Distributed bounded-error state estimation

Distributed bounded-error state estimation

This paper presents a distributed bounded-error state estimation algorithm suited, e.g., to measurement processing by a network of sensors. Contrary to centralized estimation, where all data are collected to a central processing unit, here, each data is processed locally by the sensor, the results are broadcasted to the network and taken into account by the other sensors. A first analysis of th...

Distributed Bounded-Error Parameter and State Estimation in Networks of Sensors

This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation, where all data are collected to a central processing unit, here, each data is processed locally by the sensor, the results are broadcasted to the network and taken into account by the other sensors. A first analysis...

Nonlinear bounded-error state estimation of continuous-time systems

Guaranteed State and Parameter Estimation for Nonlinear Continuous-Time Systems with Bounded-Error Measurements

A strategy for state and parameter estimation in nonlinear, continuous-time systems is presented. The method provides guaranteed enclosures of all state and parameter values that are consistent with bounded-error output measurements. Key features of the method are the use of a new validated solver for parametric ODEs, which is used to produce guaranteed bounds on the solutions of nonlinear dyna...

Nonlinear Parameter and State Estimation for Cooperative Systems in a Bounded-Error Context

This paper is about guaranteed nonlinear parameter and state estimation. Sets are computed that contain all possible values of the parameter (or state) vector given bounds on the acceptable errors. The main requirement is that the dynamical equations describing the evolution of the model can be bounded between cooperatives models, i.e., models such that the off-diagonal entries of their Jacobia...