Welcome
to the homepage of
M.C. Campi (Marco
Campi)
M.C. Campi (Prof.)
Dept. of Information Engineering
University of Brescia
via Branze, 38
25123 Brescia
ITALY
ph: ++39.030.3715458
e-mail:
marco.campi@unibs.it
wikipage:
https://en.wikipedia.org/wiki/Marco_Claudio_Campi
HOT RESEARCH SUBJECTS
2024 June: EECI-IGSC
graduate course on the Scenario approach 24/06 – 28/06
2024 May: Invited
talk at the Stochastic Programming Society. Title: Scenario
Optimization: Data-Drive Goal-Oriented designs with
Certified Reliability VIDEO
2020
September: Plenary speaker
at COPA 2020, Verona, 9-11 September, 2020. Talk: Risk and
Complexity in Prediction Problems" VIDEO
2017
September: Plenary speaker
at Optimization
2017,
Lisbon, Portugal, September 6-8, 2017
"SELECTED
TOPICS IN PROBABILITY", lecture notes
by Marco C. Campi
PHOTOGRAPHY
Marco
Claudio Campi is Professor of
Inductive Methods and Control at the University of Brescia,
Italy.
In 1988, he
received the Doctor degree in electronic engineering from the
Politecnico di Milano, Milano, Italy. From 1988 to
1989, he was a Lecturer at the Department of Electrical
Engineering of the Politecnico di Milano. From
1989 to 1992, he was a Research Fellow at the Centro di
Teoria dei Sistemi of the National Research Council
(CNR) in Milano and, in 1992, he joined the University
of Brescia, Brescia, Italy. He has held visiting and
teaching appointments at the Australian National
University, Canberra, Australia; the University of
Illinois at Urbana-Champaign, USA; the Centre
for Artificial Intelligence and Robotics, Bangalore,
India; the University of Melbourne, Australia; the Kyoto
University, Japan; the Texas A&M University,
USA; the NASA Langley Research Center, Hampton,
Virginia. USA.
Marco
Claudio Campi was the Chair of the Technical
Committee IFAC on Modeling, Identification and Signal
Processing (MISP) from 2014 to
2020, and the Chair of the Technical
Committee IFAC on Stochastic Systems (SS) from 2002 to
2008. He has been in various capacities on the Editorial Board
of various journals, including Automatica, Systems and
Control Letters and the European
Journal of Control. Marco Campi is
a recipient of the "Giorgio Quazza" prize, and, in 2008, he
received the IEEE CSS George S. Axelby outstanding paper award
for the article The Scenario
Approach to Robust Control Design. He has
delivered plenary and semi-plenary addresses at major
conferences including SYSID, MTNS, and CDC. He has been for
four terms a disinguished lecturer of the Control Systems
Society. Marco Claudio
Campi is a Fellow of IEEE, a Fellow of IFAC, and a member of
SIDRA.
The research
interests of Marco Claudio Campi include: inductive
methods, data-driven decision-making, system
identification, stochastic systems and control,
randomized methods, and learning theory.
In his spare
time, Marco is a keen photographer.
·
research interests
· projects
· selected
presentations
HOT RESEARCH SUBJECTS:
· Robust and chance-constrained
optimization
Collaborators:
Simone Garatti
Maria Prandini
Algo Care
· Randomized methods
Collaborators:
Simone Garatti
Maria Prandini
Algo Care
· Finite sample properties of
system identification
Collaborators:
Erik Weyer
Balazs
Csanad Csaji
· Direct controller design (VRFT)
Collaborators:
Sergio Savaresi
Simone Formentin
Andrea Lecchini
· Adaptive and switching
control
Collaborators:
Sergio Bittanti
Maria Prandini
P.R. Kumar
Joao Hespanha
·
Learning
theory
Collaborators:
P.R. Kumar
M. Vidyasagar
F. Baronio
· Prediction theory
Collaborators:
Marco Dalai
Simone
Garatti
Giuseppe Calafiore
Laurent El Ghaoui
WEB PAGES:
-- Fondamenti
di automatica
Undergraduate courses:
2018
-
Uncertain dynamical systems (University of Brescia)
2010 - 2017 System identification and data analysis
(University of Brescia)
2002 - 2009 Methodologies and techniques for estimation and
system identification (University of Brescia)
1992 -
Fundamentals of systems theory and automatic control
(University of Brescia)
1998-2002 Automatic Control (University of Brescia)
1992-1995 System identification (Politecnico di Milano)
Marco Campi
has obtained the highest score as an undergraduate instructor
in the last academic year.
