2017 IEEE-EURASIP Summer School on Signal Processing (S3P-2017)

The 2017 IEEE-EURASIP Summer School on Signal Processing (S3P-2017), is the 5th edition of a successful series, organized by the IEEE SPS Italy Chapter and the National Telecommunications and Information Technologies Group – GTTI, with the sponsorship of IEEE (S3P program) and EURASIP (Seasonal School Co-Sponsorship agreement). S3P-2017 represents a stimulating environment where top international scientists in signal processing and related disciplines share their ideas on fundamental and ground-breaking methodologies in the field. It provides PhD students and researcher with a unique networking opportunity and possibility of interaction with leading scientists.

The theme of this 5th edition is “Signal Processing meets Deep Learning”.

Student application deadline: March 31, 2017.

For more info: Summer School website

Course Complementi Di Automatica

Corso Professionalizzante su CONTROLLO STOCASTICO

Docente: Prof. Alfredo Germani

Lunedi 13 marzo 2017 avrà inizio il Corso Professionalizzante su “Controllo Stocastico”

Destinatari del Corso

Studenti del Corso di laurea Magistrale in Ingegneria Informatica-Automatica che abbiano già frequentato gli insegnamenti di “Identificazione dei Modelli e Analisi dei Dati” e di “Complementi di Automatica”.

La partecipazione al corso ed il superamento della prova finale consentono di acquisire 3 CFU nella tipologia F.

Obiettivi

L’intervento formativo è finalizzato a far acquisire agli studenti conoscenze e competenze sul controllo di sistemi dinamici a tempo discreto in condizioni stocastiche.

Programma del Corso

I)   Richiami di Calcolo delle Probabilità:
1) Variabili aleatorie e distribuzioni,
2) Spazio di Hilbert delle variabili aleatorie con secondo momento finito,
3) Stima come proiezione e sue proprietà
4) Richiami sul filtro di Kalman.
II)   Richiami di teoria del controllo ottimo deterministico con indice quadratico:
casi con completa e parziale osservazione dello stato, ruolo dell’osservatore di Luenberger e Teorema di separazione.
III)   Controllo di sistemi stocastici lineari a tempo discreto
Caso di rumori gaussiani:
Valutazione dell’indice di costo stocastico in termini di stima ottima dello stato, Il controllo LQG, equazioni di Riccati per la stima e per il controllo, caso stazionario.
Caso di rumori non gaussiani:
Costruzione di controllori sub-ottimi a dimensione finita. Controllori polinomiali nelle osservazioni,
Algebra di Kronecker per la definizione di stime polinomiali, importanza del metodo “output injection” per la definizione di controllori polinomiale stazionari.
Caso del controllo stocastico quadratico:
Esempi di applicazione.

Durata

Sono previste lezioni frontali ed esercitazioni in aula, per un totale di 30 ore. Al termine delle lezioni è prevista una verifica dell’apprendimento.

Orario delle lezioni

Le lezioni si terranno tutti i lunedi, dalle 15:00 alle 19:00, a partire dal 13 marzo 2017 fino a esaurimento delle 30 ore previste per il corso, in aula 1.2 (Coppito 1).

Docenti

Le lezioni saranno tenute dal Prof. Alfredo Germani, titolare degli insegnamenti di “Identificazione dei Modelli e Analisi dei Dati” e di “Complementi di Automatica” nel Corso di Laurea Magistrale in Ingegneria Informatica e Automatica.

Iscrizione

Gli studenti interessati dovranno inviare domanda di iscrizione entro il 10 marzo 2017 al Prof. Costanzo Manes costanzo.manes@univaq.it, indicando come oggetto “Corso Professionalizzante su Controllo Stocastico”, con nome e cognome, numero di matricola, corso di laurea, anno di iscrizione, indirizzo email e numero di cellulare. Dovranno altresì indicare se hanno solo frequentato o anche sostenuto gli insegnamenti di “Identificazione dei Modelli e Analisi dei Dati” e di “Complementi di Automatica”.

Bando Cassini 2017

Organizzazione di giornate di studi italo-francesi rivolto ai dottorandi delle università italiane

L’Ambasciata di Francia in Italia propone un bando per dottorandi delle università italiane con lo scopo di sostenere l’organizzazione di giornate di studi italo-francesi e di favorire così le relazioni tra giovani ricercatori italiani e centri di ricerca e università francesi. 

Queste giornate dovranno coinvolgere almeno due dottorandi/ricercatori/professori provenienti da università o centri di ricerca francesi ed essere organizzate dai dottorandi delle università italiane in coordinazione con il loro corso di dottorato e la loro struttura di riferimento. 

