共 46 条
Distributed H∞ state estimation for switched sensor networks with packet dropouts via persistent dwell-time switching mechanism
被引:13
作者:
Wang, Jing
[1
]
Hu, Xiaohui
[1
]
Xia, Jianwei
[2
]
Park, Ju H.
[3
]
Shen, Hao
[1
]
机构:
[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China
[2] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China
[3] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 38541, South Korea
基金:
中国国家自然科学基金;
新加坡国家研究基金会;
关键词:
Switched sensor networks;
Distributed H-infinity state estimation;
Packet dropouts;
Persistent dwell-time switching mechanism;
LINEAR-SYSTEMS;
NEURAL-NETWORKS;
STABILITY;
SYNCHRONIZATION;
D O I:
10.1016/j.ins.2021.01.057
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 the distributed H-infinity state estimation problem for a class of sensor networks with switching characteristics, where the switchings of parameters are presumed to obey persistent dwell-time switching mechanism rather than dwell time or average dwell-time ones in the discrete-time context. For the purpose of tracking the unavailable state of the target plant, a sensor network is formed by employing multiple sensor nodes distributed in space and worked cooperatively under a specific connection topology. The intention of the paper mainly centers on deriving some sufficient criteria for the addressed model to achieve the exponential mean-square stability with a prescribed H-infinity performance, and the estimator gains corresponding to differently constructed estimators are further solved by means of the convex optimization method. Finally, the validity of the proposed approach is illustrated by a numerical example. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页码:256 / 268
页数:13
相关论文