Marco Claudio Campi

Marco Claudio Campi's AcademicInfluence.com Rankings

Marco Claudio Campi

Engineering

#6911

World Rank

#8265

Historical Rank

Systems Engineering

#83

World Rank

#86

Historical Rank

Applied Physics

#2708

World Rank

#2751

Historical Rank

engineering Degrees

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Engineering

Why Is Marco Claudio Campi Influential?

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According to Wikipedia, Marco Claudio Campi is an engineer and a mathematician who specializes in data science and inductive methods. He holds a permanent appointment with the University of Brescia, Italy, while also collaborating with various research institutions, universities and NASA. Since 2012, he has been a Fellow of the Institute of Electrical and Electronics Engineers and since 2020 a Fellow of the International Federation of Automatic Control.

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Marco Claudio Campi's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The scenario approach to robust control design (2006) (1030)
Virtual reference feedback tuning: a direct method for the design of feedback controllers (2002) (856)
Uncertain convex programs: randomized solutions and confidence levels (2005) (734)
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs (2008) (498)
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality (2011) (375)
The scenario approach for systems and control design (2009) (374)
Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach (2006) (235)
Virtual reference feedback tuning for two degree of freedom controllers (2001) (130)
Wait-and-judge scenario optimization (2018) (126)
Interval predictor models: Identification and reliability (2009) (111)
Convergence and exponential convergence of identification algorithms with directional forgetting factor (1990) (105)
Finite sample properties of system identification methods (1999) (99)
A General Scenario Theory for Nonconvex Optimization and Decision Making (2018) (96)
Guaranteed non-asymptotic confidence regions in system identification (2005) (95)
An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem (2003) (90)
Adaptive Linear Quadratic Gaussian Control: The Cost-Biased Approach Revisited (1998) (77)
Modulating robustness in control design: Principles and algorithms (2013) (77)
The exact feasibility of randomized solutions of robust convex programs (2008) (72)
Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers (2000) (66)
Unbiased estimation of a sinusoid in colored noise via adapted notch filters (1997) (64)
Assessing the quality of identified models through the asymptotic theory - when is the result reliable? (2004) (59)
Scenario-Based Economic Dispatch With Uncertain Demand Response (2017) (57)
Decision Making in an Uncertain Environment: the Scenario based Optimization Approach (2004) (56)
Scenario Min-Max Optimization and the Risk of Empirical Costs (2015) (56)
Introduction to the Scenario Approach (2018) (52)
Recursive least-squares identification algorithms with incomplete excitation: convergence analysis and application to adaptive control (1990) (51)
FAST - Fast Algorithm for the Scenario Technique (2014) (50)
Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design (2019) (48)
Advanced optimization methods for power systems (2014) (47)
Iterative identification method for linear continuous-time systems (2008) (47)
Random Convex Programs with L1-Regularization: Sparsity and Generalization (2013) (47)
Learning dynamical systems in a stationary environment (1996) (46)
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models (2018) (45)
Non-Asymptotic Confidence Sets for the Parameters of Linear Transfer Functions (2010) (44)
Finite-Sample System Identification: An Overview and a New Correlation Method (2018) (43)
Performance of RLS identification algorithms with forgetting factor : A Φ-mixing approach (1997) (42)
On the choice of the event trigger in event-based estimation (2015) (40)
ADAPTIVE CONTROL OF LINEAR TIME INVARIANT SYSTEMS: THE "BET ON THE BEST" PRINCIPLE ∗ (2006) (40)
Risk and complexity in scenario optimization (2019) (40)
Bounded error identification of time-varying parameters by RLS techniques (1994) (39)
Scenario-Based Economic Dispatch With Tunable Risk Levels in High-Renewable Power Systems (2019) (37)
The problem of pole-zero cancellation in transfer function identification and application to adaptive stabilization (1996) (36)
New filters for internal model control design (1994) (35)
Notes on the Scenario Design Approach (2009) (34)
Risk-Return Trade-off with the Scenario Approach in Practice: A Case Study in Portfolio Selection (2012) (34)
Non-asymptotic confidence ellipsoids for the least-squares estimate (2002) (34)
Adaptive LQG Control of Input-Output Systems---A Cost-biased Approach (2000) (33)
