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**Articles in Journals**

S. Formentin, M.C. Campi, A. Carè, S.M. Savaresi.

Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design.

Systems & Control Letters, 2019, to appear.

S.Yu. Pilyugin, M.C. Campi.

Opinion formation in voting processes \\ under bounded confidence.

Networks & Heterogeneous media, 2019, to appear.

A. Carè, S. Garatti, M.C. Campi.

The wait-and-judge scenario approach applied to antenna array design.

Computational Management Science.

M.S.
Modarresi, Le Xie, M.C. Campi, S. Garatti, A. Carè, A.A.
Thatte, P. R. Kumar.

IEEE Trans. on Power Systems, 2018, to appear.

DOI: 10.1109/TPWRS.2018.2874464

A. Carè,
F.A. Ramponi, M.C. Campi.

A
new classification algorithm with guaranteed sensitivity and
specificity for medical applications.

IEEE Control Systems Letters,
vol. 2, issue 3, 393 - 398, 2018.

M.C. Campi, S.
Garatti, F.A. Ramponi

A
General Scenario Theory for Nonconvex Optimization and Decision making.

IEEE Trans. on Automatic Control,
AC-63, 4067-4078, 2018.

M.C. Campi and
S. Garatti.

Wait-and-Judge
Scenario Optimization.

Mathematical Programming, 167(1),
155-189, 2018.

Federico
Alessandro Ramponi, M.C. Campi.

Expected shortfall:
Heuristic and certificates.

European Journal of
Operational Research, ISSN 0377-2217, 2017.

E. Weyer, M.C.
Campi, B.C. Csaji,

Asymptotic properties
of SPS confidence regions.

Automatica, Vol. 82, pp. 287-294, 2017.

H.
Ming, L. Xie, M.C. Campi, S. Garatti, P. R. Kumar.

IEEE Trans. on Smart Grid, 2017.

DOI: 10.1109/TSG.2017.2778688.

A. Carè, B.C. Csaji, M.C. Campi and E. Weyer.

Finite-Sample System Identification: An overview and a new correltation method.

IEEE Control Systems Letters, DOI 10.1109/LCSYS.2017.2720969,

A. Caré, S. Garatti and M.C. Campi.

A Coverage Theory for Least Squares.

Journal of the Royal Statistical Society B, 79, Part 5, pp. 1367–1389, 2017.

S. Ko, E. Weyer and M.C. Campi,

Non-asymptotic model quality assessment of transfer functions at multiple frequency points.

Automatica, 60:65-78, 2015.

A. Caré, S. Garatti and M.C. Campi.

SIAM Journal on Optimization, 25, no.4: 2061-2080, 2015.

(article winner of the 2016 stochastic programming student paper prize)

B.C. Csaji, M.C. Campi and E. Weyer.

Sign-Perturbed Sums: A New System Identificaiton Approach for Contructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models.

IEEE Trans. on Signal Processing, 63, no.1: 169-181, 2015.

S. Ko, E. Weyer and M.C. Campi.

Non-asymptotic model quality assessment of transfer functions at multiple frequency points.

Automatica, 60:65-78, 2015.

A. Caré, S. Garatti and M.C. Campi.

FAST - Fast Algorithm for the Scenario Technique.

M.C. Campi and A. Carè.

Random convex programs with L1-regularization: sparsity and generalization.

S. Garatti and M.C. Campi.

Modulating Robustness in Control Design: Principles and Algorithms.

B.K. Pagnoncelli, D. Reich and M.C. Campi.

Risk-Return Trade-off with the Scenario Approach in Practice: A Case Study in Portfolio Selection.

M.C. Campi and S. Garatti.

A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality.

M.C. Campi.

European Journal of Control, 5:419-430, 2010.

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.M.C. Campi.

Machine Learning, 80:63-84, 2010.

M.C. Campi and E. Weyer.

IEEE Trans. on Automatic Control, AC-55, 2708-2720, 2010.

S Garatti, S. Bittanti and M.C. Campi.

Iterative robust control: speeding up improvement through iterations.

Syst. Contr. Lett., 59:139-146, 2010.

M.C. Campi, S. Garatti and M. Prandini.

The Scenario Approach for Systems and Control Design.

Annual Reviews in Control, 33:149-157, 2009.

