Advanced Search

Query:

Fill in the form and click »Search«...

Format:

Display: entries per page entries

Zbl 1117.93314
Li, Kang; Peng, Jian-Xun; Bai, Er-Wei
A two-stage algorithm for identification of nonlinear dynamic systems. (English)
[J] Automatica 42, No. 7, 1189-1197 (2006). ISSN 0005-1098

Summary: This paper investigates the two-stage stepwise identification for a class of nonlinear dynamic systems that can be described by linear-in-the-parameters models, and the model has to be built from a very large pool of basis functions or model terms. The main objective is to improve the compactness of the model that is obtained by the forward stepwise methods, while retaining the computational efficiency. The proposed algorithm first generates an initial model using a forward stepwise procedure. The significance of each selected term is then reviewed at the second stage and all insignificant ones are replaced, resulting in an optimised compact model with significantly improved performance. The main contribution of this paper is that these two stages are performed within a well-defined regression context, leading to significantly reduced computational complexity. The efficiency of the algorithm is confirmed by the computational complexity analysis, and its effectiveness is demonstrated by the simulation results.

MSC 2000:: *93B30 System identification
93C10 Nonlinear control systems
68Q15 Complexity classes of computation
93C55 Discrete-time control systems

Keywords: system identification; nonlinear system; linear-in-the-parameters model; model structure selection; forward model selection; model refinement; computational complexity; model compactness

Comment on this Item PDF MathML XML ASCII DVI PS BibTeX Online Ordering Article Journal

	Scientific prize winners of the ICM 2010
	Overhang
	Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

Advanced Search

Zentralblatt MATH Berlin [Germany]