Marco C. Campi

Maria Prandini, Sergio Bittanti, Marco C. Campi, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Sampled Convex Programs and Probabilistically Robust Design

Giuseppe Carlo Calafiore, Marco C. Campi, 2006 .

Introduction to the Scenario Approach

Marco C. Campi, Simone Garatti, M. Campi, 2018 .

Filters for internal model control design for unstable plants

Brian D. O. Anderson, Marco C. Campi, Wee Sit Lee, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Learning dynamical systems in a stationary environment

Marco C. Campi, P. R. Kumar, P. Kumar, 1996, Proceedings of 35th IEEE Conference on Decision and Control.

Non-asymptotic quality assessment of generalised FIR models with periodic inputs

Erik Weyer, Su Ki Ooi, Marco C. Campi, 2004, Autom..

Finite sample properties of system identification methods

Erik Weyer, Marco C. Campi, M. Campi, 2002, IEEE Trans. Autom. Control..

Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Learning with prior information

Mathukumalli Vidyasagar, Marco C. Campi, 2001, IEEE Trans. Autom. Control..

Uncertain convex programs: randomized solutions and confidence levels

Giuseppe Carlo Calafiore, Marco C. Campi, G. Calafiore, 2005, Math. Program..

Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques

Balázs Csanád Csáji, Marco C. Campi, Algo Carè, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Notes on the Scenario Design Approach

Giuseppe Carlo Calafiore, Marco C. Campi, 2009, IEEE Transactions on Automatic Control.

A Learning Theory Approach to the Construction of Predictor Models

Marco C. Campi, Giuseppe Carlo Calafiore, G. Calafiore, 2003 .

Trends in systems and signals

Akira Sano, Christos G. Cassandras, Tomas McKelvey, 2005 .

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

Erik Weyer, Sangho Ko, Marco C. Campi, 2007, 2007 46th IEEE Conference on Decision and Control.

Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization

Marco C. Campi, Simone Garatti, Algo Carè, 2014, 2014 European Control Conference (ECC).

Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach

Sergio M. Savaresi, Marco C. Campi, M. Campi, 2006, IEEE Transactions on Automatic Control.

How much do we need to experiment in order to adapt?

Marco C. Campi, 2007, 2007 European Control Conference (ECC).

On a class of interval predictor models with universal reliability

Marco C. Campi, Simone Garatti, Algo Carè, 2019, Autom..

A New Classification Algorithm With Guaranteed Sensitivity and Specificity for Medical Applications

Marco C. Campi, Algo Carè, Federico A. Ramponi, 2018, IEEE Control Systems Letters.

Some Remarks on Multivariable Adaptive Control with Least Squares Parameter Estimaties

Sergio Bittanti, Marco C. Campi, S. Bittanti, 1991 .

A model of a bubbling fluidized bed combustor oriented to char mass estimation

Paolo Bolzern, Sergio Bittanti, Antonio De Marco, 2000, IEEE Transactions on Control Systems Technology.

Least Squares Based Self-Tuning Control Systems: Convergence, Stability and Optimality

Sergio Bittanti, Marco C. Campi, S. Bittanti, 1996 .

Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations

Fabio Baronio, Marco C. Campi, Simone Garatti, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Scenario optimization with relaxation: a new tool for design and application to machine learning problems

Marco C. Campi, Simone Garatti, M. Campi, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

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

Sergio M. Savaresi, Simone Formentin, Marco C. Campi, 2019, Syst. Control. Lett..

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

Erik Weyer, Sangho Ko, Marco C. Campi, 2015, Autom..

An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem

Sergio M. Savaresi, Marco C. Campi, Andrea Lecchini-Visintini, 2003, Eur. J. Control.

The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs

Marco C. Campi, Simone Garatti, M. Campi, 2008, SIAM J. Optim..

Kernel-based SPS

Gianluigi Pillonetto, Marco C. Campi, Algo Carè, 2018 .

UNCERTAINTY BOUNDS FOR KERNEL-BASED REGRESSION: A BAYESIAN SPS APPROACH

Gianluigi Pillonetto, Marco C. Campi, Algo Carè, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

How Many Experiments Are Needed to Adapt

Maria Prandini, Sergio Bittanti, Marco C. Campi, 2007 .

Decision Making in an Uncertain Environment: the Scenario based Optimization Approach

Marco C. Campi, Giuseppe Carlo Calafiore, G. Calafiore, 2004 .

Parameter identification for nonlinear systems: Guaranteed confidence regions through LSCR

Erik Weyer, Marco Dalai, Marco C. Campi, 2007, Autom..

Virtual reference feedback tuning for two degree of freedom controllers

Sergio M. Savaresi, Marco C. Campi, A. Lecchini, 2002 .

A new approach to controller design in presence of constraints

Maria Prandini, Marco C. Campi, 2007, 2007 46th IEEE Conference on Decision and Control.

