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/).
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 -