This document includes links to files
in ps and pdf format.
Problems in downloading the files? Please, send me an email: campi@ing.unibs.it
Conference
paper
A. Carč, M.C. Campi, S. Garatti
Post-Design Verification in the Scenario Approach.
Proceedings of the 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brasil, 2025.
D. Paccagnan, D. Marks, M.C. Campi, S.
Garatti
Pick-to-Learn for Systems
and Control: theoretical review with a showcase in
reachability analysis.
Proceedings of the 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brasil, 2025.
A. Arastou, A. Carč, Y.
Wang, M.C. Campi, E. Weyer
A Scenario-Based Approach
for Stochastic Economic Model Predictive Control with an
Expected Shortfall Constraint.
Proceedings of the 64th IEEE Conference on Decision and Control, Rio de Janeiro, Brasil, 2025.
S. Garatti, A. Carč, M.C. Campi
Average number of mistakes in
sequential risk-averse scenario decision-making.
Proceedings of the 63rd IEEE Conference on Decision and Control, Milan, Italy, pp. 8245-8250, 2024.
S. Garatti, M.C. Campi
Proceedings of the 62nd
IEEE Conference on Decision and Control, Singapore,
Singapore, 2023.
S D. Paccagnan, M.C. Campi, S. Garatti
37th Conference on Neural Information Processing Systems - Neurips2023
S Garatti, M.C. Campi.
Compression at the service of learning: a
case study for the Guaranteed Error Machine.
S Garatti, M.C. Campi.
On the consistency of the risk evaluation in the scenario approach.
60th IEEE Conference on Decision and Control (CDC), 1468-1473, 2021
S Garatti,
MC Campi.
The risk of making decisions
from data through the lens of the scenario approach.
19th IFAC Symposium on System Identificaiton SYSID, 607-612, 2021.
MC Campi, S Garatti
59th IEEE
Conference on Decision and Control (CDC), 2463-2468, 2020.
A.Carč, M.C.Campi, F.A.Ramponi, S.Garatti,
A.T.J.R.Cobbenhagen
A study of majority-voting
classifiers with guarantee on the probability of error.
21st
IFAC World Congress, Berlin, 1013-1018, 2020
S Garatti, MC Campi.
Learning for control: a Bayesain scenario approach.
IEEE 58th Conference on Decision and Control
(CDC), 1772-1777, 2019.
D Paccagnan, MC Campi.
The
scenario approach meets uncertain game theory and
variational inequalities.
IEEE 58th Conference on Decision and Control
(CDC), 6124-6129, 2019.
S Garatti, MC Campi.
Complexity-based
modulation of the data-set in scenario optimization.
18th European
Control Conference (ECC), 1386-1391, 2019.
A. Carč, F. Torricelli, M.C.
Campi, S. Savaresi.
A Toolbox for Virtual Reference
Feedback Tuning (VRFT).
In Proc. of the European Control Conference 2019, Napoli,
Italy, 4252-4257, 2019.
A. Carč, G. Pillonetto,
M.C. Campi.
Uncertainty bounds for kernel-based
regression: a Bayesian SPS approach.
IEEE International Workshop on Machine Learning for Signal
Processing, MLSP, Aalborg, Denmark, pp.17–20, 2018.
F. Baronio, M. Baronio, M.C. Campi, A. Carč,
S. Garatti, G. Perone.
Ventricular defibrillation:
Classification with G.E.M. and a roadmap for future
investigations.
In Proc. 56th Conf. on Decision and Control, Melbourne,
Australia, pages 2718-2723, 2018.
S. Formentin, S. Garatti, M.C.
Campi, S. Savaresi.
Tuning regularization via scenario
optimization.
In Proc. 56th Conf. on Decision and Control, Melbourne,
Australia, pages 635-640, 2018.
G. Pillonetto,
A. Carč, M.C. Campi.
Kernel-based SPS.
IFAC-PapersOnline, Volume 51, Issue 15,
1 January 2018, Pages 31-36.
(18th IFAC Symposium on System
Identification - SYSID, 2018).
A. Caré,
M.C. Campi, Balázs Csáji,
E. Weyer.
Undermodelling detection with sign-perturbed sums.
In Proc. 20th World IFAC Congress, Toulouse, France,
2799-2804, 2017.
A. Caré,
B.C. Csaji,
M.C. Campi.
Sign-perturbed sums (SPS) with
asymmetric noise: robustness analysis and robustification
techniques.
