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Concept

Observability

Publications associées (15)

Predictors and predictands of linear response in spatially extended systems

Umberto Maria Tomasini

The goal of response theory, in each of its many statistical mechanical formulations, is to predict the perturbed response of a system from the knowledge of the unperturbed state and of the applied perturbation. A new recent angle on the problem focuses on ...

SPRINGER HEIDELBERG2021

Adaptive model predictive control for linear time varying MIMO systems

Vojislav Gligorovski

A robust, adaptive Model Predictive Control (MPC) approach for asymptotically stable, constrained linear time-varying (LTV) systems with multiple inputs and outputs is proposed. The approach consists of two-steps, carried out on-line with a receding horizo ...

2019

Moving Horizon Demand and State Estimation for Model Predictive Perimeter Control of Large-scale Urban Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state and inflow demands, both requiring information about the origins and destinations of drivers. Such assumptio ...

IEEE2019

Nonlinear Moving Horizon Estimation for Large-Scale Urban Road Networks

Nikolaos Geroliminis, Isik Ilber Sirmatel

Perimeter control schemes proposed to alleviate congestion in large-scale urban networks usually assume perfect knowledge of the accumulation state together with current and future inflow demands, requiring information about the origins and destinations (O ...

IEEE Institute of Electrical and Electronics Engineers2020

Range-based underwater target localization using an autonomous surface vehicle: Observability analysis

In the field of marine robotics, the problem of range based underwater target localization can be defined as that of localizing an unknown - fixed or moving - target from a surface vehicle called the tracker, using range information available about the tar ...

2018

Optimal Sensor Architecture Selection for Health Management of Complex Systems

Martin Vetterli, Juri Ranieri

With technological progress, humans tend to create engineering systems with constantly increasing complexity and higher operational requirements. Many complex systems require the use of a Health Management (HM) solution to ensure safety and enable lifecycl ...

Ieee2016

Studies of the resonance structure in D-0 -> (KSK +/-)-K-0 pi(-/+) decays

Jian Wang, Olivier Schneider, Zhirui Xu, Yiming Li, Yi Zhang, Lei Zhang, Aurelio Bay, Guido Haefeli, Jessica Prisciandaro, Tatsuya Nakada, Christoph Frei, Mark Tobin, Frédéric Blanc, Minh Tâm Tran, Michel De Cian, Greig Alan Cowan, Maurizio Martinelli, Donal Patrick Hill, Liang Sun, Pietro Marino, Luca Pescatore, Mirco Dorigo, Sebastiana Gianì, Liupan An, Elena Graverini, Federico Leo Redi, Chitsanu Khurewathanakul, Ilya Komarov, Renato Quagliani, Maxime Schubiger, Guido Andreassi, Bastien Luca Muster, Violaine Bellée, Maria Vieites Diaz, Frédéric Guillaume Dupertuis, Olivier Göran Girard, Axel Kuonen, Julien Rouvinet, Albert Puig Navarro, Alessandro Mapelli, Lucía Castillo García

Amplitude models are applied to studies of resonance structure in D-0 -> (KSK-)-K-0 pi(+) and D-0 -> (KSK+)-K-0 pi(-) decays using pp collision data corresponding to an integrated luminosity of 3.0 fb(-1) collected by the LHCb experiment. Relative magnitud ...

American Physical Society2016

Observability analysis of 3D AUV trimming trajectories in the presence of ocean currents using range and depth measurements

We analyze the observability properties of the kinematic model of an autonomous underwater vehicle (AUV) moving in 3D, under the influence of ocean currents, using range and depth measurements. The results obtained shed light into the types of trajectories ...

Pergamon-Elsevier Science Ltd2015

Optimization Based Control for Target Estimation and Tracking via Highly Observable Trajectories An Application to Motion Control of Autonomous Robotic Vehicles

Colin Neil Jones, Andrea Alessandretti

This paper proposes a Model Predictive Control (MPC) scheme to solve the target estimation and tracking problem. The objective is to derive a feedback law that drives an autonomous robotic vehicle to follow a target vehicle using an on-line estimate of the ...

Springer-Verlag Berlin2015

Quantum description of a rotating and vibrating molecule

Jean-Philippe Ansermet, Sylvain Bréchet, François Reuse, Klaus Maschke

A rigorous quantum description of molecular dynamics with a particular emphasis on internal observables is developed accounting explicitly for kinetic couplings between nuclei and electrons. Rotational modes are treated in a genuinely quantum framework by ...

Springer Verlag2015

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

Alireza Karimi, Achille Nicoletti

A new method for robust fixed-order H∞ controller design for uncertain time-delayed MIMO systems is presented. It is shown that the H∞ robust performance condition can be represented by a set of convex constraints with respect to the parameters of a linear ...

IEEE2014

Measurement of Form-Factor-Independent Observables in the Decay B-0 -> K*(0)mu(+)mu(-)

Jian Wang, Olivier Schneider, Yiming Li, Yi Zhang, Lei Zhang, Aurelio Bay, Guido Haefeli, Jessica Prisciandaro, Tatsuya Nakada, Christoph Frei, Mark Tobin, Frédéric Blanc, Minh Tâm Tran, Michel De Cian, Greig Alan Cowan, Maurizio Martinelli, Vladislav Balagura, Donal Patrick Hill, Liang Sun, Pietro Marino, Luca Pescatore, Jean Wicht, Ilya Komarov, Plamen Hristov Hopchev, Bastien Luca Muster, Frédéric Guillaume Dupertuis, Julien Rouvinet, Pierre Jaton, Barinjaka Rakotomiaramanana, Joël Bressieux, Songmei Wu, Raluca Anca Muresan, Johan Luisier, Anne Keune, Andrei Martynov

We present a measurement of form-factor-independent angular observables in the decay B-0 -> K*(892)(0)mu(+)mu(-). The analysis is based on a data sample corresponding to an integrated luminosity of 1.0 fb(-1), collected by the LHCb experiment in pp collisi ...

Amer Physical Soc2013

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

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

General state-space models : randomised quasi-Monte Carlo methods for general Kalman recursion

Thomas Gsponer

In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...

EPFL2004