Andrea Paoli

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Alejandra B Osorio

Wellesley College

Ruben López-Cano

Escola Superior de Música de Catalunya

Armando Marques-Guedes

UNL - New University of Lisbon

George Lawson

The Australian National University

Stéphane Péquignot

Ecole Pratique des Hautes Etudes

Stephanie Seul

University of Bremen

Stefano Villani

University of Maryland

Gabriel Paquette

University of Maine

Alejandro L. Madrid

Harvard University

Tomás Mantecón

Universidad de Cantabria

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Papers by Andrea Paoli

Trajectory tracking for permanent magnet synchronous motors

2007 European Control Conference (ECC), 2007

In this paper an adaptive internal model based control scheme is designed to deal with an exogeno... more In this paper an adaptive internal model based control scheme is designed to deal with an exogenous trajectory tracking problem for a permanent magnet synchronous motor. More in detail we show how to design a controller able to guarantee the perfect asymptotic tracking of unknown exogenous trajectories belonging to a certain family, embedding in the regulator the internal model of this family; the theoretical machinery exploited in order to prove the global asymptotical stability of the proposed solution is the nonlinear regulation theory, specialized for the energy-based port-Hamiltonian formalism.

Fault Diagnosis of Manufacturing Systems Using Finite State Automata

Industrial Information Technology, 2014

.This chapter presents the salient features of a general methodology for fault diagnosis in parti... more .This chapter presents the salient features of a general methodology for fault diagnosis in partiallyobserved finite-state automata and its application to automated manufacturing systems. The system of interest is modeled as a set of interacting automata coupled by common events. The total event set comprises observable and unobservable events, reflecting those events that can, or cannot, be perceived by the sensors attached to the manufacturing system. Fault events are inherently unobservable and the diagnostic task is to infer their occurrence from the sequences of observable events and the system model. On-line diagnosis is performed using diagnoser automata, which are constructed from the system model either off-line or on-the-fly. The analysis of the diagnosability properties of the system is done off-line using verifier automata, which are also constructed from the system model. The algorithms presented are illustrated with relevant examples. The chapter concludes with a discussion of sensor selection for diagnosability and of cooperative diagnosis for systems with decentralized information.

2008IFAC Hierarchical control architectures in industrial automation- a design approach based on the generalized actuator concept

A new protocol for the decentralized diagnosis of labeled Petri nets

IFAC Proceedings Volumes, 2010

In this paper we deal with the problem of failure diagnosis of discrete event systems with decent... more In this paper we deal with the problem of failure diagnosis of discrete event systems with decentralized information. The decentralized architecture that we use is composed by a set of sites communicating their diagnosis information with a coordinator that is responsible of detecting the occurrence of failures in the system. In particular, first we present a protocol that defines the communication rules between the sites and the coordinator. Secondly, we prove that this protocol does not produce false alarms. Moreover, we give sufficient conditions for diagnosability based on the notion of failure ambiguous strings. Finally, we compare the protocol here presented with two other protocols that we presented in a previous work.

Andrea Paoli

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