Graduate courses:
June 2024 "The
scenario approach: data science for systems, control, and
machine learning" (EECI-IGSC University of Oxford)
February 2023 "The scenario approach: data science for
systems, control, and machine learning" (EECI-IGSC
Politecnico di Milano)
September 2023 “Data-driven approaches to uncertain
optimization and decision making: theory and applications” (Politecnico
di Milano)
February 2022 "From data to decisions: the scenario
approach (with applications to systems, control and machine
learning" (EECI-IGSC
Politecnico di Milano and on-line)
September 2021 "Data-driven approaches to uncertain
optimization; theory and applications" (Politecnico
di Milano)
July 2021 “Scenario-based and Data Driven MPC” (as part
of the Chinese MPC school 2021 – videos: talk 1/4 [10]; talk 2/4 [11]; talk 3/4 [12]; talk 4/4 [13])
June 2021, “Data-Driven Decision Making and the Scenario
Approach” (as part of the EPFL & ETHZ Summer School
on “Foundations and Mathematical Guarantees of Data-Driven
Control” - video https://youtu.be/iMT-W5HqQsM)
February 2021 "From data to decisions: the scenario
approach" (EECI-IGSC on-line)
January 2020 “Data-Driven Decision Making and the Scenario
Approach” (Winter School on Optimization and
Operations Research - Zinal)
January 2020 "From data to decisions: the scenario
approach (systems, control, machine learning)" (Indian
Institute of Technology, Bombay)
January 2019 "The scenario approach: making decisions in an
uncertain world (systems, control, machine learning)" (Yildiz Technical University, Istanbul)
Jenuary 2018 "The scenario approach for systems,
control and machine learning" (Supelec, France)
September 2017 "Data-based approaches to uncertain
optimization: theory and applications" (Politecnico
di Milano)
November 2016 "Scenario Optimization: Heuristics and
Certificates in Decision Making" (University of
Melbourne)
October 2015 "Introduction to the Scenario
Approach" (Texas A&M)
September 2015 "Sample-based approaches to uncertain
optimization - theory and applications" (Politecnico
di Milano)
February 2015 "The scenario approach for robust
control, identification and machine learning" (Supelec,
France)
Jenuary 2014 "The scenario approach - Theory and
applications" (Supelec, France)
Jenuary 2013 "Uncertain optimization via
sample-based approaches" (Supelec, France)
July 2012 "Identification with finitely many data points"
(Bertinoro, Italy)
February 2012 "Randomization in systems and
control design: the scenario approach" (Supelec,
France)
September 2009 "Robust optimization" (Politecnico
di
Milano)
March 2007 "Learning from data: intrinsic
limits and perspectives" (University of Brescia)
Sept. 2006 "System identification and the
limits of learning from data" (notes) (Universitat
Politecnica de Valencia)
July 2005 Co-instructor at the
national graduate school on "Adaptive systems" (Bertinoro,
Italy)
Oct. 2002 "What can be learned from data?"
(University of Melbourne)
April 2002 "Statistical theory of learning"
(Politecnico di Milano)
Gen. 2000 "Data-based design of feedback
controllers: direct methods" (University of Melbourne)
July 1999 Co-instructor at the national graduate
school on "Statistical methods in identification" (Bertinoro,
Italy)
1997-1998 "Frequency domain methods in system
identification" (University of Brescia)
1996-1997 "The Kalman filter: theory and
applications" (University of Brescia)
Other
courses:
September
2016 "Scenario optimization: heuristics and
certificate in decision making." (NASA Langley
Research Center, Hampton)
October 2015 "Introduction to scenario
decision-making." (Texas A&M)
June 2015 "A course on scenario optimization." (NASA
Langley
Research Center, Hampton)
Tutorial courses:
1990-1992 Identification and optimization: tutorial classes
(Politecnico di Milano)
1990-1992 Systems theory: tutorial classes (Politecnico di
Milano)
1988-1989 Fundamentals of mathematics (Politecnico di
Milano)
PhD
students:
Maria
Prandini
Thesis title: Adaptive Linear Quadratic Gaussian Control:
Optimality Analysis and Robust Controller Design.