M.C. Campi, S. Ko and E. Weyer.

Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics.

Automatica, 45:2175-2186, 2009.

M.C. Campi, G. Calafiore and S. Garatti.

Interval Predictor Models: Identification and Reliability.

Automatica, 45:382-392, 2009.

M.C. Campi and G. Calafiore.

Notes on the scenario design approch.

IEEE Trans. on Automatic Control, AC-54, 382-385, 2009.

M.C. Campi and S. Garatti.

The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs.

M.C. Campi, T. Sugie and F. Sakai

An iterative identification method for linear continuous-time systems.

IEEE Trans. on Automatic Control, AC-53:1661-1669, 2008.

M. Dalai, E. Weyer and M.C. Campi.

Parameter Identification for Nonlinear Systems: Guaranteed Confidence regions through LSCR.

Automatica, 43:1418-1425, 2007.

S. Bittanti and M.C. Campi.

Adaptive Control of Linear Time Invariant Systems: The ``Bet On the Best" Principle.

Communications in Information and Systems, 6:299-320, 2006.

T. Katayama, T. McKelvey, A. Sano, C. Cassandras and M.C. Campi.

Trends in systems and signals.

Annual Reviews in Control, 30:5-17, 2006.

G. Calafiore and M.C. Campi.

The Scenario Approach to Robust Control Design.

IEEE Trans. on Automatic Control, AC-51:742-753, 2006.

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.

S. Garatti, M.C. Campi and S. Bittanti.

The asymptotic model quality assessment for instrumental variable identification revisited.

Syst. Contr. Lett., 55:494-500, 2006.

M.C. Campi and E. Weyer.

Automatica, 41:1751-1764, 2005.

(the downloadable file is an extended version (with all proofs) of the Automatica paper)

G. Calafiore and M.C. Campi.

Mathematical Programming, 102, no.1: 25-46, 2005.

Electronic version made available by SPRINGER at: DOI 10.1007/s10107-003-0499-y

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.

S. Garatti, M.C. Campi and S. Bittanti.

*Assessing
the quality
of identified models through the asymptotic
theory - When is the result reliable?*

Automatica, 40:1319-1332, 2004.

M.C. Campi, J.P. Hespanha and M. Prandini.

*Cautious
hierarchical switching control of stochastic linear systems.*

Int. J. Adapt. Control and Signal
Process., invited paper for the
Special
Issue on "New Approaches to Adaptive Control", 18:319-333, 2004.

G. Calafiore and M.C. Campi.

*A learning
theory approach to the construction of predictor models.*

Discrete and Continuous Dynamical
Systems (ISSN 1078-0947), 156:166,
supplement volume 2003.

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.

M.C. Campi and M. Prandini.

*Randomized
algorithms
for the synthesis of cautious adaptive controllers.*

Syst. Contr. Lett., invited
paper for the Special Issue on "Adaptive
Systems", 49:21-36, 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 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, 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 M. Vidyasagar.

*Learning
with prior information.*

IEEE Trans. on Automatic Control,
AC-46:1682-1695, 2001.

M.Prandini and M.C. Campi.

*Adaptive LQG
control of
input-output
systems - A cost-biased approach.*

SIAM J. Control and Optim., 39,
no 5: 1499-1519, 2001.

S. Bittanti and M.C. Campi.

*Persistence
of
excitation
properties for time-varying autoregressive systems.*

SIAM J. Control and Optim., 39,
no.1:133-140, 2001.

S. Bittanti, P. Bolzern, M.C. Campi, A. De Marco, G. Poncia and W.
Prandoni.

*Modelling
of a fluidised bed combustors with char mass estimation purposes.*

IEEE Trans. on Control Systems
technology, CST-8:247--256, 2000.

M.C. Campi and P.R. Kumar.

*Adaptive
Linear
Quadratic
Gaussian
control: the cost-biased approach revisited.*

SIAM J. Control and Optim., 36,
no.6:1890-1907, 1998.

M.C. Campi and P.R. Kumar.

*Learning
dynamical
systems in a stationary environment.*

Syst. Contr. Lett., Special
Issue on "Learning Theory", 34:125-132,
1998.

M. Prandini and M.C. Campi.

*A new
recursive
identification
algorithm for singularity free adaptive control.*

Syst. Contr. Lett., 34:177-183,
1998.

