Graph-Theory-Based Decentralized Adaptive Output-Feedback Control for a Class of Nonlinear Interconnected Systems

被引:19
|
作者
Li, Yuan-Xin [1 ,2 ]
Yang, Guang-Hong [1 ,3 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Liaoning Univ Technol, Dept Math, Jinzhou 121001, Peoples R China
[3] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive backstepping control; graph theory; large-scale systems; neural networks (NNs); unknown state-dependent interconnections; LARGE-SCALE SYSTEMS; STABILIZATION; TRACKING;
D O I
10.1109/TCYB.2018.2817281
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the problem of decentralized output feedback control for a class of interconnected systems with unknown state-dependent interconnections. First, we design a new form of K-filters with extra design parameters to compensate the unmeasurable states. Then by introducing a smooth function, we can design a decentralized output feedback control law by integrating the well-known backstepping framework. Furthermore, from the graph theory and Lyapunov function method, we analyze the stability and tracking property of the closed-loop systems. As an illustrative example, the proposed control scheme is applied to the controller design of a mass-spring-damper system.
引用
收藏
页码:2444 / 2453
页数:10
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