文献类型：期刊文献

英文题名：Adaptive output feedback tracking control for switched non-strict-feedback non-linear systems with unknown control direction and asymmetric saturation actuators

作者：Dong, Yan[1];Yu, Zhaoxu[1];Li, Shugang[2];Li, Fangfei[3]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai, Peoples R China;[2]Shanghai Univ, Dept Informat Management, Shanghai, Peoples R China;[3]East China Univ Sci & Technol, Dept Math, Shanghai, Peoples R China

年份：2017

卷号：11

期号：15

起止页码：2539

外文期刊名：IET CONTROL THEORY AND APPLICATIONS

收录：;EI(收录号：20173904206038);WOS:【SCI-EXPANDED(收录号:WOS:000411257700016)】；

基金：The authors would like to appreciate the editors and reviewers for their valuable comments and kind help. This work is partly supported by the Natural Science Foundation of People's Republic of China (grant numbers 61304071, 61403139 and 71271132) and Fundamental Research Funds for the Central Universities (grant numbers 222201714055 and 222201717006).

语种：英文

外文关键词：Adaptive control systems - Navigation - Backstepping - Linear systems - Linear transformations - Actuators

摘要：The problem of adaptive tracking control is studied for a class of switched non-strict-feedback non-linear systems with unknown control direction and asymmetric saturation actuators under arbitrary switchings. The main technical difficulty comes from developing a common adaptive control scheme in the presence of unknown control direction and unknown asymmetric saturation non-linearities. A linear state transformation is exploited to deal with the unknown control coefficients and a Gaussian error function-based smooth model is used to approximate the asymmetric saturation non-linearity. Based on an input-driven observer, a common adaptive output-feedback control strategy containing only one adaptive parameter is developed for such systems via a novel combination of common Lyapunov function method, backstepping technique, variable separation approach and neural network approximation. Under the proposed control scheme, the tracking error converges to an adjustable neighbourhood of the origin. Finally, two illustrative examples are included to verify the effectiveness of the proposed control design.