#### Filter Results:

- Full text PDF available (1)

#### Publication Year

2008

2011

- This year (0)
- Last 5 years (0)
- Last 10 years (9)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

- Li Yu, Jiabo Zhang, Yuwu Liao, Jie Ding
- Applied Mathematics and Computation
- 2008

- Lili Xiang, Linbo Xie, Yuwu Liao, Ruifeng Ding
- Mathematical and Computer Modelling
- 2010

- Yuwu Liao, Xianfang Wang, Ruifeng Ding
- 2008 International Conference on Computer Science…
- 2008

This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multi-input output-error systems by minimizing a quadratic cost function. The basic idea is to replace the unknown variables in the information vector with the outputs of an auxiliary model or estimated outputs and the analysis and simulation results indicate… (More)

- Yuwu Liao, Yanjun Liu, Rui Feng Ding
- 2010 2nd International Conference on Computer…
- 2010

This paper studies the convergence of the auxiliary model based stochastic gradient parameter estimation algorithm for multi-input output-error systems by using the martingale convergence theorem. The basic idea is to formulate a positive definite function of the parameter estimation error and to indicate that the parameter estimates converge to their true… (More)

- Heqiang Han, Guanglei Song, Yongsong Xiao, Yuwu Liao, Ruifeng Ding
- Applied Mathematics and Computation
- 2011

The auxiliary model based stochastic gradient (AM-SG) parameter estimation method is an important identification one. This paper analyzes the performances of the AM-SG estimation algorithm for multiple-input single-output systems (i.e., multivariable systems) under the strong persistent excitation condition. The analysis and simulation results indicate that… (More)

- Yuwu Liao, Dongqing Wang, Feng Ding
- 2009 WRI International Conference on…
- 2009

This paper uses an estimated noise transfer function to filter the input-output data and presents a filtering based recursive least squares algorithm for ARMAX models. Through the data filtering, we obtain two identification models, one including the parameters of the system model, and the other including the parameters of the noise model. Thus, the… (More)

This paper uses the polynomial transformation technique to transform an ARX model into a special model that can be identified with dual-rate input-output data, and presents the residual based stochastic gradient algorithm for dual-rate sampled-data systems, and studies convergence properties of the algorithm involved. The analysis indicates that the… (More)

- Yuwu Liao, Li Yu, Lili Xiang
- 2010 Fourth International Conference on Genetic…
- 2010

Since the multi-innovation stochastic gradient (MISG) method can produce highly accurate parameter estimates for linear regression models, this paper extends the MISG method to nonlinear regression models and presents an MISG algorithm for Hammer stein nonlinear CAR (ARX) systems with memory less nonlinear blocks followed by controlled autoregressive… (More)

- Yuwu Liao, Lili Xiang
- 2010 International Conference on Computational…
- 2010

A hierarchical parameter estimation algorithm is proposed to estimate the parameters of single-input multi-output (SIMO) system based on the auxiliary model. The key is to combine the auxiliary model identification idea and the hierarchical identification principle: decompose a system into two subsystems and replace the unknown variables in the information… (More)

- ‹
- 1
- ›