NDLI: Distributed filtering for a class of periodic non-linear systems with jumping uncertainties and unreliable channels

Content Provider	IET Digital Library
Author	Tao, Jie Lu, Renquan Su, Hongye Wu, Zheng Guang Xu, Yong
Abstract	The problem of distributed filtering for discrete-time periodic non-linear systems over sensor networks in the presence of jumping uncertainties and unreliable channels is investigated in this study. A random variable which is subject to a Markov chain is introduced to govern the jumping uncertainties. Considering the unreliable channels between the system and filters, a discrete-time fading model is introduced to describe this channel fading phenomenon with the discrete probability distribution of each channel coefficients known a priori. On the basis of a fixed network topology, by establishing the periodic Lyapunov function, sufficient conditions on the existence of distributed filter are proposed to ensure the stability and dissipativity of the filtering error system. The distributed filter for discrete-time periodic non-linear systems is designed via solving a set of linear matrix inequalities. The merits and validity of the proposed design techniques are verified by means of a numerical simulation example.
Starting Page	846
Ending Page	856
Page Count	11
ISSN	17518644
Volume Number	11
e-ISSN	17518652
Issue Number	Issue 6, Apr (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/11/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2016.1096
Journal	IET Control Theory & Applications
Publisher Date	2017-01-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Channel Fading Phenomenon Discrete Control System Discrete Probability Distribution Discrete Time System Discrete-time Fading Model Discrete-time Periodic Nonlinear System Distributed Filtering Filtering Error System Filtering Theory Fixed Network Topology Jumping Uncertainties Linear Matrix Inequalities Lyapunov Method Markov Chain Markov Processes Nonlinear Control System Optimal Control Periodic Control Periodic Lyapunov Function Sensor Network Signal Processing Theory Stability in Control Theory Statistical Distribution Sufficient Condition Time Varying Control System Time Varying System Unreliable Channel
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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