Concept

Observability

Publications associées (33)

Distributed bounded-error state estimation for partitioned systems based on practical robust positive invariance

We propose a partition-based state estimator for linear discrete-time systems composed by coupled subsystems affected by bounded disturbances. The architecture is distributed in the sense that each subsystem is equipped with a local state estimator that ex ...

2013

Plug-and-play distributed state estimation for linear systems

Giancarlo Ferrari Trecate, Marcello Farina

This paper proposes a state estimator for large-scale linear systems described by the interaction of state-coupled subsystems affected by bounded disturbances. We equip each subsystem with a Local State Estimator (LSE) for the reconstruction of the subsyst ...

2013

Plug-and-play distributed state estimation for linear systems

Giancarlo Ferrari Trecate, Marcello Farina

2013

Closed-loop identication of MIMO systems: a new look at identifiability and experiment design

Ljubisa Miskovic

This paper addresses a question that has been posed to us:“Is it necessary to excite all reference signals for the identification of a multivariable system operating in closed loop with a linear time-invariant controller?” In this paper we follow a careful ...

2010

Distributed Moving Horizon Estimation for Linear Constrained Systems

Giancarlo Ferrari Trecate, Marcello Farina

This paper presents a novel distributed estimation algorithm based on the concept of moving horizon estimation. Under weak observability conditions we prove convergence of the state estimates computed by any sensors to the correct state even when constrain ...

2010

Distributed moving horizon estimation for sensor networks

Giancarlo Ferrari Trecate, Marcello Farina

This paper focuses on distributed state estimation using a sensor network for monitoring a linear system. In order to account for physical constraints on process states and inputs, we propose a moving horizon approach where each sensor has to solve a quadr ...

2009

A moving horizon scheme for distributed state estimation

Giancarlo Ferrari Trecate, Marcello Farina

2009

Parameter Identification to Enforce Practical Observability of Nonlinear Systems

Dominique Bonvin, Levente Bodizs

The sensitivity of the unmeasured state variables to the measurements strongly affects the rate of convergence of a state estimation algorithm. To overcome potential observability problems, the approach has been to identify the model parameters so as to re ...

2007

Observability analysis and state observers for automotive powertrains with backlash: a hybrid system approach

Giancarlo Ferrari Trecate

In this paper, the observability properties of automotive powertrains with backlash are analysed. We model the powertrain as a hybrid system in the piecewise affine form and use measurements of the torque and the angular speed of the engine for computing t ...

2006

Probabilistic analysis of turbulent structures from two-dimensional plasma imaging

Ambrogio Fasoli, Ivo Furno, Benoît Labit, Mario Ludovico Podesta, Francesca Maria Poli, Gennady Plyushchev

A method is presented to construct object-related structure observables, such as size, mass, shape, and trajectories from two-dimensional plasma imaging data. The probability distributions of these observables, deduced from measurements of many realization ...

2006

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