Neurocomputing, volume 200, pages 80-87
Decentralized control of switched nonlinear large-scale systems with actuator dead zone
Publication type: Journal Article
Publication date: 2016-08-01
Journal:
Neurocomputing
Q1
Q1
SJR: 1.815
CiteScore: 13.1
Impact factor: 5.5
ISSN: 09252312, 18728286
Computer Science Applications
Artificial Intelligence
Cognitive Neuroscience
Abstract
This paper deals with the decentralized control problem for a class of switched nonlinear large-scale systems with immeasurable states and actuator dead-zone. A switched state observer is designed to obtain the estimation of the immeasurable states. Under the parallel distributed compensation (PDC) design method, an output feedback decentralized controller is developed. In addition, the switching laws are also designed via using the multiple Lyapunov function method. The sufficient conditions of ensuring the closed-loop systems asymptotic stabilization are given and transformed into standard solvable linear matrix inequality (LMI). An example is provided to illustrate the effectiveness of the suggested theoretical results.
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GOST
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Yang J., Yang W., Tong S. Decentralized control of switched nonlinear large-scale systems with actuator dead zone // Neurocomputing. 2016. Vol. 200. pp. 80-87.
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Yang J., Yang W., Tong S. Decentralized control of switched nonlinear large-scale systems with actuator dead zone // Neurocomputing. 2016. Vol. 200. pp. 80-87.
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TY - JOUR
DO - 10.1016/j.neucom.2016.03.014
UR - https://doi.org/10.1016/j.neucom.2016.03.014
TI - Decentralized control of switched nonlinear large-scale systems with actuator dead zone
T2 - Neurocomputing
AU - Yang, Jia
AU - Yang, Wei
AU - Tong, Shaocheng
PY - 2016
DA - 2016/08/01
PB - Elsevier
SP - 80-87
VL - 200
SN - 0925-2312
SN - 1872-8286
ER -
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@article{2016_Yang,
author = {Jia Yang and Wei Yang and Shaocheng Tong},
title = {Decentralized control of switched nonlinear large-scale systems with actuator dead zone},
journal = {Neurocomputing},
year = {2016},
volume = {200},
publisher = {Elsevier},
month = {aug},
url = {https://doi.org/10.1016/j.neucom.2016.03.014},
pages = {80--87},
doi = {10.1016/j.neucom.2016.03.014}
}