Adaptive Guaranteed-Performance Consensus Control for Multi-Agent Systems with an Adjustable Convergence Speed

被引：18
|
作者：
Ma, Haiying [1 ]
Jia, Xiao [2 ]
Cai, Ning [3 ]
Xi, Jianxiang [2 ]
机构：
[1] Northwest Minzu Univ, Sch Econ, Lanzhou 730030, Gansu, Peoples R China
[2] Rocket Force Univ Engn, Xian 710025, Shaanxi, Peoples R China
[3] Beijing Univ Posts & Telecommun, Sch Automat, Beijing 100876, Peoples R China
来源：
DISCRETE DYNAMICS IN NATURE AND SOCIETY | 2019年 / 2019卷
关键词：
DISTRIBUTED AVERAGE CONSENSUS; NETWORKS; SYNCHRONIZATION; ALGORITHM;
D O I：
10.1155/2019/5190301
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, adaptive guaranteed-performance consensus control problems for multiagent systems with an adjustable convergence speed are investigated. A novel adaptive guaranteed-performance consensus protocol is proposed, where the communication weights can be adaptively regulated. By the state space decomposition method and the stability theory, sufficient conditions for guaranteed-performance consensus are obtained and the guaranteed-performance cost is determined. Moreover, the lower bound of the convergence coefficient for multiagent systems is deduced, which is linearly adjustable approximately by changing the adaptive control gain. Finally, simulation examples are introduced to demonstrate theoretical results.
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页数：9
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