H∞ filtering for networked linear systems with multiple packet dropouts and random delays

被引:23
作者
Li, Xiu-Ying [1 ]
Sun, Shu-Li [1 ]
机构
[1] Heilongjiang Univ, Dept Automat, Harbin 150080, Peoples R China
基金
中国国家自然科学基金;
关键词
H-infinity filtering; Packet dropout; Random delay; Networked system; Linear matrix inequality; DISCRETE-TIME-SYSTEMS; STOCHASTIC-SYSTEMS; UNCERTAIN SYSTEMS; STATE ESTIMATION; ESTIMATORS; NONLINEARITIES; LOSSES; DESIGN;
D O I
10.1016/j.dsp.2015.07.008
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper is concerned with an H-infinity filtering problem for the network-based linear systems with multiple packet dropouts and random delays. Due to the limited bandwidths of communication channels, the measured outputs will be delayed or even be lost during the transmission from the sensor to the remote filter, where the delays are randomly varying but bounded and packet dropouts are possibly consecutive. Based on a recent developed model that describes the phenomena of packet dropouts and time delays simultaneously, an H-infinity filter is designed to ensure the filtering error system to be mean-square exponentially stable and guarantee a prescribed H-infinity filtering performance. A sufficient condition for the existence of such a filter is provided via a linear matrix inequality (LMI) method. The effectiveness and applicability of the proposed algorithm is demonstrated by a practical F-404 aircraft engine system. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:59 / 67
页数:9
相关论文
共 33 条
[1]   Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts [J].
Caballero-Aguila, R. ;
Hermoso-Carazo, A. ;
Linares-Perez, J. .
DIGITAL SIGNAL PROCESSING, 2012, 22 (06) :1118-1125
[2]   H∞ State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays [J].
Ding, Derui ;
Wang, Zidong ;
Shen, Bo ;
Shu, Huisheng .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 23 (05) :725-736
[3]   H∞ estimation for uncertain systems with limited communication capacity [J].
Gao, Huijun ;
Chen, Tongwen .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (11) :2070-2084
[4]   Robust H∞ static output feedback controller design for parameter dependent polynomial systems: An iterative sums of squares approach [J].
Krug, Matthias ;
Saat, Shakir ;
Sing Kiong Nguang .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2013, 350 (02) :318-330
[5]   Multi-sensor distributed fusion filtering for networked systems with different delay and loss rates [J].
Li, Na ;
Sun, Shuli ;
Ma, Jing .
DIGITAL SIGNAL PROCESSING, 2014, 34 :29-38
[6]   H∞ filtering for multiple channel systems with varying delays, consecutive packet losses and randomly occurred nonlinearities [J].
Li, Xiu-Ying ;
Sun, Shu-Li .
SIGNAL PROCESSING, 2014, 105 :109-121
[7]   Observer-based H∞ control for networked systems with bounded random delays and consecutive packet dropouts [J].
Li, Xiuying ;
Sun, Shuli .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2014, 24 (17) :2785-2802
[8]   Optimal Linear State Estimator With Multiple Packet Dropouts [J].
Liang, Yan ;
Chen, Tongwen ;
Pan, Quan .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2010, 55 (06) :1428-1433
[9]   Optimal H∞ fusion filters for a class of discrete-time intelligent systems with time delays and missing measurement [J].
Liu, Meiqin ;
Qi, Donglian ;
Zhang, Senlin ;
Qiu, Meikang ;
Zheng, Shiyou .
NEUROCOMPUTING, 2011, 74 (18) :3741-3752
[10]   Reliable H∞ filtering for discrete time-delay systems with randomly occurred nonlinearities via delay-partitioning method [J].
Liu, Yisha ;
Wang, Zidong ;
Wang, Wei .
SIGNAL PROCESSING, 2011, 91 (04) :713-727