Andrea
Lecchini
Thesis title: Virtual Reference Iterative Feedback Tuning
(VRIFT): a Direct Method for the Iterative Feedback Tuning.
Simone
Garatti (co-supervised with Sergio Bittanti)
Thesis title: Assessing the Model Quality in System
Identification: the Asymptotic Theory Revisited and
Application to Adaptive Control.
Marco Lovera
(partial supervision)
Subject: Estimation of process capability indices under
non normal distribution assumption.
Matteo Pardo
(partial supervision)
Subject: Iterative Methods for Controller Design.
Ivan Serina
(partial supervision)
Subject: Nonlinear Function Approximation from Noisy Data.
Andrea
Ridolfi (partial supervision)
Subject: Consistency of Bootstrap Estimates of Model
Uncertainty in Subspace Identification Methods.
Marco Dalai
(partial supervision)
Subject: Guaranteed confidence regions for nonlinear
systems through the LSCR (Leave out Sign Dominant Confidence
Regions) approach.
Algo Care'
Thesis title: Data-Based Optimization for Applications to
Decision-Making, Identification and Control - A Study of
Coverage Properties.
(winner of the 2016 stochastic programming student paper
prize)
Martina
Favaro
Diego
Lorenzi
Graduation
committees:
- University
of Toulouse, France
- Universitat Politecnica de Valencia
- TU Eindhoven
- University of Twente
- Ecole Polytechnique Federale de Lausanne
- National University of Singapore - NUS
Undergraduate textbooks:
S. Bittanti e M. Campi. Raccolta di problemi di
identificazione, filtraggio, controllo adattativo. Pitagora
Editrice, Bologna, 1995 (in Italian).
M. Campi. Raccolta di temi d'esame di fondamenti di automatica
con soluzione. Casa Editrice Snoopy, Brescia, 1999 (in Italian).
--
project MURST 40% "System identification, control and
signal processing" (1989-1996)
-- special project CNR "Algorithms and
architectures for identification and adaptive control"
(1991-1992)
-- project MURST 60% "Adaptive and robust
control of dynamical systems" (1993-1994)
-- European project Human Capital Mobility
"Nonlinear and adaptive control" (1994-1996)
-- European project Human Capital Mobility
"System modelling and identification" (1994-1996)
-- project MURST 60% "Adaptive identification,
prediction and control" (1995-1997)
-- NATO project Collaborative Research Grant
"Adaptive control in an uncertain environment" (1997-1998)
-- co-financed project MURST "New methods for
identification and adaptive control of industrial systems"
(1997 - 2002)
-- co-financed project MURST "Design criteria
for dental implants optimized with respect to bone-implant
biomechanical interface stability"
(1998 - 2000)
-- project MURST 60% "Adaptive and robust
control systems" (1998 - 2000)
-- co-financed project MURST "Application of the
microwave technology to physico-chemical processing involving
solids" (1999 - 2002)
-- European project Research Training Network
"Nonlinear and adaptive control" (2000 - )
-- project MURST 60% "System identification
techniques based on learning theory" (2001 - 2002)
-- European IST project "Distributed
control and stochastic analysis of hybrid systems supporting
safety critical real-time systems design" (HYBRIDGE) (2002 -2005)
-- project MURST 60% "Robust control: design
through probabilistic techniques for uncertain convex
optimization" (2003)
-- co-financed project MURST "Identification and
adaptive control of industrial systems" (2003 - )
-- project MURST 60% "Robust convex
optimization: randomized methods and applications to control
and system identification" (2004-2005)
-- project MURST 60% "Identification and control
through robust convex optimization" (2006)
-- PRIN PNRR 2022 “A data-driven framework for the
management of distributed energy and water resources”, CUP
D53D23016110001
-- PRIN 2022 “The Scenario Approach for Control and
Non-Convex Design”, CUP D53D23016110006
Plenary and Key-note
presentations
-- Invited speaker SPS Seminar Series, 10 May, 2024.
Title: "Scenario Optimization:
Data-Driven Goal-Oriented Designs with Certified Reliability
". VIDEO
-- Key-note speaker at the
International Conference on Electrical Engineering and
Computer Technology (ICEECT), Nanjing , China, 22-24
Semptember, 2023.
Title: "Risk-Return Trade-Off
in Optimization".
-- Plenary speaker at the 9th Symposium
on Conformal and probabilistic Prediction with
Applications - COPA 2020, Verona, 9-11
September, 2020.