Trends in systems and signals (2005) (31)
Classification with guaranteed probability of error (2010) (31)
Non-Asymptotic Confidence Regions for the Least-Squares Estimate (2012) (31)
Non-convex scenario optimization with application to system identification (2015) (30)
Non-asymptotic confidence ellipsoids for the least squares estimate (2000) (28)
Exponentially weighted least squares identification of time-varying systems with white disturbances (1994) (28)
NONLINEAR DISCRETE‐TIME RISK‐SENSITIVE OPTIMAL CONTROL (1996) (28)
Identification of Reliable Predictor Models for Unknown Systems: a Data-Consistency Approach based on Learning Theory (2002) (28)
An application of the Virtual Reference Feedback Tuning ( VRFT ) method to a benchmark active suspension system ∗ (27)
An Iterative Identification Method for Linear Continuous-Time Systems (2006) (27)
Asymptotic properties of SPS confidence regions (2017) (27)
Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics (2007) (26)
Exponential convergence of a modified directional forgetting identification algorithm (1990) (25)
Parameter identification for nonlinear systems: Guaranteed confidence regions through LSCR (2007) (23)
Why Is Resorting to Fate Wise? A Critical Look at Randomized Algorithms in Systems and Control (2010) (22)
A New Classification Algorithm With Guaranteed Sensitivity and Specificity for Medical Applications (2018) (22)
Virtual Reference Feedback Tuning for industrial PID controllers (2014) (21)
Robust convex programs: randomized solutions and applications in control (2003) (20)
On a class of interval predictor models with universal reliability (2019) (20)
Adaptive identification via prediction-error directional-forgetting factor: convergence analysis (1989) (20)
Randomized algorithms for the synthesis of cautious adaptive controllers (2003) (18)
Expected shortfall: Heuristics and certificates (2017) (18)
Adaptive RLS algorithms under stochastic excitation-L/sup 2/ convergence analysis (1991) (18)
Iterative robust control: Speeding up improvement through iterations (2010) (17)
Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems (2012) (17)
Cautious hierarchical switching control of stochastic linear systems (2004) (17)
IDENTIFICATION WITH FINITELY MANY DATA POINTS: THE LSCR APPROACH (2006) (17)
Learning with prior information (2000) (16)
Finite sample properties of system identification with quantized output data (2009) (16)
A model of a bubbling fluidized bed combustor oriented to char mass estimation (2000) (16)
Deterministic convergence analysis of RLS estimators with different forgetting factors (1988) (15)
A new bound on the generalization rate of sampled convex programs (2004) (14)
Trends in systems and signals: Status report prepared by the IFAC Coordinating Committee on Systems and Signals (2006) (14)
New results on the asymptotic theory of system identification for the assessment of the quality of estimated models (2002) (12)
The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities (2019) (12)
Lectures notes by (2008) (12)
Scenario Optimization for MPC (2018) (12)
Adaptive control of non‐minimum phase systems (1995) (12)
Logic-based switching for the stabilization of stochastic systems in presence of unmodeled dynamics (2001) (12)
Achieving optimality in adaptive control: the "bet on the best" approach (1997) (11)
Interval predictors for unknown dynamical systems: an assessment of reliability (2002) (11)
A Learning Theory Approach to the Construction of Predictor Models (2003) (11)
The risk of making decisions from data through the lens of the scenario approach (2021) (11)
A coverage theory for least squares (2017) (11)
An iterative controller design scheme based on average robust control (2002) (10)
Non-asymptotic quality assessment of generalised FIR models with periodic inputs (2004) (10)
The asymptotic model quality assessment for instrumental variable identification revisited (2006) (10)
A Toolbox for Virtual Reference Feedback Tuning (VRFT) (2019) (10)
Sensitivity shaping via virtual reference feedback tuning (2001) (10)
On Two-Stage Portfolio Allocation Problems with Affine Recourse (2005) (10)
Scenario optimization with relaxation: a new tool for design and application to machine learning problems (2020) (10)
Tuning the forgetting factor in RLS identification algorithms (1991) (9)
Parametric Identification of Nonlinear Systems: Guaranteed Confidence Regions (2005) (9)
Effective identification algorithms for adaptive control (1992) (9)
On the convergence of minimum-variance directional-forgetting adaptive control scheme (1992) (9)
NEW RESULTS ON THE IDENTIFICATION OF INTERVAL PREDICTOR MODELS (2005) (9)
Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems (2015) (8)
Virtual Reference Feedback Tuning for non-linear systems (2005) (8)
Complexity-based modulation of the data-set in scenario optimization (2019) (8)
