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Constant-gain nonlinear adaptive observers revisited: an application to chemostat systems

Frontiers of Information Technology & Electronic Engineering 2021年第1期22卷 68-78页

作者： Jorge A.TORRES Arno SONCK sergej celikovsky Alma R.DOMINGUEZ Automatic Control Department CINVESTAVMexico City 07360Mexico The Czech Academy of Sciences Institute of Information Theory and AutomationPrague 18200Czech Republic Biotechnology and Bioengineering Department CINVESTAVMexico City 07360Mexico

This study deals with constant-gain adaptive observers for nonlinear systems,for which relatively few solutions are available for some particular cases.We introduce an asymptotic observer of constant gain for nonlinear systems that have linear input.This allows the observer design to be formulated within the linear matrix inequality paradigm provided that a strictly positive real condition bet ween the inpu t disturbance and the output is fulfilled.The proposed observer is t hen applied to a large class of nonlinear chemos tat dynamical systems that are widely used in the fermentation process,cell cultures,medicine,etc.In fact,under standard practical assumptions,the necessary change of the chemos tat state coordinates exis ts,allowing use of the const ant-gain observer.Finally,the developed theory is illustrated by estimating pollutant concentration in a Spirulina maxima wastewater treatment facility.

关键词： Nonlinear observers Adaptive observers Coordinate change Chemos tat Pollu taut observation

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Distributed filtering and control of complex networks and systems

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Frontiers of Information Technology & Electronic Engineering 2021年第1期22卷 1-4页

作者： Guanrong CHEN sergej celikovsky Lei GUO Youmin ZHANG Tiancheng LI Depariment of Electrical Engineering City University of Hong KongHong KongChina The Czech Academy of Sciences Institute of Imnformation Theory and AutomationPrague 18200Czech Republic School of Automation Science and Electrical Engineering Beihang UniversityBejjing 100191China Department of Mechanical Industrial and Aerospace EngineeringConcordia UniversitMontrealQuebec H3G 1M8Canada MOE Key Laboratory of Information Pusion Technology School ofAutomationNorthwestern Polytechnical UniversiyXi'an 710072China

In the last two decades,research on distributed filtering and control(FAC)has burgeoned into large-scale complex networks and systems.A distributed networked system,typically composed of a number of cost-effective dynamical nodes(agents)with limited sensing,computing,and communication capabilities,is gaining considerable popularity due to its low power consumption,simple installation,high performance,and strong reliability,as compared with the centralized setting.As a result,various networkinduced FAC systems,techniques,and algorithms have emerged,including node registration and control,network consensus and synchronization,multi-sensor data clustering/fusion,network topological design and analysis,and the like.

关键词： networks filtering network

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