Premium
Robust estimation of interconnected systems subject to sensor nonlinearities
Author(s) -
Mahmoud Magdi S.,
ALSunni Fouad M.
Publication year - 2012
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2045
Subject(s) - robustness (evolution) , control theory (sociology) , estimator , nonlinear system , quadratic equation , diagonal , lyapunov function , computer science , diagonal matrix , filter (signal processing) , linear system , mathematics , artificial intelligence , gene , mathematical analysis , biochemistry , chemistry , statistics , physics , control (management) , geometry , quantum mechanics , computer vision
SUMMARY An efficient robust LMI‐based scheme is developed for decentralized state‐estimation of linear interconnected systems with static nonlinear interconnections and subjected to sensor nonlinearities. The interconnections satisfy quadratic constraints with manipulated parameters and the sensor nonlinearities are modeled as sector nonlinearities. The design procedure utilizes a general linear estimator structure and consists of two steps: the first giving a block‐diagonal Lyapunov matrix together with the robustness degree and the second determining the filter parameters. A numerical example is provided to illustrate the applicability of the method. Copyright © 2012 John Wiley & Sons, Ltd.