Adaptive filtered-ε inverse compensation of a nonlinear system

Huaijian Li; Xing Tao

doi:10.1109/ICCASE.2011.5997703

Adaptive filtered-ε inverse compensation of a nonlinear system

Huaijian Li^*, Xing Tao

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

An adaptive inverse control approach is put forward to control a kind of typical nonlinear system with hysteresis characteristic. An inverse of the hysteresis operator is proposed and the inverse nonlinear model is built. Then the structure of filtered-^ε LMS algorithm is simplified and a new adaptive inverse control system is built to reduce the nonlinearity and achieve accurate tracking control. Simulation results illustrate the proposed scheme's effectiveness.

Original language	English
Title of host publication	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011
DOIs	https://doi.org/10.1109/ICCASE.2011.5997703
Publication status	Published - 2011
Event	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 - Singapore, Singapore Duration: 30 Jul 2011 → 31 Jul 2011

Publication series

Name	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011

Conference

Conference	2011 International Conference on Control, Automation and Systems Engineering, CASE 2011
Country/Territory	Singapore
City	Singapore
Period	30/07/11 → 31/07/11

Keywords

Filtered-ε LMS algorithm
Hysteresis nonlinear
Tracking control

Access to Document

10.1109/ICCASE.2011.5997703

Cite this

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title = "Adaptive filtered-ε inverse compensation of a nonlinear system",

abstract = "An adaptive inverse control approach is put forward to control a kind of typical nonlinear system with hysteresis characteristic. An inverse of the hysteresis operator is proposed and the inverse nonlinear model is built. Then the structure of filtered-ε LMS algorithm is simplified and a new adaptive inverse control system is built to reduce the nonlinearity and achieve accurate tracking control. Simulation results illustrate the proposed scheme's effectiveness.",

keywords = "Filtered-ε LMS algorithm, Hysteresis nonlinear, Tracking control",

author = "Huaijian Li and Xing Tao",

year = "2011",

doi = "10.1109/ICCASE.2011.5997703",

language = "English",

isbn = "9781457708602",

series = "2011 International Conference on Control, Automation and Systems Engineering, CASE 2011",

booktitle = "2011 International Conference on Control, Automation and Systems Engineering, CASE 2011",

note = "2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 ; Conference date: 30-07-2011 Through 31-07-2011",

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Li, H & Tao, X 2011, Adaptive filtered-ε inverse compensation of a nonlinear system. in 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011., 5997703, 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011, 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011, Singapore, Singapore, 30/07/11. https://doi.org/10.1109/ICCASE.2011.5997703

Adaptive filtered-ε inverse compensation of a nonlinear system. / Li, Huaijian; Tao, Xing.
2011 International Conference on Control, Automation and Systems Engineering, CASE 2011. 2011. 5997703 (2011 International Conference on Control, Automation and Systems Engineering, CASE 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Li, Huaijian

AU - Tao, Xing

PY - 2011

Y1 - 2011

N2 - An adaptive inverse control approach is put forward to control a kind of typical nonlinear system with hysteresis characteristic. An inverse of the hysteresis operator is proposed and the inverse nonlinear model is built. Then the structure of filtered-ε LMS algorithm is simplified and a new adaptive inverse control system is built to reduce the nonlinearity and achieve accurate tracking control. Simulation results illustrate the proposed scheme's effectiveness.

AB - An adaptive inverse control approach is put forward to control a kind of typical nonlinear system with hysteresis characteristic. An inverse of the hysteresis operator is proposed and the inverse nonlinear model is built. Then the structure of filtered-ε LMS algorithm is simplified and a new adaptive inverse control system is built to reduce the nonlinearity and achieve accurate tracking control. Simulation results illustrate the proposed scheme's effectiveness.

KW - Filtered-ε LMS algorithm

KW - Hysteresis nonlinear

KW - Tracking control

UR - https://www.scopus.com/pages/publications/80052891407

U2 - 10.1109/ICCASE.2011.5997703

DO - 10.1109/ICCASE.2011.5997703

M3 - Conference contribution

AN - SCOPUS:80052891407

SN - 9781457708602

T3 - 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011

BT - 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011

T2 - 2011 International Conference on Control, Automation and Systems Engineering, CASE 2011

Y2 - 30 July 2011 through 31 July 2011

ER -

Adaptive filtered-ε inverse compensation of a nonlinear system

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Keywords

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