Multi-model recursive identification for nonlinear systems with non-uniformly sampling

被引：10
作者：
Liu, Ranran [1 ,2 ]
Pan, Tianhong [2 ]
Li, Zhengming [2 ]
机构：
[1] Jiangsu Univ Technol, Sch Automot & Traff Engn, Changzhou 213001, Peoples R China
[2] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China
来源：
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2017年 / 20卷 / 01期
关键词：
Non-uniformly sampled-data; Nonlinear systems identification; Fuzzy c-mean cluster; Multi-model method; Recursive least squares; PARAMETER-IDENTIFICATION; ITERATIVE IDENTIFICATION; MODEL; ALGORITHM;
D O I：
10.1007/s10586-016-0688-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
recursive least squares based on Multi-model is proposed for non-uniformly sampled-data nonlinear (NUSDN) systems. The corresponding state space model of an NUSDN system is derived using lifting technique. Taking advantage of the Fuzzy c-Mean Clustering algorithm, NUSDN is divided into several local models. The basic idea is that the NUSDN system is viewed as a model switching system under a given rule. Once the local models are identified, the global model is determined. A pH neutralization process validate the performance of the proposed algorithm.
引用
收藏
页码：25 / 32
页数：8
相关论文
共 43 条
[1]  
Babuska R., 2003, Annual Reviews in Control, V27, P73, DOI 10.1016/S1367-5788(03)00009-9
[2]   An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems [J].
Bai, EW .
AUTOMATICA, 1998, 34 (03) :333-338
[3]  
Chen J., 2011, ADV INTELLIGENT SOFT, P43
[4]   Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search [J].
Chen, Jing ;
Lu, Xianling ;
Ding, Rui .
APPLIED MATHEMATICS AND COMPUTATION, 2012, 219 (05) :2498-2505
[5]   Multi-innovation stochastic gradient algorithms for dual-rate sampled systems with preload nonlinearity [J].
Chen, Jing ;
Lv, Lixing ;
Ding, Ruifeng .
APPLIED MATHEMATICS LETTERS, 2013, 26 (01) :124-129
[6]   Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities [J].
Chen, Jing ;
Wang, Xiuping ;
Ding, Ruifeng .
APPLIED MATHEMATICAL MODELLING, 2012, 36 (01) :238-243
[7]   Identification of Hammerstein nonlinear ARMAX systems [J].
Ding, F ;
Chen, TW .
AUTOMATICA, 2005, 41 (09) :1479-1489
[8]   Adaptive digital control of Hammerstein nonlinear systems with limited output sampling [J].
Ding, Feng ;
Chen, Tongwen ;
Iwai, Zenta .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2007, 45 (06) :2257-2276
[9]   Auxiliary model-based least-squares identification methods for Hammerstein output-error systems [J].
Ding, Feng ;
Shi, Yang ;
Chen, Tongwen .
SYSTEMS & CONTROL LETTERS, 2007, 56 (05) :373-380
[10]  
Ding F, 2006, NONLINEAR DYNAM, V45, P31, DOI 10.1007/s11071-006-1850-7
12345