Supported by National Natural Science Foundation of China(61104222,61305149);Natural Science Foundation of JiangsuProvince(BK2011205);333 High-Level Talents Training Program inJiangsu Province;Program for Fundamental Research of Natural Sciences in Universities of Jiangsu Province(11KJB510026);Natural Science Foundation of Jiangsu Normal University(11XLR08)
This paper focuses on investigating the issue of adaptive state-feedback control based on neural networks(NNs)for a class of high-order stochastic uncertain systems with unknown nonlinearities. By introducing the radi...
Supported by National Natural Science Foundation of China(61273125,61473171);Program for the Scientific Research Innovation Team in Colleges and Universities of Shandong Province;Shandong Provincial Natural Science Foundation(ZR2012FM018)
In this paper, the problem of state feedback stabilization for stochastic feedforward nonlinear systems with input time-delay is considered for the first time. By introducing a variable transformation, skillfully comb...
Supported by National Natural Science Foundation of China(60904026);the Program for New Century Excellent Talents in University;the Graduate Innovation Program of Jiangsu Province(CX09B-051Z);the Scientific Research Foundation of Graduate School of Southeast University (YBJJ0929)
In this paper,an improved mean-square exponential stability condition and delayed-state-feedback controller for stochastic Markovian jump systems with mode-dependent time-varying state delays are obtained. First,by co...