Abstract
In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.
| Original language | English (US) |
|---|---|
| Title of host publication | Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry |
| Pages | 1109-1112 |
| Number of pages | 4 |
| DOIs | |
| State | Published - Oct 30 2013 |
| Event | 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 - Chongqing, China Duration: Sep 14 2013 → Sep 15 2013 |
Publication series
| Name | Applied Mechanics and Materials |
|---|---|
| Volume | 427-429 |
| ISSN (Print) | 1660-9336 |
| ISSN (Electronic) | 1662-7482 |
Other
| Other | 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 |
|---|---|
| Country | China |
| City | Chongqing |
| Period | 9/14/13 → 9/15/13 |
All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle. / Che, Yanqiu; Li, Ruixue X.; Yang, Tingting T.
Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. 2013. p. 1109-1112 (Applied Mechanics and Materials; Vol. 427-429).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Desynchronization of the chaotic-bursting neuronal ensemble based on LaSalle invariant principle
AU - Che, Yanqiu
AU - Li, Ruixue X.
AU - Yang, Tingting T.
PY - 2013/10/30
Y1 - 2013/10/30
N2 - In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.
AB - In this paper, an adaptive control scheme is presented for the desynchronization of a neuronal population based on LaSalle invariant principle. This control can asymptotically stabilize the mean field of the popolation at a fixed point to achieve desynchronization. A realistic model described by Hindmarsh-Rose equations is chosen as our example. The simulation results demonstrate the effectiveness of the proposed control scheme.
UR - http://www.scopus.com/inward/record.url?scp=84886443240&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886443240&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.427-429.1109
DO - 10.4028/www.scientific.net/AMM.427-429.1109
M3 - Conference contribution
AN - SCOPUS:84886443240
SN - 9783037858905
T3 - Applied Mechanics and Materials
SP - 1109
EP - 1112
BT - Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry
ER -