Title: "Risk and Complexity in
Prediction Problems". VIDEO
-- Rudolf E. Kalman dintinguished lecturer,
Budapest, March 18, 2019. (http://files.elearning.sztaki.hu/mta_sztaki/Rudolf_E_Kalman_Distinguished_Lecturer/02_Marco_C_Campi/start.html)
Title: "Risk and complexity: a
new theory to control uncertainty".
-- Key-note speaker at the 2nd International Conference on Simulation
Technology - SimTech 2018, Stuttgart,
Germany, 26-28 March, 2018.
Title: "Optimization by
Simulation: Heuristics and Certificates".
-- Plenary speaker at Optimization
2017, Lisbon, Portugal, September 6-8, 2017.
Title: "Scenario optimization: how far
can we trust data-based decisions? ".
-- Plenary speaker at the 2017 IEEE
Data Driven Control and Learning Systems Conference -
DDCLS'17, Chongqing, China, May 26-27, 2017.
Title: "Virtual Reference
Feedback Tuning (VRFT): a Handy Approach to Tune Industrial
Controllers".
-- Key-note speaker at the International
Conference on Control, Decision and Information Theory -
CODIT 2017, Barcelona,
Spain, 5-7 April, 2017.
Title: "Wait-and-Judge in
Scenario Optimizaiton".
-- Invited course at NIA/NASA, Hampton, VA,
September, 2016.
Title: "Scenario
Optimization: Heuristics and Certificates in Decision Making".
-- Invited course at NIA/NASA, Hampton, VA,
June, 2015.
Title: "Introduction to
the scenario approach".
-- Semi-plenary speaker at the European
Control Conference ECC13, Zurich,
Switzerland, 17-19 July, 2013. SLIDES
VIDEO
Title: "The scenario apporach
to stochastic optimization".
-- Plenary speaker at the Symposium on
System Identification SYSID 2012, Brussels,
Belgium, 11-13 July, 2012.
Title: "Certified system
identification - towards distribution-free results".
-- Distinguished lecturer at CCDC 2012 (Chinese Control
and Decision Conference), Taiyuan, China, 23-25 May, 2012. SLIDES
Title: "Risk-return Trade-off
in decision-making processes".
-- Plenary speaker at CDC 2010 (Conference on
Decision and Control), Atlanta, Georgia, 15-17 December, 2010.
SLIDES
Title: "Randomization in
systems and control: a change of perspective".
further reading related to CDC talk:
1. M.C. Campi. Why is
resorting to fate wise? A critical look at randomized
algorithms in systems and control.
European Journal of Control, 5:419-430,
2010.
2. M.C. Campi. discussion on
paper: "Why is resorting to fate wise? A critical look at
randomized algorithms in systems and control" - Final
comments by the author. European Journal of Control, 5:440-441,
2010.
--
Key-note speaker at the CWI Symposium on Large-Scale and Uncertain
Systems, Amsterdam,
Holland, 12 November, 2010.
Title: "Risk-Return Trade-Off
in Optimization".
-- Key-note speaker at CMS 2010 (International
Conference on Computational Management Science), Vienna,
Austra, 28-30 July, 2010.
Title: "Uncertain Optimization
and Risk-Return Tradeoff through the Scenario Approach".
-- Semi-plenary speaker at MTNS 2010 (19th
International Symposium on Mathematical Theory of Networks and
Systems), Budapest, Hungary, 5-9 July, 2010.
Title: "Variable
Robustness Control: Principles and Algorithms". Slides.
-- Key-note speaker at the Seminar for Advanced Industrial Control
Applications (SAICA) 2007, Madrid, Spain,
5-6 November, 2007.
Title: "Tuning industrial
controllers: the Virtual reference Feedback Tuning (VRFT)
approach".
-- Invited speaker at the International Conference on Modeling,
Estimation and Control, A symposium in
honor of Giorgio Picci on the occasion of his sixty-fifth
birthday, Venezia, Italy, 4-5 October, 2007.
Title: "How many experiments
are needed in order to adapt?".
-- Graduate course at the Departamento de
Ingenieria de Sistemas y Automatica, Universitat Politecnica
de Valencia, Valencia, Spain, September, 2006.
