Adaptive Tracking Control for Stochastic Nonlinear Systems with Full-State Constraints and Unknown Covariance Noise
作者：
Highlights：
• An enhanced adaptive control method is extended to more general constrained stochastic nonlinear system with unknown covariance noise and parameters.
• A distinctive feature is that the adaptive technique is introduced to handle the unknown covariance noise and parameters simultaneously.
• An adaptive state-feedback controller is constructed by using backstepping, barrier Lyapunov function (BLF) and adaptive technique.
• The property of uniformly ultimately bound is obtained.
摘要
•An enhanced adaptive control method is extended to more general constrained stochastic nonlinear system with unknown covariance noise and parameters.•A distinctive feature is that the adaptive technique is introduced to handle the unknown covariance noise and parameters simultaneously.•An adaptive state-feedback controller is constructed by using backstepping, barrier Lyapunov function (BLF) and adaptive technique.•The property of uniformly ultimately bound is obtained.
论文关键词：Stochastic nonlinear systems,Full-state constraints,BLF,Adaptive control,Parametric Uncertainties
论文评审过程：Received 4 February 2020, Revised 20 April 2020, Accepted 17 May 2020, Available online 10 June 2020, Version of Record 10 June 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125397
