Proceedings of the International Conference on Computer Information Systems and Industrial Applications

IOSS Control for A Class of Switched Hopfield Neural Networks with Disturbance Input

Authors
C.K Ahn
Corresponding Author
C.K Ahn
Available Online June 2015.
DOI
10.2991/cisia-15.2015.160How to use a DOI?
Keywords
input-output-to-state stable (IOSS) control; switched Hopfield neural network; disturbance input; linear matrix inequality (LMI) approach
Abstract

This paper is concerned with the input-output-to-state stable (IOSS) controller design for switched Hopfield neural networks with disturbance input. We propose a new set of linear matrix inequality (LMI) conditions to ascertain that switched Hopfield neural networks are IOSS based on a quadratic positive semi-definite function. Switched Hopfield neural networks without disturbance input are also asymptotically stable under an additional set of LMI conditions. The proposed IOSS controller can be determined by solving a set of LMIs, which can be checked by using existing numerical algorithms.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Computer Information Systems and Industrial Applications
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
10.2991/cisia-15.2015.160
ISSN
2352-538X
DOI
10.2991/cisia-15.2015.160How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - C.K Ahn
PY  - 2015/06
DA  - 2015/06
TI  - IOSS Control for A Class of Switched Hopfield Neural Networks with Disturbance Input
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 589
EP  - 591
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.160
DO  - 10.2991/cisia-15.2015.160
ID  - Ahn2015/06
ER  -