Virtual Reference Feedback Tuning: A New Framework for Data-Based Design of PID and Linear Controllers

Sergio M. Savaresi, Marco C. Campi, A. Lecchini, 2001 .

New results on the evaluation of equalizers performance

Riccardo Leonardi, Maria Prandini, Marco C. Campi, 1996, 1996 IEEE Digital Signal Processing Workshop Proceedings.

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

Erik Weyer, Sangho Ko, Marco C. Campi, 2009, Autom..

Consensus and reliability: the case of two binary classifiers

Wpmh Maurice Heemels, Marco C. Campi, Federico Ramponi, 2019 .

Scenario Optimization for MPC

Maria Prandini, Marco C. Campi, Simone Garatti, 2018, Handbook of Model Predictive Control.

Guaranteed non-asymptotic confidence ellipsoids for FIR systems

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2013, 52nd IEEE Conference on Decision and Control.

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

Bernardo K. Pagnoncelli, Marco C. Campi, Daniel Reich, 2012, J. Optim. Theory Appl..

Iterative Feedback Tuning: a Direct Approach

Sergio M. Savaresi, Marco C. Campi, A Lcchini, 1998 .

Interval predictor models: Identification and reliability

Giuseppe Carlo Calafiore, Marco C. Campi, Simone Garatti, 2009, Autom..

Online Algorithms for the Construction of Guaranteed Confidence Sets for the Parameters of Time-varying Systems

Erik Weyer, Kelvin J. Layton, Marco C. Campi, 2009 .

Adaptive LQG Control of Input-Output Systems---A Cost-biased Approach

Maria Prandini, Marco C. Campi, M. Campi, 2000, SIAM J. Control. Optim..

Randomized min-max optimization: The exact risk of multiple cost levels

Marco C. Campi, Simone Garatti, Algo Carè, 2011, IEEE Conference on Decision and Control and European Control Conference.

Scenario Min-Max Optimization and the Risk of Empirical Costs

Marco C. Campi, Simone Garatti, Algo Carè, 2015, SIAM J. Optim..

Virtual Reference Feedback Tuning for industrial PID controllers

Sergio M. Savaresi, Simone Formentin, Marco C. Campi, 2014 .

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

Marco C. Campi, Simone Garatti, Algo Carè, 2019, Comput. Manag. Sci..

On the choice of the event trigger in event-based estimation

Sebastian Trimpe, Marco C. Campi, M. Campi, 2015, 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).

Expected shortfall: Heuristics and certificates

Marco C. Campi, Federico Ramponi, M. Campi, 2017, Eur. J. Oper. Res..

The scenario approach to robust control design

Giuseppe Carlo Calafiore, Marco C. Campi, G. Calafiore, 2006, IEEE Transactions on Automatic Control.

Wait-and-judge scenario optimization

Marco C. Campi, Simone Garatti, M. Campi, 2016, Mathematical Programming.

Advanced optimization methods for power systems

Louis Wehenkel, Patrick Panciatici, Daniel K. Molzahn, 2014, 2014 Power Systems Computation Conference.

Sensitivity shaping via virtual reference feedback tuning

Sergio M. Savaresi, Marco C. Campi, A. Lecchini, 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

Least squares estimates and the coverage of least squares costs

Marco C. Campi, Simone Garatti, Algo Carè, 2013, 52nd IEEE Conference on Decision and Control.

FAST - Fast Algorithm for the Scenario Technique

Marco C. Campi, Simone Garatti, Algo Carè, 2014, Oper. Res..

Old and New Challenges in Finite-Sample System Identification

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2018 .

Tuning regularization via scenario optimization

Sergio M. Savaresi, Simone Formentin, Marco C. Campi, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2018, IEEE Transactions on Signal Processing.

Finite sample properties of system identification with quantized output data

Erik Weyer, Sangho Ko, Marco C. Campi, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Pole Placement Techniques for a Class of Blind IIR Equalizers

Riccardo Leonardi, Lorenzo A. Rossi, Marco C. Campi, 2000 .

Reflections on ‘adaptive prediction’

Marco C. Campi, M. Campi, 1994 .

New filters for internal model control design

Brian D. O. Anderson, Marco C. Campi, Wee Sit Lee, 1994 .

The exact feasibility of randomized solutions of robust convex programs

Marco C. Campi, Simone Garatti, 2008 .

Non-Asymptotic Confidence Sets for the Parameters of Linear Transfer Functions

Erik Weyer, Marco C. Campi, M. Campi, 2010, IEEE Transactions on Automatic Control.

Finite-Sample System Identification: An Overview and a New Correlation Method

Erik Weyer, Marco C. Campi, Balázs Cs. Csáji, 2018, IEEE Control Systems Letters.

The scenario approach for systems and control design

Maria Prandini, Marco C. Campi, Simone Garatti, 2009, Annu. Rev. Control..

