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Marco C. Campi

Marco C. Campi

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
10051
World Ranking
6398
National Ranking
209

Research.com Recognitions

  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2012 - IEEE Fellow For contributions to stochastic and randomized methods in systems and control

Overview

Marco C. Campi is affiliated with the University of Brescia in Italy. Their research focuses primarily on the fields of Engineering, Computer Science, and Decision Sciences. Within these disciplines, their work dives deeply into several subfields including Control and Systems Engineering, Artificial Intelligence, Management Science and Operations Research, Statistics, Probability and Uncertainty, and Ocean Engineering.

Their main topics of research encompass Risk and Portfolio Optimization, Control Systems and Identification, Fault Detection and Control Systems, Probabilistic and Robust Engineering Design, Reservoir Engineering and Simulation Methods, Machine Learning and Algorithms, and Advanced Multi-Objective Optimization Algorithms.

Marco C. Campi's published work features a number of recent papers, including:

  • "The scenario approach: A tool at the service of data-driven decision making," 2021, Annual Reviews in Control
  • "Scenario optimization with relaxation: A new tool for design and application to machine learning problems," 2020, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)

Frequent co-authors contributing to Marc C. Campi's research include Simone Garatti, Algo Carè, Erik Weyer, Federico Ramponi, and Balázs Csanád Csáji.

Publication venues where their work frequently appears include arXiv (Cornell University), IFAC-PapersOnLine, IEEE Transactions on Automatic Control, Annual Reviews in Control, and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

Marco C. Campi has been recognized with awards such as Fellow of the International Federation of Automatic Control (IFAC) awarded in 2017 and IEEE Fellow in 2012 for contributions to stochastic and randomized methods in systems and control.

Best Publications

  • The scenario approach to robust control design

    G.C. Calafiore;M.C. Campi

  • Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers

    M. C. Campi;A. Lecchini;S. M. Savaresi

  • Uncertain convex programs: randomized solutions and confidence levels

    Giuseppe Carlo Calafiore;Marco C. Campi

  • The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs

    M. C. Campi;S. Garatti

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

    Marco C. Campi;Simone Garatti

  • The scenario approach for systems and control design

    Marco C. Campi;Simone Garatti;Maria Prandini

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

    M.C. Campi;S.M. Savaresi

  • Virtual reference feedback tuning for two degree of freedom controllers

    A. Lecchini;MC Campi;SM Savaresi

  • Wait-and-judge scenario optimization

    Marco C. Campi;Simone Garatti

  • A General Scenario Theory for Nonconvex Optimization and Decision Making

    Marco Claudio Campi;Simone Garatti;Federico Alessandro Ramponi

  • Interval predictor models: Identification and reliability

    M. C. Campi;G. Calafiore;S. Garatti

  • Guaranteed non-asymptotic confidence regions in system identification

    M. C. Campi;E. Weyer

  • Finite sample properties of system identification methods

    M.C. Campi;E. Weyer

  • Convergence and exponential convergence of identification algorithms with directional forgetting factor

    S. Bittanti;P. Bolzern;M. Campi

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

    Marco C. Campi;Andrea Lecchini;Sergio M. Savaresi

  • Modulating robustness in control design: Principles and algorithms

    S. Garatti;M. C. Campi

  • The exact feasibility of randomized solutions of robust convex programs

    M. C. Campi;Simone Garatti

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

    Balázs Csanád Csáji;Marco Claudio Campi;Erik Weyer

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

    M.C. Campi;A. Lecchini;S.M. Savaresi

  • ADAPTIVE CONTROL OF LINEAR TIME INVARIANT SYSTEMS: THE "BET ON THE BEST" PRINCIPLE ∗

    S. Bittanti;M. C. Campi

  • Finite sample properties of system identification methods

    E. Weyer;M.C. Campi

Frequent Co-Authors

Sergio Bittanti
Sergio Bittanti Polytechnic University of Milan
Giuseppe Carlo Calafiore
Giuseppe Carlo Calafiore Polytechnic University of Turin
Sergio M. Savaresi
Sergio M. Savaresi Polytechnic University of Milan
P. R. Kumar
P. R. Kumar Texas A&M University
Le Xie
Le Xie Texas A&M University
Joao P. Hespanha
Joao P. Hespanha University of California, Santa Barbara
Matthew R. James
Matthew R. James Australian National University
Christos G. Cassandras
Christos G. Cassandras Boston University
Toshiharu Sugie
Toshiharu Sugie Kyoto University
Maurice Heemels
Maurice Heemels Eindhoven University of Technology

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