Approximation-based Finite-time Adaptive Control for MIMO Stochastic Nonlinear Systems and Its Application to NSVs

被引：0
|
作者：
Yan, Xiaohui [1 ,2 ]
Shao, Shuyi [2 ]
Shao, Guiwei [1 ]
Yang, Qingyun [3 ]
机构：
[1] Hefei Univ, Sch Artificial Intelligence & Big Data, Hefei 230601, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China
[3] Zaozhuang Univ, Sch Mech & Elect Engn, Zaozhuang 277160, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
基金：
中国国家自然科学基金;
关键词：
EC polynomials; Stochastic nonlinear systems; Finite-time control; Adaptive control; NSVs; STABILIZATION; STABILITY; TRACKING; DRIVEN; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, based on exponential Chebyshev (EC) polynomials, an approximation-based finite-time robust tracking control approach is proposed for MIMO stochastic nonlinear systems. To handle the unknown continuous functions, EC polynomials are utilized to estimate the unknown nonlinear functions with arbitrary precision. Combining with backstepping method, the finite-time robust stochastic controller is designed, and the designed control approach can ensure that all the closed-loop system signals are semi-global finite-time stable in probability (SGFSP). Consider the near space vehicles (NSVs) with stochastic input noise, the simulation results of the NSVs attitude motion show the effectiveness of the proposed approach.
引用
收藏
页码：6923 / 6928
页数：6
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