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**Articles in Journals
**

A. Carè, F.A. Ramponi, M.C. Campi.

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

IEEE Control Systems Letters, **DOI:
**10.1109/LCSYS.2018.2840427, 2018.

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

A
General Scenario Theory for Nonconvex Optimization and Decision making.

IEEE Transactions on Automatic Control,
**DOI: ** 10.1109/TAC.2018.2808446,
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.