Distributed average tracking for double-integrator multi-agent systems with reduced requirement on velocity measurements

被引:63
作者
Ghapani, Sheida [1 ]
Ren, Wei [1 ]
Chen, Fei [2 ]
Song, Yongduan [3 ,4 ]
机构
[1] Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
[2] Xiamen Univ, Dept Automat, Xiamen 361005, Peoples R China
[3] Minist Educ, Cyber Phys Soc, Key Lab Dependable Serv Comp, Beijing, Peoples R China
[4] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Distributed average tracking; Cooperative control; Multi-agent systems; REFERENCE SIGNALS; CONSENSUS;
D O I
10.1016/j.automatica.2017.02.043
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 addresses distributed average tracking for a group of physical double-integrator agents under an undirected graph with reduced requirement on velocity measurements. The idea is that multiple agents track the average of multiple time-varying input signals, each of which is available to only one agent, under local interaction with neighbors. We consider two cases. First, a distributed algorithm and filter are proposed, where each agent needs its own and neighbors' filter outputs obtained through communication besides its local relative positions and its input signal, input velocity and input acceleration. Here, the requirement for either absolute or relative velocity measurements is removed. The algorithm is robust to initialization errors and can deal with a wide class of input signals with bounded deviations in input signals, input velocities, and input accelerations. Second, a distributed algorithm and filter are proposed to remove the requirement for communication. Here, each agent needs to measure the relative positions between itself and its neighbors and its own velocity. However, the requirement for relative velocity measurements between the agent and its neighbors is removed. The algorithm is robust to initialization errors and can deal with the case, where the input signals, input velocities and input accelerations are all bounded. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 24 条
[1]  
[Anonymous], 1988, Differential Equations with Discontinuous Righthand Sides
[2]   Distributed Consensus on Robot Networks for Dynamically Merging Feature-Based Maps [J].
Aragues, Rosario ;
Cortes, Jorge ;
Sagues, Carlos .
IEEE TRANSACTIONS ON ROBOTICS, 2012, 28 (04) :840-854
[3]   Robust Dynamic Average Consensus of Time-varying Inputs [J].
Bai, He ;
Freeman, Randy A. ;
Lynch, Kevin M. .
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, :3104-3109
[4]   Region-based shape control for a swarm of robots [J].
Cheah, Chien Chern ;
Hou, Saing Paul ;
Slotine, Jean Jacques E. .
AUTOMATICA, 2009, 45 (10) :2406-2411
[5]   Distributed Average Tracking for Reference Signals With Bounded Accelerations [J].
Chen, Fei ;
Ren, Wei ;
Lan, Weiyao ;
Chen, Guanrong .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (03) :863-869
[6]   Distributed Average Tracking of Networked Euler-Lagrange Systems [J].
Chen, Fei ;
Feng, Gang ;
Liu, Lu ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (02) :547-552
[7]  
Chen F, 2013, CHIN CONTR CONF, P6953
[8]   Distributed Average Tracking of Multiple Time-Varying Reference Signals With Bounded Derivatives [J].
Chen, Fei ;
Cao, Yongcan ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (12) :3169-3174
[9]  
Cortés J, 2008, IEEE CONTR SYST MAG, V28, P36, DOI 10.1109/MCS.2008.919306
[10]  
Edwards C., 1998, Sliding mode control: theory and applications