Adaptive Fuzzy Event-Triggered Control for Leader-Following Consensus of High-Order Nonlinear Systems

被引：29

作者：

Wang, Wei ^{[1
]}

Li, Yongming ^{[2
]}

Tong, Shaocheng ^{[2
]}

机构：

[1] Liaoning Univ Technol, Sch Elect Engn, Jinzhou 121001, Peoples R China

[2] Liaoning Univ, Dept Math, Jinzhou 121001, Peoples R China

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2020年 / 28卷 / 10期

关键词：

Multi-agent systems; Control systems; Synchronization; Nonlinear dynamical systems; Topology; Adaptive fuzzy control; event-triggered control; high-order nonlinear system; leader-following consensus; LINEAR MULTIAGENT SYSTEMS; OUTPUT CONSENSUS; TRACKING CONTROL; NETWORK; SYNCHRONIZATION;

D O I：

10.1109/TFUZZ.2019.2936359

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article is concerned with the adaptive fuzzy event-triggered control for leader-following consensus of high-order nonlinear systems under directed communication topologies. Utilizing fuzzy logic systems to model the uncertain dynamics of the followers, a novel adaptive fuzzy event-triggered control law is presented, and a distributed event-trigger condition is proposed, simultaneously. The developed adaptive fuzzy event-triggered control is carried out by the violation of the designed event-trigger condition, which can realize ultimate state synchronization with bounded tracking errors. Moreover, the data transmissions and the frequency of the control law updates can be significantly reduced compared with the control law with fixed sampling period. In addition, it is proved that the Zeno behavior is excluded in the proposed control scheme. Finally, a simulation example is provided to illustrate the obtained theoretical results.

引用

页码：2389 / 2400

页数：12

共 43 条

[1] Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function [J].

Chen, Weisheng ;

Li, Xiaobo ;

Ren, Wei ;

Wen, Changyun .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (07) :1887-1892

[2] Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems with Uncertainties [J].

Cheng, Long ;

Hou, Zeng-Guang ;

Tan, Min ;

Lin, Yingzi ;

Zhang, Wenjun .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (08) :1351-1358

[3] Discrete time control based in neural networks for pendulums [J].

de Jesus Rubio, Jose .

APPLIED SOFT COMPUTING, 2018, 68 :821-832

[4] Distributed Event-Triggered Control for Multi-Agent Systems [J].

Dimarogonas, Dimos V. ;

Frazzoli, Emilio ;

Johansson, Karl H. .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (05) :1291-1297

[5] An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems [J].

Ding, Lei ;

Han, Qing-Long ;

Ge, Xiaohua ;

Zhang, Xian-Ming .

IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (04) :1110-1123

[6] Information flow and cooperative control of vehicle formations [J].

Fax, JA ;

Murray, RM .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2004, 49 (09) :1465-1476

[7] A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems [J].

Guo, Ge ;

Ding, Lei ;

Han, Qing-Long .

AUTOMATICA, 2014, 50 (05) :1489-1496

[8] Distributed observers design for leader-following control of multi-agent networks [J].

Hong, Yiguang ;

Chen, Guanrong ;

Bushnell, Linda .

AUTOMATICA, 2008, 44 (03) :846-850

[9] Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks [J].

Hou, Zeng-Guang ;

Cheng, Long ;

Tan, Min .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (03) :636-647

[10] Robust consensus tracking of a class of second-order multi-agent dynamic systems [J].

Hu, Guoqiang .

SYSTEMS & CONTROL LETTERS, 2012, 61 (01) :134-142

← 1 2 3 4 5 →