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5. Time-Varying Asymmetrical BLFs Based Adaptive Finite-Time Neural Control of Nonlinear Systems With F

Time-Varying Asymmetrical BLFs Based Adaptive Finite-Time Neural Control of Nonlinear Systems With F

来源 :自动化学报:英文版 | 被引量 : 0次 | 上传用户：haihaiboyfei

【摘 要】

：

This paper concentrates on asymmetric barrier Lyapunov functions(ABLFs)based on finite-time adaptive neural network(NN)control methods for a class of nonlinear

【作 者】

：

Lei Liu Tingting Gao Yan-Jun L 

【机 构】

：

CollegeofScience,IEEE

【出 处】

：

自动化学报:英文版

【发表日期】

：

2020年5期

【关键词】

：

Barrier Lyapunov functions constrained control finite time stability neural cont 

【基金项目】

：

supported in part by the National Natural Science Foundation of China(61803190,61973147,61773188),Liaoning Revitalization Talents Program(XLYC1907050)

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This paper concentrates on asymmetric barrier Lyapunov functions(ABLFs)based on finite-time adaptive neural network(NN)control methods for a class of nonlinear strict feedback systems with time-varying full state constraints.During the process of backstep

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