The scenario approach meets uncertain variational inequalities and game theory (2019) (8)
Optimal adaptive control of an LQG system (1996) (7)
A new recursive identification algorithm for singularity free adaptive control (1998) (7)
THE SCENARIO APPROACH TO ROBUST CONTROL DESIGN1 (2006) (7)
Hysteresis-based switching control of stochastic linear systems (2003) (7)
Layers and the Probability of False Prediction ⋆ (2009) (7)
The wait-and-judge scenario approach applied to antenna array design (2019) (7)
Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations (2017) (7)
Sampled Convex Programs and Probabilistically Robust Design (2006) (7)
A penalized identification criterion for securing controllability in adaptive control. (1998) (7)
Variable robustness control: principles and algorithms (2010) (6)
Introducing robustness in iterative control (2005) (6)
Adaptive RLS algorithms under stochastic excitation: strong consistency analysis (1991) (6)
A counter example to the exponential convergence of the directional forgetting algorithm (1990) (6)
Facing undermodelling in Sign-Perturbed-Sums system identification (2021) (6)
Certified system identification: Towards distribution-free results (2012) (6)
Generalized super-exponential method for blind equalization using Kautz filters (1999) (6)
Kernel-based SPS (2018) (6)
Non-asymptotic confidence sets for input-output transfer functions (2006) (6)
Chance-constrained optimization via randomization : feasibility and optimality ∗ (2008) (6)
NON-ASYMPTOTIC QUALITY ASSESSMENT OF THE LEAST SQUARES ESTIMATE (2002) (5)
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines (2021) (5)
Non-asymptotic quality assessment of generalised FIR models (2002) (5)
Robust convex optimization: The scenario approach (2006) (5)
Modulating robustness in robust control: Making it easy through randomization (2007) (5)
A new approach to controller design in presence of constraints (2007) (5)
Strong consistency of the Sign-Perturbed Sums method (2014) (5)
Guaranteed non-asymptotic confidence ellipsoids for FIR systems (2013) (5)
A randomised subsampling method for change detectio (2009) (5)
A Control System for Nitrogen Oxides Pollution Abatement by SCR (Selective Catalytic Reduction) (1996) (5)
Filters for internal model control design for unstable plants (1993) (5)
How Many Experiments Are Needed to Adapt (2007) (5)
Technical Notes and Correspondence Adaptive RLS Algorithms Under Stochastic Excitation--L2 Convergence Analysis (1991) (5)
FAST: an algorithm for the scenario approach with reduced sample complexity (2011) (4)
Finite sample quality assessment of system identification models of irrigation channels (2003) (4)
Unbiased Estimation of a Sinusoid in Noise Via Notch Filters (1995) (4)
Model quality assessment for instrumental variable methods: use of the asymptotic theory in practice (2003) (4)
Learning for Control: a Bayesian Scenario Approach (2019) (4)
A Theory of the Risk for Empirical CVaR with Application to Portfolio Selection (2021) (4)
Adaptive pole placement by means of a simple, singularity free, identification algorithm (1997) (4)
Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques (2016) (3)
Tuning regularization via scenario optimization (2017) (3)
L∞ Layers and the Probability of False Prediction (2009) (3)
Estimation of confidence regions for the parameters of ARMA models guaranteed non-asymptotic results (2003) (3)
Randomized algorithms for the synthesis of adaptive controllers. (1998) (3)
Online Algorithms for the Construction of Guaranteed Confidence Sets for the Parameters of Time-varying Systems (2009) (3)
Some critical implementation issues in iterative robust control design (2004) (3)
Least Squares Based Self-Tuning Control Systems: Convergence, Stability and Optimality (1996) (3)
New results on the scenario design approach (2007) (3)
Non-asymptotic model quality assessment of transfer functions at multiple frequency points (2015) (3)
Consensus and Reliability: The Case of Two Binary Classifiers (2019) (2)
Least squares identification of autoregressive models with time-varying parameters (1994) (2)
Non-asymptotic confidence sets for the parameters of ARMAX models (2004) (2)
RISK-SENSITIVE CONTROL: A BRIDGE BETWEEN H2 AND Ho0 CONTROL (1993) (2)
UNCERTAINTY BOUNDS FOR KERNEL-BASED REGRESSION: A BAYESIAN SPS APPROACH (2018) (2)
Persistence of excitation properties for the identification of time-varying systems (2000) (2)
Persistence of Excitation Properties for Time-Varying Autoregressive Systems (2000) (2)
Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization (2023) (2)
A study on majority-voting classifiers with guarantees on the probability of error (2020) (2)
UNTITLED (1970) (2)
Application of the Extended Kalman Filter to the Estimation of the Char Mass in a Fluidized Bed Combustor (1994) (2)
