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 nonlinea...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.展开更多
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 dyn...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.展开更多
基金This research was partly supported by the Czech Science Foundation(No.GA19-05872S)。
文摘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.
文摘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.