Title: "System
identification and the limits of learning from data" (notes)
-- Invited speaker at the CASY workshop on "Advances
in Control Theory and Applications", Bertinoro,
Italy, 22-26 May, 2006. (picture)
Title: "The scenario approach:
robust optimization in systems and control".
-- Pleanary speaker at the Colloquium on
Optimization for Control, University of
Sheffield, UK, 24 April, 2006.
Title: "The scenario approach
to robust control".
-- Semi-plenary speaker at the Symposium on
System Identification SYSID 2006, New Castle,
Australia, 29-31 March, 2006.
Title: "Identification
with finitely many data points: the LSCR approach". Slides.
-- Invited speaker at the 14th ERNSI
Workshop on System Identification,
Louvain-la-Neuve, Belgium, 19-21 September, 2005.
Title: "Guaranteed
non-asymptotic confidence regions in system identification"
-- Plenary speaker at the Conference MAS de la
SMAI, Nancy, France, 6-8 September, 2004.
Title: "The Scenario Approach
to Robust Control - Randomized Solutions and Confidence
Levels"
-- IEEE CSS Distinguished Lecturer speaker at the
University of Kyoto, August, 2004.
Title: "Robust Convex
Optimization - the Scenario Approach"
-- Plenary speaker at the Workshop "CMP'04: Multiple Participant Decision Making", UTIA,
Prague, Czech Republic, 12-14 May, 2004. (pictures: 1, 2, 3)
Title: "Decision Making in an
Uncertain Environment: the Scenario based Optimization
Approach"
-- Post-graduate course at the Dept. of Electrical
and Electronics Engineering, University of Melbourne,
Melbourne, Australia, October, 2002.
Title: "What can be learned
from data?"
-- Graduate course at the Dept. of Electrical and
Electronics Engineering, Politecnico di Milano,
Milano, Italy, April, 2002.
Title: "Statistical theory of
learning "
-- Plenary speaker at the 19th Benelux Meeting
on "Systems and Control", Mierlo, The Netherlands, 1-3 March,
2000.
Title: "Probabilistic
Robustness: A New Approach to the Analysis and Synthesis of
Uncertain Control Systems"
-- Graduate course at the Dept. of Electrical and
Electronics Engineering, University of Melbourne,
Melbourne, Australia, Jenuary - February, 2000.
Title: "Data-based design of
feedback controllers: direct methods"
-- Plenary speaker at the 6th St. Petersburg
Symposium on "Adaptive Systems Theory", St. Petersburg,
Russia, 7-9 September, 1999.
Title: "Penalized
identification methods for self-tuning control"
-- Plenary speaker at the ERCIM Workshop
on "Systems and Control", Budapest, Hugary, 6-8 Novembre 1995.
Title: "Stability and
performance of self-tuning control systems"
-- Invited speaker at the Nato Advanced Study
Institute "From Identification to Learning", Como,
Italy, 22 August- 2 September, 1994.
Title: "Mathematical tools in
probability theory"
-- Invited speaker at the Workshop "From Data to
Model", IIASA-Laxemburg, Austria, 24-28 June, 1991.
Title: "Tracking time-varying
systems by recursive least squares methods".
In evidence:
Virtual
Reference Feedback Tuning
Papers
M. C. Campi,
A. Lecchini and S.M. Savaresi.
Virtual
Reference Feedback Tuning: a Direct Method for the Design
of Feedback Controllers.
Automatica, 38:1337-1346, 2002.
M.C. Campi
and S.M. Savaresi.
Direct
nonlinear control design: the Virtual Reference Feedback
Tuning (VRFT) approach.
IEEE Trans. on Automatic Control, AC-51:14-27, 2006.
M.C. Campi,
A. Lecchini and S.M. Savaresi.
An
application of the virtual reference feedback tuning
method to a benchmark problem.
European Journal of Control, Special Issue on
"Design and Optimisation of Restricted Complexity
Controllers", 1:66-76, 2003.
A. Lecchini, M.C. Campi and S.M. Savaresi.
Virtual
Reference Feedback Tuning for two degree of freedom
controllers.
Int. J. Adapt. Control and Signal Process., invited
paper for the Special Issue on "New Ideas in Recursive
Estimation and stochastic Adaptive Control", 16:355-371, 2002.
M.C. Campi and S. Savaresi.
Virtual
reference feedback tuning for nonlinear systems.
In Proc. 44th Conf. on Decision and Control, Seville, Spain,
6608-6613, 2005.
