Prescribed Performance Consensus of Uncertain Nonlinear Strict-Feedback Systems With Unknown Control Directions

被引：211
|
作者：
Wang, Wei [1 ,2 ]
Wang, Dan [1 ]
Peng, Zhouhua [1 ]
Li, Tieshan [3 ]
机构：
[1] Dalian Maritime Univ, Sch Marine Engn, Dalian 116026, Peoples R China
[2] Liaoning Univ Technol, Sch Elect Engn, Jinzhou 121001, Peoples R China
[3] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2016年 / 46卷 / 09期
基金：
中国博士后科学基金;
关键词：
Dynamic surface control (DSC); leader-following consensus; networked nonlinear systems; prescribed performance; unknown control direction; LEADER-FOLLOWING CONTROL; NEURAL-NETWORK CONTROL; MULTIAGENT SYSTEMS; COOPERATIVE CONTROL; TRACKING CONTROL; ADAPTIVE CONSENSUS; INFORMATION; SYNCHRONIZATION; TOPOLOGIES; DELAYS;
D O I：
10.1109/TSMC.2015.2486751
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, a leader-following consensus scheme is presented for networked uncertain nonlinear strict-feedback systems with unknown control directions under directed graphs, which can achieve predefined synchronization error bounds. Fuzzy logic systems are employed to approximate system uncertainties. A specific Nussbaum-type function is introduced to solve the problem of unknown control directions. Using a dynamic surface control technique, distributed consensus controllers are developed to guarantee that the outputs of all followers synchronize with that of the leader with prescribed performance. Based on Lyapunov stability theory, it is proved that all signals in closed-loop systems are uniformly ultimately bounded and the outputs of all followers ultimately synchronize with that of the leader with bounded tracking errors. Simulation results are provided to demonstrate the effectiveness of the proposed consensus scheme.
引用
收藏
页码：1279 / 1286
页数：8
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