 0 0
Difference algebra and system identification  
The framework of differential algebra, especially Ritt’s algorithm, has turned out to be a useful tool when analyzing the identifiability of certain nonlinear continuous-time model structures. This fr......
Automatica  2011
0次引用 0 0
Benefits of the Input Minimum Phase Property for Linearization of Nonlinear Systems  
Abstract Linear approximations,of nonlinear systems,can be obtained,by fitting a linear model to data from a nonlinear system, for example, using the prediction-error method. In many situations, the t......
 2005
0次引用 0 0
Consistent Nonparametric Estimation of NARX Systems Using Convex Optimization  
Abstract In this paper, a nonparametric method based on quadratic programming (QP) for identification of nonlinear,autoregressive,systems,with exogenous,inputs (NARX systems) is presented. We consider......
0次引用 0 0
A Weighting Method for Approximate Nonlinear System Identification  
Abstract Many approximation,results in nonlinear system identification concern par- ticular signal distributions. This seems to limit the applicability of these results to cases where the relevant sig......
0次引用 0 0
Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach  
In order to accurately identify linear parameter-varying (LPV) systems, order selection of LPV linear regression models has prime importance. Existing identification approaches in this context suffer ......
Conference on Decision and Control  2009
0次引用 0 0
Handling Certain Structure Information in Subspace Identification  
The prediction-error approach to parameter estimation of linear models often involves solving a non-convex optimization problem. In some cases, it is therefore dicult to guarantee that the global opti......
0次引用 0 0

1/2 第一页 上一页 1 2 下一页
Feedback
Feedback
Feedback
我想反馈:
排行榜