In Proc. 55th Conf. on Decision and Control, Las Vegas, USA,
2016.
S Trimpe,
M.C. Campi.
On the choice of the event trigger
in event-based estimation.
International Conference on Event-Based Control,
Communication, and Signal Processing (EBCCSP) pp: 1-8, 2015.
M.C. Campi, S. Garatti, F.
Ramponi
Non-convex scenario optimization with application to system identification.
Proceedings of the 54th IEEE Conference on Decision
and Control, Osaka, Japan, 2015.
V. Volpe, B.C. Csaji, A. Caré and M.C. Campi.
Sign-Perturbed Sums (SPS) with instrumental variables for
the identification of ARX systems.
In Proc. 54th Conf. on Decision and Control, Osaka, Japan,
2015.
S. Formentin, M.C. Campi, S. Savaresi.
Virtual
Reference Feedback Tuning for Industrial PID Controllers.
In Proc. 19th World IFAC
Congress, Cape Town, South Africa, 2014.
P. Panciatici,
M.C. Campi, S. Garatti, S.H. Low,
D.K. Molzahn, A.X. Sun, L. Wehenkel
Advanced optimization methods for
power systems.
In Proc. 18th Power Systems Computation Conference, Wroclaw,
Poland, 2014.
A. Caré, S. Garatti,
M.C. Campi
Empirical cost
distribution: a scenario approach to the construction of
probability boxes with application to channel equalization.
In Proc. 13th European Control Conference,
Strasbourg, France, 2014.
E. Weyer,
B.C. Csaji and M.C. Campi.
Guaranteed Non-Asymptotic Confidence
Ellipsoids for FIR Systems.
In Proc. 52nd Conf. on Decision and Control, Firenze, Italy,
2013.
A. Care', S. Garatti and M.C.
Campi.
Least Squares Estimates and the
Coverage of Least Squares Costs.
In Proc. 52nd Conf. on Decision and Control, Firenze, Italy,
2013.
B.C. Csaji,
M.C. Campi and E. Weyer.
Sign-Perturbed Sums (SPS): A Method
for Constructing Exact Finite-Sample Confidence Regions
for General Linear Systems.
In Proc. 51st Conf. on Decision and Control, Maui, Hawaii, USA
, 2012.
M.C. Campi, B.C. Csaji, S. Garatti and E. Weyer.
Certified system
identification: towards distribution-free results.
Plenary address. In Proc. Symposium on System Identification,
SYSID 2012, Brussels, Belgium, 245-255, 2012.
A. Care', S. Garatti
and M.C. Campi.
FAST: an algorithm for the scenario approach with reduced
sample complexity.
In Proc. 18th World IFAC Congress, Milano, Italia, 2011.
A. Care', S. Garatti and M.C. Campi.
Randomized min-max
optimization: the exact risk of multiple cost levels.
In Proc. 50th Conf. on
Decision and Control, Orlando, FL, USA, 7794-7799, 2011.
E. Weyer and M.C. Campi.
Prediction,
filtering and smoothing using LSCR: state estimation
algorithms with guaranteed confidence sets.
In Proc. 50th Conf. on
Decision and Control, Orlando, FL, USA, 2589-2594, 2011.
E. Weyer
and M.C. Campi.
State estimation algorithms with guaranteed confidence
intervals for first order systems.
In Proc. 9th IEEE International Conference on Control and
Automation (ICCA), Santiago, Chile, 2011.
M.C. Campi and S. Garatti.
Variable Robustness Control:
Principles and Algorithms.
Semi-plenary address.
In Proc. 19th Symposium on Mathematical Theory of Networs and Sytems,
Budapest, Hungary, 2010.
E. Weyer,
S. Ko and M.C. Campi.
Finite sample properties of system identification with
quantized output data.
In Proc. 48th Conf. on Decision and Control, Shanghai, China,
2009.
S. Bittanti, M.C. Campi and M. Prandini.
Adaptation and the effort needed to
adapt.
In Proc. 48th Conf. on Decision and Control, Shanghai, China,
2009.
E. Weyer,
S. Ko and M.C. Campi.
A randomised subsampling method
for change detection.
In Proc. SafeProcess'09, Barcelona, Spain, 2009.
(Paul Frank award finalist)
K.J. Layton, E. Weyer, and M.C. Campi.
Online algorithms
for the construction of guaranteed confidence sets for the
parameters of time-varying systems.
In Proc. Symposium on System Identification, SYSID 2009, Saint
Malo, pp. 426-431, 2009.
