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Adaptive neural control for stochastic pure-feedback non-linear time-delay systems with output constraint and asymmetric input saturation 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 页码: 2288-2298
作者:  Si, Wenjie[1];  Dong, Xunde[1];  Yang, Feifei[1]
收藏  |  浏览/下载:27/0  |  提交时间:2019/04/24
control system synthesis  adaptive control  neurocontrollers  Lyapunov methods  delay systems  delays  approximation theory  convergence of numerical methods  hyperbolic equations  control nonlinearities  feedback  stochastic systems  nonlinear control systems  robust control  robust adaptive neural controller  stochastic pure-feedback nonlinear time-delay systems  output constraint  asymmetric input saturation  adaptive tracking control  input saturation nonlinearity  Gaussian error function  continuous differentiable asymmetric saturation model  barrier Lyapunov function  Lyapunov-Krasovskii functional  hyperbolic tangent functions  unknown time-delay terms  neural network  Lyapunov stability theory  learning parameters  closed-loop signals  4-moment semiglobally uniformly ultimately bounded  2-moment semiglobally uniformly ultimately bounded  tracking error  


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