文件名称:01023016
- 所属分类：
- 编程文档
- 资源属性：
- [PDF]
- 上传时间：
- 2013-12-14
- 文件大小：
- 278kb
- 下载次数：
- 0次
- 提 供 者：
- blue m******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
This paper describes a modeling approach for
nonlinear dynamic systems based on a modified Volterra series
by comparing the truncation error of this series with that of the
classical Volterra one, we outlined that, under the assumption of
short-term nonlinear memory effects, the modified series enables
a single-fold nonlinear convolution integral to be adopted also in
the presence of strong nonlinearities. The measurement-based
identification of the first terms of the modified Volterra series is
described experimental and simulation results which confirm the
theoretical considerations are also provided.
Index Terms—Nonlinear dynamic model,-This paper describes a modeling approach for
nonlinear dynamic systems based on a modified Volterra series
by comparing the truncation error of this series with that of the
classical Volterra one, we outlined that, under the assumption of
short-term nonlinear memory effects, the modified series enables
a single-fold nonlinear convolution integral to be adopted also in
the presence of strong nonlinearities. The measurement-based
identification of the first terms of the modified Volterra series is
described experimental and simulation results which confirm the
theoretical considerations are also provided.
Index Terms—Nonlinear dynamic model,
nonlinear dynamic systems based on a modified Volterra series
by comparing the truncation error of this series with that of the
classical Volterra one, we outlined that, under the assumption of
short-term nonlinear memory effects, the modified series enables
a single-fold nonlinear convolution integral to be adopted also in
the presence of strong nonlinearities. The measurement-based
identification of the first terms of the modified Volterra series is
described experimental and simulation results which confirm the
theoretical considerations are also provided.
Index Terms—Nonlinear dynamic model,-This paper describes a modeling approach for
nonlinear dynamic systems based on a modified Volterra series
by comparing the truncation error of this series with that of the
classical Volterra one, we outlined that, under the assumption of
short-term nonlinear memory effects, the modified series enables
a single-fold nonlinear convolution integral to be adopted also in
the presence of strong nonlinearities. The measurement-based
identification of the first terms of the modified Volterra series is
described experimental and simulation results which confirm the
theoretical considerations are also provided.
Index Terms—Nonlinear dynamic model,
(系统自动生成,下载前可以参看下载内容)
下载文件列表
01023016.pdf