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 P. R. China (60572070, 60325311, 60534010) Natural Science Foundation of Liaoning Province (20022030)
The problem of track control is studied for a class of strict-feedback stochastic nonlinear systems in which unknown virtual control gain function is the main feature. First, the so-called stochastic LaSalle theory is...