S. Garatti and M.C. Campi.
L-infinity layers and the
probability of false prediction.
In Proc. Symposium on System Identification, SYSID 2009, Saint
Malo, 2009.
M.C. Campi, S. Garatti and M. Prandini.
The scenario approach for systems
and control design.
In Proc. 17th World IFAC Congress, Seoul, Korea, 381-389,
2008.
(also appeared in: Plenary Papers, Milestone Reports &
Selected Survey Papers (M.J. Chung and P. Misra eds.). IFAC WC 2008, pages
180-188, 2008.)
M.C. Campi
How much do we need to experiment in
order to adapt?
In Proc. of the European Control Conference 2007, Kos, Greece,
5556-5557, 2007.
M.C. Campi, Sangho Ko and Erik Weyer.
Non-asymptotic
confidence regions for model parameters in the presence of
unmodelled dynamics.
In Proc. 46th Conf. on Decision and Control, New Orleans, LA,
USA, 2007.
M.C. Campi and Giuseppe Calafiore.
New results on the
scenario design approach.
In Proc. 46th Conf. on Decision and Control, New Orleans, LA,
USA, 2007.
M.C. Campi and Simone Garatti.
Modulating
robustness in robust control: making it easy through
randomization.
In Proc. 46th Conf. on Decision and Control, New Orleans, LA,
USA, 2007.
Maria Prandini and M.C.
Campi.
A new approach
to controller design in presence of constraints.
In Proc. 46th Conf. on Decision and Control, New Orleans,
LA, USA, 2007.
Sangho Ko, Erik Weyer and
M.C. Campi.
Non-asymptotic uncertainty assessment of frequency
responses using the LSCR approach.
In Proc. 2007 Conf. on Control, Automation and Systems,
ICCAS 2007, Seoul, Korea, 2007.
M.C. Campi, Toshiharu Sugie and
Fumitoshi Sakai.
Iterative identification method
for linear continuous-time systems.
In Proc. 45th Conf. on Decision and Control, San Diego, CA,
USA, 817-822, 2006.
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.C. Campi and E. Weyer.
Identification
with finitely many data points: the LSCR approach.
Semi-plenary address. In Proc. Symposium on System
Identification, SYSID 2006, New Castle, Australia, 2006.
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.
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.
G. Calafiore and M.C. Campi.
On two-stage portfolio allocation
problems with affine recourse.
In Proc. 44th Conf. on Decision and Control, Seville, Spain,
8042-8046, 2005.
S. Garatti, M.C. Campi and S. Bittanti.
Introducing
robustness in iterative control.
In Proc. 44th Conf. on Decision and Control, Seville, Spain,
3111-3116, 2005.
T. Katayama, T. McKelvey, A. Sano,
C. Cassandras and M.C. Campi.
Trends in systems
and signals.
Status report prepared by the IFAC coordinating committee
on systems and signals.
In Proc. 16th World
IFAC Congress, Prague, 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, G. Calafiore and
S. Garatti.
New results on the identification
of interval predictor models.
In Proc. 16th World IFAC Congress, Prague, 2005.
M.C. Campi and E. Weyer.
Non-asymptotic confidence sets for general linear system
identification models.
In Proc. 1st workshop on Advanced Control Circuits and
Systems, Cairo, 2005.
G. Calafiore and M.C. Campi.
A new bound on the generalization
rate of sampled convex programs.
In Proc. 43rd Conf. on Decision and Control, Atlantis,
Bahamas, USA , 2004.
S. Bittanti, M.C. Campi and S. Garatti.
Some critical
implementation issues in iterative robust control design.
In Proc. IFAC Workshop on Adaptation and Learning in Control
and Signal Processing (ALCOSP 2004), Yokohama, Japan, 2004.
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 and 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.
S. Garatti,
S. Bittanti and M.C. Campi
Model quality assessment for
Instrumental Variable methods: use of the asymptotic
theory in practice.
In Proc. 42st Conf. on Decision and Control, Maui, Hawaii, USA
, 2003.
G. Calafiore and M.C. Campi
Robust Convex Programs: Randomized
Solutions and Applications in Control.
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.
G. Calafiore and M.C. Campi.
Interval predictors for unknown
dynamical systems: an assessment of reliability.
In Proc. 41st Conf. on Decision and Control, Las Vegas, USA,
2002.
M.C. Campi, Joao P. Hespanha,
Maria Prandini.
Cautious
hierarchical switching control of stochastic linear
systems.
