期刊
IET CONTROL THEORY AND APPLICATIONS
卷 11, 期 16, 页码 2716-2723出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2017.0321
关键词
variable structure systems; stochastic systems; nonlinear control systems; probability; reachability analysis; closed loop systems; error analysis; linear matrix inequalities; asymptotic stability; data-driven sliding mode tracking control; unknown Markovian jump nonlinear systems; mode-dependent data-driven sliding surface; high-order SMC strategy; data-based SMC law; SMC system reachability; linear matrix inequalities; closed-loop nonlinear MJS error tracking; asymptotic stochastically stability
资金
- National Natural Science Foundation of China [61573088, 61573087, 61433004]
This study aims to investigate the sliding mode control (SMC) problem for non-linear Markovian jump systems (MJSs) in which the transition probability could only be partly obtained and the system models and orders are unknown. Firstly, a mode-dependent data-driven sliding surface is established and by using the high-order SMC strategy, a data-based SMC law is proposed to guarantee the reachability of the SMC system. With the linear matrix inequalities technique, the tracking error of the closed-loop non-linear MJS is demonstrated to be asymptotically stochastically stable. Furthermore, a simulation experiment is carried out to prove the effectiveness of this method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据