Prediction, filtering and smoothing using LSCR: State estimation algorithms with guaranteed confidence sets (2011) (2)
Global non-asymptotic confidence sets for general linear models (2005) (2)
Adaptation and the effort needed to adapt (2009) (2)
Undermodelling Detection with Sign-Perturbed Sums (2017) (2)
Randomized min-max optimization: The exact risk of multiple cost levels (2011) (2)
State estimation algorithms with guaranteed confidence intervals for first order systems (2011) (2)
A self-optimizing adaptive LQG control scheme for input-output systems (2000) (2)
A fake information matrix approach to the analysis of finite memory RLS identification techniques (1993) (2)
Mean square convergence of an adaptive RLS algorithm with stochastic excitation (1989) (2)
Model Selection in Regression Analysis (2010) (1)
Supplementary material for the paper “ A Coverage Theory for Least Squares ” (2016) (1)
Constrained control design via a simulation-based scenario approach (2010) (1)
Identification of a model for the stress-strain behavior of the periodontal ligament (2000) (1)
Iterative Feedback Tuning: a Direct Approach (1998) (1)
Controller design through random sampling : An example (2007) (1)
Optimal delay estimation and performance evaluation in blind equalization (1997) (1)
Least squares estimates and the coverage of least squares costs (2013) (1)
Compression, Generalization and Learning (2023) (1)
A Model of a Bubbling Fluidized Bed Combustor for the Estimation of the Char Mass via Extended Kalman Filter (1996) (1)
Non-asymptotic uncertainty assessment of frequency responses using the LSCR approach (2007) (1)
State Conditional Filtering (2022) (1)
Risk-sensitive control: a bridge between H/sub 2/ and H/sub /spl infin// control (1993) (1)
On the consistency of the risk evaluation in the scenario approach (2021) (1)
Novel Bounds on the Probability of Misclassification in Majority Voting: Leveraging the Majority Size (2021) (1)
Self-tuning control based on penalized least squares identification techniques (1996) (1)
Preliminary results on two-stage scenario problems (2019) (0)
Penalized Identification for Self-Tuning Control: An Overview (2001) (0)
Do Self-Tuning Control Systems Tune? (1996) (0)
The stabilizability issue in least squares estimation: a penalized approach. (1998) (0)
The Lesson of PAC Learning (2010) (0)
The wait-and-judge scenario approach applied to antenna array design (2019) (0)
Pole Placement Techniques for a Class of Blind IIR Equalizers (2000) (0)
Intervalpredictormodels:Identificationandreliability I (2009) (0)
Keynote 1: "Wait-and-judge ín scenario optimization" (2017) (0)
SELF-OPTIMALITY OF ADAPTIVE CONTROL SYSTEMS BASED ON THE CERTAINTY EQUIVALENCE PRINCIPLE (1995) (0)
Pole placement techniques for a class of IIR blind equalizers (2000) (0)
How much do we need to experiment in order to adapt? (2007) (0)
Scenario-Based Economic Dispatch With Tunable Risk Levels in High-Renewable Power Systems (2020) (0)
Scenario-based optimization for decision making under uncertainty (2006) (0)
On a class of interval predictormodels with universal reliability (2019) (0)
Old and New Challenges in Finite-Sample System Identification (2018) (0)
Some Remarks on Multivariable Adaptive Control with Least Squares Parameter Estimaties (1991) (0)
Least Squares Identification of Time Varying Parameters: Issues and Trends (1997) (0)
A unique representation theorem for the conditional expectation of stationary processes and application to dynamic estimation problems (1997) (0)
Introducing robustness in iterative control S. Bittanti M.C. Campi S. Garatti (2005) (0)
International Graduate School on Control www.eeci-igsc.eu (2019) (0)
Compression at the service of learning: a case study for the Guaranteed Error Machine (2022) (0)
Notch Filters Versus Funnel Filters in Frequency Estimation (1998) (0)
Adaptive RLS Identification of Time-Varying Parameters - When is the Error Bounded? (1994) (0)
Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization (2014) (0)
Virtual Reference Feedback Tuning: A New Framework for Data-Based Design of PID and Linear Controllers (2001) (0)
SINGULARITY FREE ADAPTIVE LQG CONTROL : STABILITY AND OPTIMALITY (1996) (0)
Comments on self-adaptive regulators based on the least-squares method and its recursive modifications. General approach (1994) (0)
Reflections on ‘adaptive prediction’ (1994) (0)

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What Schools Are Affiliated With Marco Claudio Campi?

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University of Brescia

Marco Claudio Campi's Academic­Influence.com Rankings

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Marco Claudio Campi's Published Works

Published Works

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What Schools Are Affiliated With Marco Claudio Campi?

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