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

Book Chapters

M.C. Campi, S. Garatti and M. Prandini.
Scenario optimization for MPC.
In: Handbook of Model Predictive Control. (Saša V. Rakovic ´William S. Levine Editors). Birkhauser, 2018.

M.C. Campi, S. Garatti and M. Prandini.
The scenario approach for systems and control design.
In: Plenary Papers, Milestone Reports & Selected Survey Papers (M.J. Chung and P. Misra eds.). IFAC WC 2008,  pages 180-188, 2008.

S. Bittanti, M.C. Campi and M. Prandini.
How many experiments are needed in order to adapt?
In: Modeling, Estimation and Control (A. Chiuso, A. Ferrante and S. Pinzoni eds.). Springer, vol. 364, pages 5-14, 2007.

M. Prandini, M.C. Campi and S. Garatti.
Controller design through random sampling: an example.
In: Advances in Control Theory and Applications (C. Bonivento, A. Isidori, L. Marconi and C. Rossi eds.). Springer, vol. 353, pages 201-212, 2007.

G. Calafiore and M.C. Campi.
Sampled Convex Programs and Probabilistically Robust Design.
In: Probabilistic and Randomizaed Methods for design unde Uncertainty (G. Calafiore, F. Dabbene eds.). Springer-Verlag, 2006.

M.C. Campi and G. Calafiore.
Decision Making in an Uncertain Environment: the Scenario based Optimization Approach.
In: Multiple Participant Decision Making (J. Andrysek, M. Karny and J. Kracik eds.). Advanced Knowledge International, pages 99-111, 2004.

G. Calafiore and M.C. Campi.
A Learning Theory Approach to the Construction of Predictor Models.
In: DCDS - Dynamical Systems and Differential Equations, 2003.

M.Vidyasagar and M.C. Campi.
Learning with prior information.
Volume in honor of Karl Astrom (B. Wittenmark and A. Rantzer eds.). Studentlitteratur, pages 143-168, 1999.

M.C. Campi and P.R. Kumar.
Learning functional relationships in high dimensions: an assessment of perceptrons, neural networks, and other methodologies.
Volume in honor of Karl Astrom (B. Wittenmark and A. Rantzer eds.). Studentlitteratur, pages 169-198, 1999.

S. Bittanti and M.C. Campi.
Least squares based self-tuning control systems.
In: Identification, Adaptation, Learning. The science of learning models from data (S.Bittanti and G.Picci eds.). Springer-Verlag NATO ASI series - Computer and systems sciences, pages 339-365, 1996.

S. Bittanti and M.C. Campi.
Some remarks on multivariable adaptive control with least squares parameter estimates.
In: Modeling, Estimation and Control of Systems with Uncertainty (G. Di Masi, A. Gombani and A. Kurzhanski eds.). Birkhauser, Boston, pages 40-57, 1991.

S. Bittanti and M.C. Campi.
Mean square convergence of an adaptive RLS algorithm with stochastic  excitation.
In: Advances in adaptive control (K.S. Narendra, R. Ortega and P. Dorato eds.). IEEE Press, New York, pages 1946-1951, 1991.