output
20152022
most citedNonlinear Unknown Input Observability and Unknown Input Reconstruction: The General Analytical Solution

12 citations

5 papers

eess.SY2022

Identifiability of nonlinear ODE Models with Time-Varying Parameters: the General Analytical Solution and Applications in Viral Dynamics

Agostino Martinelli

Identifiability is a structural property of any ODE model characterized by a set of unknown parameters. It describes the possibility of determining the values of these parameters f…

math.OC2022★ 12 cited

Nonlinear Unknown Input Observability and Unknown Input Reconstruction: The General Analytical Solution

Agostino Martinelli

Observability is a fundamental structural property of any dynamic system and describes the possibility of reconstructing the state that characterizes the system from observing its…

cs.AI2020★ 1 cited

On Bellman's Optimality Principle for zs-POSGs

Olivier Buffet, Jilles Dibangoye, Aurélien Delage +2

Many non-trivial sequential decision-making problems are efficiently solved by relying on Bellman's optimality principle, i.e., exploiting the fact that sub-problems are nested rec…

stat.ML2018

Building Prior Knowledge: A Markov Based Pedestrian Prediction Model Using Urban Environmental Data

Pavan Vasishta, Dominique Vaufreydaz, Anne Spalanzani

Autonomous Vehicles navigating in urban areas have a need to understand and predict future pedestrian behavior for safer navigation. This high level of situational awareness requir…

math.OC2015★ 1 cited

Nonlinear Unknown Input Observability: The Analytic Solution in the case of a Single Unknown Input

Agostino Martinelli

This work presents the analytic solution of a fundamental open problem in the framework of nonlinear observability, which is the unknown input observability problem (UIO problem).…