Leader-Following Consensus of Non-linear Multi-agent Systems with Interval Time-Varying Delay via Impulsive Control

被引:24
作者
Ali, M. Syed [1 ]
Agalya, R. [1 ]
Orman, Zeynep [2 ]
Arik, Sabri [2 ]
机构
[1] Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India
[2] Istanbul Univ Cerrahpasa, Dept Comp Engn, Fac Engn, TR-34320 Istanbul, Turkey
关键词
Multi-agent systems (MASs); Leader following consensus; Impulsive control; HOPFIELD NEURAL-NETWORKS; 2ND-ORDER CONSENSUS; STABILITY ANALYSIS; PARAMETERS; INFORMATION; SYNCHRONIZATION; COMMUNICATION; DYNAMICS;
D O I
10.1007/s11063-020-10384-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this manuscript, the stability and consensus problem of the leader-following multi-agent system is studied. The state information of the leader is only available to the dynamics of all the followers, while the communication among the agents occurs at sampling instant. The innovative part of this paper is to reach the consensus and attain the stability for prescribed MASs with interval time varying delay using impulsive control in the presence of leader. The interaction between the agent is illustrated by an undirected graph. A class of distributed impulsive protocol relying on sampling information is suggested to reach the leader following consensus. The consensus is critically relying on the sampling period, control gains. By performing the similar procedures, the consensus problem of multi-agent system is converted to stability problem of the error system. By utilizing the stability theory of impulsive systems, algebraic graph theory, sufficient conditions are derived to guarantee the leader-following consensus of the multi-agent system. Terminally, a numerical example is given to show an efficacy of this presented approach and the sureness of theoretical analysis.
引用
收藏
页码:69 / 83
页数:15
相关论文
共 53 条
[1]   Decentralised event-triggered impulsive synchronisation for semi-Markovian jump delayed neural networks with leakage delay and randomly occurring uncertainties [J].
Ali, M. Syed ;
Vadivel, R. ;
Kwon, O. M. .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2019, 50 (08) :1636-1660
[2]   Robust stability of hopfield delayed neural networks via an augmented L-K functional [J].
Ali, M. Syed ;
Gunasekaran, N. ;
Rani, M. Esther .
NEUROCOMPUTING, 2017, 234 :198-204
[3]   State estimation of T-S fuzzy delayed neural networks with Markovian jumping parameters using sampled-data control [J].
Ali, M. Syed ;
Gunasekaran, N. ;
Zhu, Quanxin .
FUZZY SETS AND SYSTEMS, 2017, 306 :87-104
[4]   Improved delay-dependent robust H∞ control of an uncertain stochastic system with interval time-varying and distributed delays [J].
Ali, M. Syed ;
Saravanakumar, R. .
CHINESE PHYSICS B, 2014, 23 (12)
[5]   Stability of leaderless discrete-time multi-agent systems [J].
Angeli, David ;
Bliman, Pierre-Alexandre .
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2006, 18 (04) :293-322
[6]  
[Anonymous], 2003, CONTROL ENGN SER BIR
[7]   Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach [J].
Cao, Yongcan ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (01) :33-48
[8]   Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks [J].
Chen, C. L. Philip ;
Wen, Guo-Xing ;
Liu, Yan-Jun ;
Wang, Fei-Yue .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (06) :1217-1226
[9]  
Chen X, 2014, ABSTRACT APPL ANAL
[10]   Containment Control of Multiagent Systems With Dynamic Leaders Based on a PIn-Type Approach [J].
Cheng, Long ;
Wang, Yunpeng ;
Ren, Wei ;
Hou, Zeng-Guang ;
Tan, Min .
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (12) :3004-3017