An adaptive gain based approach for event-triggered state estimation with unknown parameters and sensor nonlinearities over wireless sensor networks

被引：27
作者：
Basit, Abdul [1 ]
Tufail, Muhammad [1 ]
Rehan, Muhammad [1 ]
机构：
[1] Pakistan Inst Engn & Appl Sci PIEAS, Dept Elect Engn, Islamabad, Pakistan
来源：
ISA TRANSACTIONS | 2022年 / 129卷
关键词：
State estimation; Adaptive coupling gains; Event-triggered mechanism; Parameter identification; Sensor nonlinearity; COMPLEX NETWORKS; SYSTEMS; FILTER; DESIGN;
D O I：
10.1016/j.isatra.2022.02.037
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The distributed state and parameter estimation problem is investigated in this paper for discrete -time nonlinear systems subject to sensor nonlinearities and stochastic disturbances over a wireless sensor network. A novel architecture for distributed state estimator is introduced that incorporates adaptive coupling gains to govern the information exchange between the sensor nodes under event -triggering mechanism. The aim of this paper is to provide a scalable structure for unknown parameter identification independent of sensor networks' complexity. The boundedness of estimation error is ensured in the framework of uniformly ultimately bounded stability by developing an algebraic connectivity based criterion. The estimator gains including proposed coupling gains are then presented as solution to matrix inequalities. Finally, two simulation examples are presented to demonstrate the effectiveness of proposed estimation architecture. (C) 2022 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：41 / 54
页数：14
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