A. Lecchini, M.C. Campi and S.M Savaresi.
Sensitivity
shaping via virtual reference feedback tuning.
In Proc. 40th Conf. on Decision and Control, Orlando, pages
750-755, 2001.
A. Lecchini, M.C. Campi and S.M Savaresi.
Virtual
reference feedback tuning for two degree of freedom
controllers.
European Control Conferece ECC 2001, Porto, 2001.
A. Lecchini, M.C. Campi and S.M Savaresi.
Virtual
reference feedback tuning: a new framework for data-based
design of PID and linear controllers.
IFAC ALCOSP Workshop, Como, 2001.
M.C. Campi, A. Lecchini and S.M Savaresi.
Virtual
reference feedback tuning (VRFT): a new direct approach to
the design of feedback controllers.
In Proc. 39th Conf. on Decision and Control, Sydney, pages
623-628, 2000.
M.C. Campi, A. Lecchini, M. Pardo and S. Savaresi.
Iterative
feedback tuning: a direct approach.
In Int. Symposium on the Mathematical Theory of Network and
Systems, Padova, pages 719-722, 1998.
Guaranteed regions for identified models
Papers
M.C. Campi
and E. Weyer.
Guaranteed
non-asymptotic confidence regions in system identification.
Automatica, 41:1751-1764, 2005.
(the downloadable file is an extended version (with all
proofs) of the Automatica paper)
M. Dalai, E.
Weyer and M.C. Campi.
Parameter Identification for Nonlinear Systems: Guaranteed
Confidence regions through LSCR.
Automatica, in press.
M.C. Campi
and E. Weyer.
Identification with finitely many data
points: the LSCR approach.
Semi-plenary presentation. In Proc. Symposium on System
Identification, SYSID 2006, New Castle, Australia, 2006.
M.C. Campi, Su Ki Ooi and E. Weyer.
Non-asymptotic quality assessment of
generalised FIR models with periodic inputs.
Automatica, 40:2029-2041, 2004.
M.C. Campi
and E. Weyer.
Finite sample properties of system
identification methods.
IEEE Trans. on Automatic Control, AC-47:1329-1334,
2002.
E. Weyer and
M.C. Campi.
Non-asymptotic
confidence ellipsoids for the least squares estimate.
Automatica, 38:1529-1547, 2002.
M.C. Campi
and E. Weyer.
Non-asymptotic
confidence sets for input-output transfer functions.
In Proc. 45th Conf. on Decision and Control, San Diego, CA,
USA, 157-162. 2006.
M. Dalai, E.
Weyer and M.C. Campi.
Parametric identification of nonlinear
systems: Guaranteed confidence regions.
In Proc. 44th Conf. on Decision and Control, Seville, Spain,
6418-6423, 2005.
E. Weyer and M.C. Campi.
Global non-asymptotic confidence sets for
general linear models.
In Proc. 16th World IFAC Congress, Prague, 2005.
M.C. Campi
and E. Weyer.
Non-asymptotic confidence sets for the parameters of ARMAX
models.
In Proc. IFAC Workshop on Adaptation and Learning in Control
and Signal Processing (ALCOSP 2004), Yokohama, Japan, 2004.
M.C. Campi,
E. Weyer
Estimation of
confidence regions for the parameters of ARMA models -
guaranted non-asymptotic results.
In Proc. 42st Conf. on Decision and Control, Maui, Hawaii, USA
, 2003.
Su Ki Ooi,
E. Weyer and M.C. Campi.
Finite sample quality assessment of system identification
models of irrigation channels.
2003 IEEE Conference on Control Applications, Istanbul, 2003.
M.C. Campi,
Su Ki Ooi and E. Weyer.
Non-asymptotic quality assessment of
generalised FIR models.
In Proc. 41st Conf. on Decision and Control, Las Vegas, USA,
2002.
M.C. Campi,
E. Weyer and Su Ki Ooi.
Nonasymptotic quality assessment of
identified models.
In Proc. 15th World IFAC Congress, Barcelona, 2002.
E. Weyer and
M.C. Campi.
Non-asymptotic confidence ellipsoids for the
least squares estimate.
In Proc. 39th Conf. on Decision and Control, Sydney, pages
2688-2693, 2000.
E. Weyer and
M.C. Campi.
Finite sample properties in system
identification methods.
In Proc. 38th Conf. on Decision and Control, Phoenix, 1999.
