International audienceThis paper deals with the problem of distributedly estimating the state of an LTI plant through an interconnected network of agents. The proposed approach results in an observer structure that incorporates consensus among the agents and that can be distributedly designed, achieving a robust solution with a good estimation performance. The developed solution is based on an iterative decomposition of the plant in the local observable staircase forms. The proposed observer has several positive features compared to recent results in the literature, which include milder assumptions on the network connectivity and the ability to set the convergence rate
This thesis is a broad treatment of the distributed state estimation problem for linear systems. In ...
Motivated by the design of observers with good performance and robustness, the problem of estimating...
A simply structured distributed observer is described for estimating the state of a discrete-time, j...
International audienceThis paper deals with the problem of distributedly estimating the state of an ...
International audienceWe address distributed estimation of the state of a linear plant by a set of a...
International audienceThis paper presents an architecture for agent-based distributed state estimati...
This paper deals with the problem of estimating the distributed states of a plant using a set of in...
This paper deals with the problem of distributedly estimate the state of a plant through a network o...
This note investigates the distributed estimation problem for continuous-time linear time-invariant ...
State estimation of linear time-invariant (LTI) systems by using a network of distributed observers ...
State estimation for a class of nonlinear systems using a network of distributed observers is dealt ...
The aim of this paper is to provide a new observer structure able to deal with the distributed estim...
In a classical distributed framework, we present a novel distributed observer for nonlinear continu...
State estimation for a class of linear time-invariant systems with distributed output measurements (...
In this paper, we address the state estimation problem for multi-agent systems interacting in large ...
This thesis is a broad treatment of the distributed state estimation problem for linear systems. In ...
Motivated by the design of observers with good performance and robustness, the problem of estimating...
A simply structured distributed observer is described for estimating the state of a discrete-time, j...
International audienceThis paper deals with the problem of distributedly estimating the state of an ...
International audienceWe address distributed estimation of the state of a linear plant by a set of a...
International audienceThis paper presents an architecture for agent-based distributed state estimati...
This paper deals with the problem of estimating the distributed states of a plant using a set of in...
This paper deals with the problem of distributedly estimate the state of a plant through a network o...
This note investigates the distributed estimation problem for continuous-time linear time-invariant ...
State estimation of linear time-invariant (LTI) systems by using a network of distributed observers ...
State estimation for a class of nonlinear systems using a network of distributed observers is dealt ...
The aim of this paper is to provide a new observer structure able to deal with the distributed estim...
In a classical distributed framework, we present a novel distributed observer for nonlinear continu...
State estimation for a class of linear time-invariant systems with distributed output measurements (...
In this paper, we address the state estimation problem for multi-agent systems interacting in large ...
This thesis is a broad treatment of the distributed state estimation problem for linear systems. In ...
Motivated by the design of observers with good performance and robustness, the problem of estimating...
A simply structured distributed observer is described for estimating the state of a discrete-time, j...