M. Prandini, S. Bittanti and M.C. Campi.

*A
penalized identification criterion for securing controllability in
adaptive
control.*

J. of Mathematical Systems, Estimation
and Control. Summary in vol.8,
no.4: 491-494, retrieval code for full electronic manuscript: 29460,
1998.

M.C. Campi.

*A unique representation theorem for the conditional expectation
of stationary processes and application to dynamic estimation problems.*

J. of Applied Probability,
34:372-380, 1997.

M.C. Campi.

*Performance of RLS
identification algoritms with forgetting factor: a $\phi$-mixing
approach.*

J. of Mathematical Systems, Estimation
and Control, 7:29-53, 1997.

S. Bittanti, M.C. Campi, and S. Savaresi.

*Unbiased
estimation of a sinusoid in colored noise via adapted notch
filters.*

Automatica, 33:209-215, 1997.

M. Prandini, M.C. Campi, and R. Leonardi.

*Optimal delay
estimation
and performance evaluation in blind equalization.*

Int. J. Adapt. Control and Signal
Process., 11:621-640, 1997.

M.C. Campi and M. James.

*Nonlinear
discrete-time risk-sensitive optimal control.*

Int. J. Robust and Nonlinear Control,
6:1-19, 1996.

M.C. Campi.

*The
problem of pole-zero cancellation in transfer function
identification
and application to adaptive stabilization.*

Automatica, 32:849-857, 1996.

M.C. Campi.

*Adaptive control of non-minimum phase systems.*

Int. J. Adapt. Control and Signal
Process., 9:137-149, 1995.

M.C. Campi.

*Exponentially
weighted least squares identification of time-varying
systems with white disturbances.*

IEEE Trans. on Signal Processing,
SP-42:2906-2914, 1994.

M.C. Campi.

*Reflections on "adaptive prediction".*

J. of the Franklin Institute,
331B:251-264, 1994.

S. Bittanti and M.C. Campi.

*Bounded
error identification of time-varying parameters by RLS
techniques.*

IEEE Trans. on Automatic Control,
AC-39:1106-1110, 1994.

M.C. Campi, W.S. Lee, and B.D.O. Anderson.

*New filters for
internal model control design.*

Int. J. Robust and Nonlinear Control,
4:757-775, 1994.

S. Bittanti, M.C. Campi and F. Lorito.

*Effective identification algorithms for adaptive control.*

Int. J. Adapt. Control and Signal
Process., 6:221-235, 1992.

S.Bittanti and M.C. Campi.

*Some remarks on self-tuning controllers based on least squares and
modified least squares: a comprehensive approach.*

Technical Cybernetics, 6:48-54,
1992 (in Russian).

M.C. Campi.

*On the convergence of minimum-variance directional-forgetting
adaptive
control schemes.*

Automatica, 28:221-225, 1991.

S. Bittanti and M.C. Campi.

*Adaptive
RLS algorithms under stochastic excitation - $l^2$
convergence
analysis.*

IEEE Trans. on Automatic Control,
AC-36:963-967, 1991.

S. Bittanti and M.C. Campi.

*Adaptive RLS algorithms under stochastic excitation - strong
consistency
analysis.*

Syst. Contr. Lett., 17:3-8,
1991.

S. Bittanti, P. Bolzern, and M.C. Campi.

*Recursive least
squares identification algorithms with incomplete
excitation: convergence analysis and application to adaptive control.*

IEEE Trans. on Automatic Control,
AC-35:1371-1373, 1990.

S. Bittanti, P. Bolzern, and M.C. Campi.

*Convergence and exponential convergence of identification algorithms
with directional forgetting factor.*

Automatica, 26:929-932, 1990.

S. Bittanti, P. Bolzern, and M.C. Campi.

*Exponential convergence of a modified directional forgetting
identification
algorithm.*

Syst. Contr. Lett., 14:131-137,
1990.

S. Bittanti, P. Bolzern, and M.C. Campi.

*A counterexample to the exponential convergence of the directional
forgetting algorithm.*

Int. J. Adapt. Control and Signal
Process., 4:237-244, 1990.

S. Bittanti, P. Bolzern, and M.C. Campi.

*Adaptive identification via prediction-error directional forgetting
factor: convergence analysis.*

Int. J. Contr., 50:2407-2421,
1989.