Int. Symposium on the Mathematical Theory of Network and
Systems, Notre-Dame, Indiana, 2002.
S.Bittanti, M.C. Campi and S. Garatti.
An iterative
controller design scheme based on average robust control.
In Proc. 15th World IFAC Congress, Barcelona, 2002.
G. Calafiore, M.C. Campi and L. El
Ghaui.
Identification of
reliable predictor models for unknown systems: a
data-consistency aproach
based on learning theory.
In Proc. 15th World IFAC Congress, Barcelona, 2002.
M.C. Campi, E. Weyer and Su
Ki Ooi.
Nonasymptotic quality assessment of identified models.
In Proc. 15th World IFAC Congress, Barcelona, 2002.
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.
M. Prandini and M.C. Campi.
Logic-based switching for the
stabilization of stochastic systems in presence of
unmodeled dynamics.
In Proc. 40th Conf. on Decision and Control, Orlando, pages
393-398, 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.
S.Bittanti, M.C. Campi and M.
Prandini.
Penalized identification for
self-tuning control: an overview.
IFAC ALCOSP Workshop, Como, 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 and M. Vidyasagar.
Learning with prior information.
In the Proceedings of the 2000 IEEE International Symposium on
Circuits and Systems (ISCAS), Geneva, pages 255-258, vol.3,
2000.
M.C. Campi, R. Leonardi and L.A. Rossi.
Pole placement techniques for a
class of IIR blind equalizers.
In Proc. EUSIPCO, Tampere, 2000.
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.
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.
S. Bittanti, M.C. Campi and L. Guo.
Persistence of excitation properties
for the identification of time-varying systems.
In Proc. 39th Conf. on Decision and Control, Sydney, pages
680-685, 2000.
M. Prandini e M.C. Campi.
A self-optimizing adaptive LQG
control scheme for input-output systems.
In Proc. 39th Conf. on Decision and Control, Sydney, pages
1110-1115, 2000.
E. Weyer
and M.C. Campi.
Finite sample
properties in system identification methods.
In Proc. 38th Conf. on Decision and Control, Phoenix, 1999.
S. Bittanti and M.C. Campi.
Penalized identification methods for
self-tuning control.
In Symposium on Adaptive Systems (SPAS), St.Petersburg,
pages 17-22, 1999.
M.C. Campi, R. Leonardi and L. Rossi.
Generalized super-exponential
method for blind equalization using Kautz filters.
In IEEE Signal Processing Workhop
on Higher Order Statistics, Caesarea, pages 107-111, 1999.
M.C. Campi and M. Prandini.
Randomized
algorithms for the synthesis of adaptive controllers.
Int. Symposium on the Mathematical Theory of Network and
Systems, Padova, pages 723-726, 1998.
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.
M. Prandini, S. Bittanti and M.C. Campi.
The stabilizability issue in least
squares estimation: a penalized approach.
In Int. Symposium on the Mathematical Theory of Network and
Systems, Padova, pages 855-858, 1998.
S. Bittanti, M.C. Campi and S. Savaresi.
Notch filters versus funnel
filters in frequency estimation.
In Proc. Int. Symposium on Adaptive Control and Signal
Processing, Glasgow, 1998.
S. Bittanti and M.C. Campi.
Least squares identification of
time varying parameters: issues and trends.
In Proc. 11th IFAC Symposium on System Identification,
Fukuoka, 1997.
M.C. Campi.
Achieving
optimality in adaptive control: the Bet On the Best
approach.
In Proc. 36th Conf. on Decision and Control, San Diego, 1997.
M. Prandini and M.C. Campi.
Adaptive pole placement by means of
a simple, singularity free, identification algorithm.
In Proc. 36th Conf. on Decision and Control, San Diego, 1997.
M.C. Campi and P.R. Kumar.
Optimal adaptive
control of an LQG system.
In Proc. 35th Conf. on Decision and Control, Kobe, pages
349-353, 1996.
M.C. Campi and P.R. Kumar.
Learning dynamical
systems in a stationary environment.
In Proc. 35th Conf. on Decision and Control, Kobe, pages
2308-2311, 1996.
S. Bittanti and M.C. Campi.
Do self-tuning control systems tune?
In Proc. 13th World IFAC Congress, San Francisco, pages
115-120, 1996.
S. Bittanti, M.C. Campi, and M. Prandini.
Self-tuning
control based on penalized least squares identification
techniques.
In Proc. 35th Conference on Decision and Control, Kobe, pages
62-63, 1996.