I progetti selezionati riceveranno un finanziamento di 1000 euro ciascuno dall’Ambasciata di Francia in Italia per sostenere l’organizzazione delle giornate di studi. 

Bando Cassini 2017 

Scadenza del bando: 15 aprile 2017.

Seminar “Stability of interconnected uncertain delay systems: a converse Lyapunov approach”

Speaker: Dr. Ihab Haidar (ENSEA-Cergy, France, Laboratoire QUARTZ)
When: Monday, January 23rd, 2017 — 3:30pm
Where: ROOM A1.5, Alan Turing building (Coppito 0).
Title: Stability of interconnected uncertain delay systems: a converse Lyapunov approach

Abstract: This talk is interested by the asymptotic stability of interconnected uncertain delay systems. First, a collection of converse Lyapunov-Krasovskii theorems for uncertain linear delay systems, recently developed in the literature, is presented. The originality of these theorems resides in the weakly-degenerate conditions required on the Lyapunov-Krasovskii funcionals. Then, thanks to these theorems, sufficient conditions for stability of interconnected uncertain linear delay systems are presented.

Contact: Prof. Pierdomenico Pepe (pierdomenico(dot)pepe(at)univaq(dot)it)

For more info: Haidar_Seminar_2017

 

American Model Predictive Control Summer School 2017

A four-day, eight-speaker American Summer School on Model Predictive Control (MPC) has been organized by Sasa V. Rakovic, James B. Rawlings and Ilya V. Kolmanovsky. The first American Summer School of MPC will be held at the University of Wisconsin-Madison from July 25, 2017 to July 28, 2017.

The American Summer School on MPC aims to enable up to 40 graduate students (as well as interested researchers and control practitioners) from a cross-cutting set of disciplines in engineering, science, and applied mathematics to receive advanced education and training from international experts in the theory, implementation and application of MPC. The instructors comprise leading researchers from universities, government laboratories, and industrial companies, and they have been selected for their leading expertise in the different research areas, as well as a diversity of backgrounds and disciplines in engineering, science and applied mathematics.

The main topics of the summer school are:

  • Introduction to MPC and MPC essentials (by William S. Levine).
  • Classical MPC: regulation, estimation, and disturbance models (by James B. Rawlings).
  • Robust MPC (by Sasa V. Rakovic).
  • Stochastic MPC (by Ilya V. Kolmanovsky).
  • Economic MPC (by David Angeli).
  • MPC for sampled-data systems (by Fernando Fontes).
  • Online optimization for MPC (by Lorenz T. Biegler).
  • Industrial applications of MPC (by Thomas A. Badgwell).

The summer school delivers a carefully crafted overview of the theoretical fundamentals of MPC, and it provides access to, and motivates the development of, freely-available and state-of-the-art numerical software for implementing the advanced MPC methods on difficult and challenging examples and industrial applications. The summer school also anticipates inclusion of class mini-projects that enable all attendees to present, and discuss, problems of direct interest to their research, and also to receive feedback from a set of instructors with valuable expertise in all areas of MPC research.

Additional information, including a detailed summer school schedule and registration information will be made available shortly at the summer school website www.che.wisc.edu/mpc-summer-school

The organizers of the summer school are grateful to NSF for providing financial support for up to 40 attending participants. Travel expenses will be reimbursed up to $500 pending final approval of NSF funding. A modest registration fee of $150 is also required for all attendees. Registration will open on May 1, and is on a first-come, first-served basis. Registration is capped at 40 students, so early registration is encouraged.

International Graduate School on Control (EECI-IGSC-2017)

The European Embedded Control Institute (EECI) is founded in 2006 in the framework of the HYCON Network of Excellence (FP6-IST-511368), a funded EC project from September 2004 to September 2008. EECI is a “lightweight” association (under the French Association Law 1901), based on volunteer work by its members. The EECI offers a legal structure for the Knowledge Community of Networked and Embedded Control.

Since the creation of EECI, IGSC Program is organized every year where independent modules on different topics of networked and embedded control are taught, one 21-hours module per week.

Our department will be hosting the Module M14 “Modeling, analysis and design of wireless sensor and actuator networks”, held by Carlo Fischione (KTH, Stockholm) and Alessandro D’Innocenzo (University of L’Aquila) from April 18th to April 21th 2017.

Please note that the deadline for advanced registration is coming soon (December 28th 2016).

