TY - GEN
T1 - Optimal regulation of stochastic cellular neural networks using differential minimax game
AU - Liu, Ziqian
AU - Torres, Raul E.
AU - Ansari, Nirwan
PY - 2010
Y1 - 2010
N2 - In this paper, we present an approach to optimally regulate stochastic cellular neural networks by using differential minimax game. In order to realize the design, we consider the vector of external inputs as a player and that of internal noises as an opposing player. The purpose of this study is to achieve the best rational stabilization in probability for stochastic cellular neural networks, and to attenuate noises to a predefined level with stability margins under an optimal control strategy. A numerical example is given to demonstrate the effectiveness of the proposed approach.
AB - In this paper, we present an approach to optimally regulate stochastic cellular neural networks by using differential minimax game. In order to realize the design, we consider the vector of external inputs as a player and that of internal noises as an opposing player. The purpose of this study is to achieve the best rational stabilization in probability for stochastic cellular neural networks, and to attenuate noises to a predefined level with stability margins under an optimal control strategy. A numerical example is given to demonstrate the effectiveness of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=77956570979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956570979&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2010.5548775
DO - 10.1109/MWSCAS.2010.5548775
M3 - Conference contribution
AN - SCOPUS:77956570979
SN - 9781424477715
T3 - Midwest Symposium on Circuits and Systems
SP - 1214
EP - 1217
BT - 2010 IEEE International 53rd Midwest Symposium on Circuits and Systems, MWSCAS 2010
T2 - 53rd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2010
Y2 - 1 August 2010 through 4 August 2010
ER -