M.C. Campi and M. Prandini.
Singularity free adaptive LQG control: stability and
optimality.
In Int. Symposium on the Mathematical Theory of Network and
Systems, St. Louis, 1996.
M. Prandini, M.C. Campi, and R. Leonardi.
A new algorithm for the automatic
search of the best delay in blind equalization.
In IEEE Digital Signal Processing Workshop, Loen, pages
458-461, 1996.
M. Prandini, M.C. Campi, and R.
Leonardi.
New results on the
evaluation of equalizers performance.
In IEEE Digital Signal
Processing Workshop, Loen, pages
462-465, 1996.
P. Belli, S. Bittanti, P. Bolzern,
M.C. Campi, A. De Marco, A. Ferretti, S. Malloggi,
and W. Prandoni.
A control system
for nitrogen oxides pollution abatement by SCR (selective
catalytic reduction).
In 13th World IFAC Congress, San Francisco, pages 13-18, 1996.
S. Bittanti,
P. Bolzern, M.C. Campi, A. De
Marco, R. Panseri, G. Poncia, and W. Prandoni.
A model of a
bubbling fluidized bed combustor for the estimation of the
char mass via extended kalman
filter.
In 13th World IFAC Congress, San Francisco, pages 67-72, 1996.
F. Lorito
and M.C. Campi.
Generalized forgetting techniques in adptive
RLS identification.
In CESA '96 IMAX Multiconference,
Lille, 1996.
S. Bittanti and M.C. Campi.
Self-optimality of adaptive
control systems based on the certainty equivalence
principle.
In Proc. 5th IFAC Symposium on Adaptive Systems in Control and
Signal Processing , Budapest, 1995.
S. Bittanti, M.C. Campi, and S. Savaresi.
Unbiased estimation of a sinusoid
in noise via notch filters.
In 5th IFAC Symposium on Adaptive Systems in Control and
Signal Processing, Budapest, pages 165-170, 1995.
R. Bardelli, S. Bittanti, P. Bolzern,
M.C. Campi, E. Carugati, A. De Marco, L. Piroddi, and W.
Prandoni.
Application of the extended
Kalman filter to the estimation of the char mass in a
fluidized bed combustor.
In 10th IFAC Symposium on System Identification, Copenhagen,
pages 247-252, 1994.
S. Bittanti
and M.C. Campi.
Least squares identification of autoregressive models with
time varying parameters.
In Proc. 33rd Conference on Decision and Control, Lake Buena
Vista, pages 3610-3611, 1994.
S. Bittanti and M.C. Campi.
Adaptive RLS identification of
time-varying parameters - when is the error bounded?
In 10th IFAC Symposium on System Identification, Copenhagen,
pages 367-372, 1994.
M.C. Campi and M. James.
Risk-sensitive
control: a bridge between $h_\infty$
and $h_2$ control.
In Proc. 32nd Conf. on Decision and Control, San Antonio,
pages 2179-2180, 1993.
M.C. Campi and F. Lorito.
Adaptive RLS identification with generalized forgetting
factor.
In Int. Symposium on the Mathematical Theory of Network and
Systems, Regensburg, pages 91-92, 1993.
M.C. Campi, W.S. Lee, and B.D.O.
Anderson.
Filters for internal model control design for unstable
plants.
In Proc. 32nd Conf. on Decision and Control, San Antonio,
pages 1343-1348, 1993.
S. Bittanti
and M.C. Campi.
A fake information matrix approach to the analysis of
finite memory RLS identification techniques.
In Proc. 32nd Conference on Decision and Control, San Antonio,
pages 2026-2031, 1993.
S. Bittanti, M.C. Campi, and F.Lorito.
ICSS: A program for the
identification and control of time varying systems.
In European Simulation Multiconference, pages 588-592, 1992.
S. Bittanti
and M.C. Campi.
Tuning the forgetting factor in RLS identification
algorithms.
In Proc. 30th Conference on Decision and Control, Brighton,
pages 1688-1689, 1991.
S.Bittanti and M.C. Campi.
Mean square convergence of an
adaptive RLS algorithm with stochastic excitation.
In Proc. 28th Conference on Decision and Control, Tampa, pages
1946-1951, 1989.
S. Bittanti, P. Bolzern, M.C.
Campi, and E. Coletti.
Deterministic convergence
analysis of RLS estimators with different forgetting
factors.
In Proc. 27th Conference on Decision and Control, Austin,
pages 1530-1531, 1988.