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links to files in ps and pdf format.

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me an email: campi@ing.unibs.it

**Articles in Journals**

S. Garatti, M.C. Campi

*Non-convex scenario optimization *

M.C. Campi, S. Garatti

*Compression, Generalization and Learning. *

S. Garatti, M.C. Campi

*On Conditional Risk Assessments in Scenario Optimization. *

M.C. Campi

*Inductive knowledge under dominance. *

S. Garatti, A. Carč, M.C. Campi

*Complexity is
an effective observable to tune early stopping in scenario
optimization. *

(DOI: 10.1109/TAC.2022.3153888)

M.C. Campi, A. Carč, S. Garatti.

*The scenario approach: A
tool at the service of data-driven decision
making.
*

G. Arici, M.C. Campi, A. Carč, M. Dalai, F.A. Ramponi.

*A
Theory of the Risk for Empirical CVaR with
Application to Portfolio Selection.
*

M.C. Campi, S. Garatti

A Theory of the Risk for Optimization with
Relaxation and its Application to Support Vector Machines.

A. Carč,
M.C. Campi, E. Weyer.

*State
Conditional Filtering.
*

*
*A. Carč,
M.C. Campi, B.C. Csaji, E. Weyer.

A.T.J.R. Cobbenhagen, A. Carč, M.C. Campi, F.A. Ramponi, D.J. Antunes, W.P.M.H. Heemels

S. Garatti and M.C. Campi.

S. Garatti, M.C. Campi, A. Carč,

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

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

*Scenario-based Economic Dispatch with Tunable
Risk Levels in High-renewable Power Systems*.

**IEEE Trans. on Power Systems**, Vol. 34(6), 5103-5114, 2019.

DOI: 10.1109/TPWRS.2018.2874464

A. Carč, 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.

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

*Expected shortfall: Heuristic and certificates.*

**European Journal of Operational Research**, 267, 1003-1013, 2018.

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.

*Scenario-based Economic
Dispatch with Uncertain
Demand Response.*

**IEEE Trans. on Smart Grid**, 2017.

DOI: 10.1109/TSG.2017.2778688.

A. Carč, 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,**Online
ISSN:**
2475-1456 , 2017.

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,

A. Caré, S. Garatti and M.C. Campi.

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

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

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

A. Caré, S. Garatti and M.C. Campi.

M.C. Campi and A. Carč.

S. Garatti and M.C. Campi.

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

M.C. Campi and S. Garatti.

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.**
*

M.C. Campi and G. Calafiore.

M.C. Campi and S. Garatti.

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

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

S. Bittanti and M.C. Campi.

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

G. Calafiore and M.C. Campi.

M.C. Campi and S.M. Savaresi.

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

M.C. Campi and E. Weyer.

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

G. Calafiore and M.C. Campi.

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.