Learning for Control: a Bayesian Scenario Approach

Marco C. Campi, Simone Garatti, M. Campi, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Keynote 1: "Wait-and-judge ín scenario optimization"

Marco C. Campi, 2017, CoDIT.

Non-asymptotic confidence ellipsoids for the least-squares estimate

Erik Weyer, Marco C. Campi, 2002, Autom..

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

Marco C. Campi, M. Campi, 1994, IEEE Trans. Signal Process..

The asymptotic model quality assessment for instrumental variable identification revisited

Sergio Bittanti, Marco C. Campi, Simone Garatti, 2006, Syst. Control. Lett..

Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers

Sergio M. Savaresi, Marco C. Campi, A. Lecchini, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

Non-convex scenario optimization with application to system identification

Marco C. Campi, Simone Garatti, Federico Ramponi, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Strong consistency of the Sign-Perturbed Sums method

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2014, 53rd IEEE Conference on Decision and Control.

Unbiased Estimation of a Sinusoid in Noise Via Notch Filters

Sergio M. Savaresi, Sergio Bittanti, Marco C. Campi, 1995 .

Persistence of Excitation Properties for Time-Varying Autoregressive Systems

Sergio Bittanti, Marco C. Campi, S. Bittanti, 2000, SIAM J. Control. Optim..

The risk of making decisions from data through the lens of the scenario approach

Marco C. Campi, Simone Garatti, M. Campi, 2021, IFAC-PapersOnLine.

Facing undermodelling in Sign-Perturbed-Sums system identification

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2021, Syst. Control. Lett..

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

Marco Dalai, Marco C. Campi, Algo Carè, 2021, J. Syst. Sci. Complex..

Risk-sensitive control: a bridge between H/sub 2/ and H/sub /spl infin// control

M. R. James, Marco C. Campi, M. James, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Variable robustness control: principles and algorithms

Marco C. Campi, Simone Garatti, M. Campi, 2010 .

A counter example to the exponential convergence of the directional forgetting algorithm

Paolo Bolzern, Sergio Bittanti, Marco C. Campi, 1990 .

A new bound on the generalization rate of sampled convex programs

Giuseppe Carlo Calafiore, Marco C. Campi, G. Calafiore, 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

Global non-asymptotic confidence sets for general linear models

Erik Weyer, Marco C. Campi, M. Campi, 2005 .

Adaptive control of non‐minimum phase systems

Marco C. Campi, M. Campi, 1995 .

Non-asymptotic confidence ellipsoids for the least squares estimate

Erik Weyer, Marco C. Campi, 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

A Control System for Nitrogen Oxides Pollution Abatement by SCR (Selective Catalytic Reduction)

Paolo Bolzern, Sergio Bittanti, Marco C. Campi, 1996 .

Effective identification algorithms for adaptive control

Sergio Bittanti, Marco C. Campi, F. Lorito, 1992 .

Non-asymptotic Model Quality Assessment of Transfer Functions at Multiple Frequency Points

Erik Weyer, Sangho Ko, Marco C. Campi, 2008 .

Generalized super-exponential method for blind equalization using Kautz filters

Riccardo Leonardi, Marco C. Campi, L. A. Rossi, 1999, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99.

FAST: an algorithm for the scenario approach with reduced sample complexity

Marco C. Campi, Simone Garatti, Algo Carè, 2011 .

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

Paolo Bolzern, Sergio Bittanti, Marco C. Campi, 1989 .

IDENTIFICATION WITH FINITELY MANY DATA POINTS: THE LSCR APPROACH

Erik Weyer, Marco C. Campi, M. Campi, 2006 .

THE SCENARIO APPROACH TO ROBUST CONTROL DESIGN1

Giuseppe Carlo Calafiore, Marco C. Campi, 2006 .

NON-ASYMPTOTIC QUALITY ASSESSMENT OF THE LEAST SQUARES ESTIMATE

Erik Weyer, Su Ki Ooi, Marco C. Campi, 2002 .

NONLINEAR DISCRETE‐TIME RISK‐SENSITIVE OPTIMAL CONTROL

Matthew R. James, Marco C. Campi, M. James, 1996 .

Technical Notes and Correspondence Adaptive RLS Algorithms Under Stochastic Excitation--L2 Convergence Analysis

Sergio Bittanti, Marco C. Campi, S. Bittanti, 1991 .

Non-asymptotic quality assessment of generalised FIR models

Erik Weyer, Su Ki Ooi, Marco C. Campi, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Robust convex optimization: The scenario approach

Giuseppe Carlo Calafiore, Marco C. Campi, 2006 .

Layers and the Probability of False Prediction ⋆

Marco C. Campi, Simone Garatti, 2009 .

Non-asymptotic confidence sets for the parameters of ARMAX models

Erik Weyer, Marco C. Campi, M. Campi, 2004 .

NEW RESULTS ON THE IDENTIFICATION OF INTERVAL PREDICTOR MODELS

Giuseppe Carlo Calafiore, Marco C. Campi, Simone Garatti, 2005 .