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Conference paper
S D. Paccagnan, M.C. Campi, S. Garatti
37th Conference on Neural Information Processing Systems - Neurips2022
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.