Least Squares Based Iterative Parameter Estimation for Output Nonlinear Systems with Piece-Wise Nonlinearities

被引：0
|
作者：
Chen Jing [1 ]
Zhang Yan [1 ]
Ding Feng [1 ]
机构：
[1] Wuxi Profess Coll Sci & Technol, Wuxi 214028, Peoples R China
来源：
2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年
关键词：
Saturation and Dead-zone; Least squares; Parameter estimation; Wiener model; SYLVESTER MATRIX EQUATIONS; IDENTIFICATION METHODS; PERFORMANCE ANALYSIS; LINEAR-SYSTEMS; WIENER SYSTEMS; ALGORITHMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a least squares based iterative parameter estimation algorithm for a class of output nonlinear systems with piece-wise nonlinearities (also called Wiener systems with saturation and dead-zone nonlinearities). A Wiener nonlinear system can be transformed into a special quasi-linear model by using a decomposition technique. The proposed least squares algorithm can estimate all the parameters of the whole nonlinear systems from all the input-output data. An illustrative example is included.
引用
收藏
页码：1438 / 1441
页数：4
相关论文
共 50 条
  • [1] Recursive least squares algorithm for nonlinear systems with piece-wise linearities
    Yuan, Huijuan
    [J]. SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS II, PTS 1 AND 2, 2014, 475-476 : 960 - 963
  • [2] Piece-wise moving least squares approximation
    Li, Wen
    Song, Guohui
    Yao, Guangming
    [J]. APPLIED NUMERICAL MATHEMATICS, 2017, 115 : 68 - 81
  • [3] Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition
    Ding, Feng
    Wang, Xuehai
    Chen, Qijia
    Xiao, Yongsong
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2016, 35 (09) : 3323 - 3338
  • [4] Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition
    Feng Ding
    Xuehai Wang
    Qijia Chen
    Yongsong Xiao
    [J]. Circuits, Systems, and Signal Processing, 2016, 35 : 3323 - 3338
  • [5] LEAST-SQUARES NONLINEAR PARAMETER ESTIMATION BY ITERATIVE CONTINUATION METHOD
    KIRSZENBLAT, A
    CHETRIT, M
    [J]. AIAA JOURNAL, 1974, 12 (12) : 1751 - 1752
  • [6] Data Filtering Based Recursive and Iterative Least Squares Algorithms for Parameter Estimation of Multi-Input Output Systems
    Ding, Jiling
    [J]. ALGORITHMS, 2016, 9 (03):
  • [7] Piece-wise constant predictive feedback control of nonlinear systems
    Armaou, Antonios
    Ataei, Armin
    [J]. JOURNAL OF PROCESS CONTROL, 2014, 24 (04) : 326 - 335
  • [8] A two-stage least squares based iterative parameter estimation algorithm for feedback nonlinear systems based on the model decomposition
    Hu, Peipei
    Xiao, Yongsong
    Ding, Rui
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 5446 - 5450
  • [9] State observer for linear systems with piece-wise constant output delays
    Subbarao, K.
    Muralidhar, P. C.
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2009, 3 (08): : 1017 - 1022
  • [10] Decomposition based least squares iterative estimation algorithm for output error moving average systems
    Zhang, Wenge
    [J]. ENGINEERING COMPUTATIONS, 2014, 31 (04) : 709 - 725
12345