NDLI: H ∞ filtering for a class of singular biological systems

Content Provider	IET Digital Library
Author	Zhao, Feng Zhang, Qingling Zhang, Yi
Abstract	This study deals with the H ∞ filtering problem for a class of singular biological systems with stochastic exogenous disturbance. Singular system theory is utilised to build a stochastic singular food chain system. The authors’ purpose is to estimate the unmeasurable state variables of the food chain system by the available measurements. The general condition is established for a class of non-linear singular systems to achieve input-to-state stable in mean and the prescribed H ∞ performance level. A sufficient condition of the solvability of filtering problem is proposed for the singular food chain system. Simulation example is provided to illustrate the effectiveness of the proposed filtering approach developed in this study.
Starting Page	2047
Ending Page	2055
Page Count	9
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 13, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.0050
Journal	IET Control Theory & Applications
Publisher Date	2015-06-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Filtering Problem Solvability H∞ Filter H∞ Filtering Problem H∞ Performance Level Input-to-state Stable System Nonlinear Singular System Predator-prey System Signal Processing Theory Singular System Theory Singular-biological System Statistics Stochastic Exogenous Disturbance Stochastic Linearised SCUC Stochastic Singular Food Chain System Sufficient Condition System Theory Application in Biology And Medicine System Theory Application in Natural ReSource And Ecology Unmeasurable State Variable Estimation
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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