Course Summaries of the 2017 International Graduate School on Control Pre-program

For more info: EECI-IGSC website

International Software Architecture PhD School (ISAPS 2017)

The International Software Architecture PhD School (ISAPS) is a four-day intensive workshop that will provide young researchers and practicing architects from industry the opportunity to learn from the leaders in the field the most recent methods, tools, and theories produced by top research groups around the world and in industrial environments.

For whom: For young researchers and practicing software architects.

When: Tuesday June 6th, 2017 to Friday June 9th (full time)

Where: The school is hosted by the Lorentz center on the campus of the University of Leiden, in The Netherlands, a short 30 minutes west of Amsterdam.

For more information: iSAPS2017 Flyer

Seminario: On stability of time-inhomogeneous Markov jump linear systems

Si comunica che il giorno Mercoledì 7 Dicembre alle ore 17.00 presso l’aula Aula A1.5 (Coppito 0),  il dottorando Yuriy Zacchia Lun terrà un seminario dal titolo:

On stability of time-inhomogeneous Markov jump linear systems

 

Abstract: Discrete-time time-inhomogeneous (DTTI) Markov jump linear systems (MJLS) are linear systems subject to abrupt parameter changes, with modal transitions governed by a DTTI finite-state Markov chain. This type of Markov chain has time-varying transition probability matrix, with variations, that are arbitrary within a polytopic set of stochastic matrices. Such mathematical model is especially important for wireless networked control systems, since it allows us jointly take into account the dynamics of a physical plant and nonidealities of wireless communication. In this seminar, we present necessary and sufficient conditions for mean square stability (MSS) of DTTI MJLS affected by polytopic uncertainties on transition probabilities. The aforementioned conditions require to decide whether the joint spectral radius (JSR) of a finite family of matrices is smaller than 1. Additionally, we prove that deciding MSS on DTTI MJLS is NP-hard and that MSS is equivalent to exponential mean square stability (EMSS) and to stochastic stability (SS).

Il tempo restante, dopo la presentazione, sarà dedicato a domande ed approfondimenti. A tal proposito vi chiedo di diffondere questo avviso a chi pensate possa essere interessato.

Lo stesso lavoro verrà presentato la settimana successiva al: “55th IEEE Conference on Decision and Control (CDC 2016)” a Las Vegas.

La durata della presentazione sarà di circa 20 minuti e si avrà tempo per eventuali domande, feedbacks e chiarimenti alla fine.

Seminar announcement: Dr. Andre Bondi (Visiting Professor at DISIM)

Speaker: Dr. Andre Bondi (Visiting Professor at DISIM)
When: Tuesday, December 6, 2016 — 2:30pm
Where: Alan Turing building, Seminar Room.
Title: Predicting the Time to Migration into Deadlock for a Performance Antipattern Using a Discrete Time Markov Chain

Abstract: When processes join a common FCFS queue to acquire or release resources in an object pool of fixed size, deadlock occurs if the process at the head of the queue wishes to acquire a resource when the pool is empty, even if a process wishing to relinquish a resource is queued behind. This scenario has been called the Museum Checkroom antipattern. We describe a state machine representation of this problem. We use the representation to develop a discrete time Markov chain analysis to identify the load conditions under which deadlock is most likely to occur and how soon it is likely to occur. The analysis shows that deadlock is inevitable regardless of the load, and that the time to the onset of deadlock depends on combinations of the request rate for resources in pool, the average holding time of the resources, and the number of resources in the pool. We verify the intuition that deadlock will occur sooner at heavy loads or when the resource pool is small. A connection will be made between this problem and random walks with a single absorbing and a single reflecting barrier. Interesting numerical properties of the analysis will be illustrated. It will be shown that these can be anticipated from the structure of the problem.

Seminar announcement: Prof. Alberto Fernández Oliva (University of Havana, Cuba)

Speaker: Prof. Alberto Fernández Oliva (University of Havana, Cuba)
When: Thursday, November 24, 2016 — 3pm
Where: Sala seminari DISIM (Alan Turing Building)
Title: Rough Set applied to outliers detection

Abstract: Rough Set Theory plays an important role when reasoning is performed on imprecise data. This approach is based on the knowledge that an agent has about a certain reality and on their ability to discern phenomena, processes, objects, etc. In other words, it’s based on the capability of classifying data obtained from different sources. This theory has been applied effectively in many real life problems. If, on the one hand, the implementation of the Rough Sets Theory to the field of the KDD process has been occurring ever since its formulation by Z. Pawlak in the decade of  80’s, last century, in the past years the outliers detection has started to be seen as a KDD process with interests in itself. The combination of both approaches (Rough Sets as a foundation for the characterization and outliers detection), constitutes an absolutely new point of view, with a great potential for it’s the theoretical interest and its practical applicability.