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Adaptive fault-tolerant control of nonlinear uncertain systems: an information-based diagnostic approach

IEEE transactions on automatic control, 2004-08, Vol.49 (8), p.1259-1274

2004

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Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach

IEEE transactions on automatic control, 2008-02, Vol.53 (1), p.324-338

2008

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A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

IEEE transactions on automatic control, 2002-04, Vol.47 (4), p.576-593

2002

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Distributed Fault Diagnosis With Overlapping Decompositions: An Adaptive Approximation Approach

IEEE transactions on automatic control, 2009-04, Vol.54 (4), p.794-799

2009

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Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties

IEEE transactions on automatic control, 2009-07, Vol.54 (7), p.1681-1687

2009

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Sensor bias fault isolation in a class of nonlinear systems

IEEE transactions on automatic control, 2005-03, Vol.50 (3), p.370-376

2005

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Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design

International journal of control, 2013-05, Vol.86 (5), p.804-820

2013

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Switching-Driving Lyapunov Function and the Stabilization of the Ball-and-Plate System

IEEE transactions on automatic control, 2009-08, Vol.54 (8), p.1881-1886

2009

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Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis

IEEE transactions on automatic control, 2011-01, Vol.56 (1), p.72-87

2011

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A receding-horizon regulator for nonlinear systems and a neural approximation

Automatica (Oxford), 1995-10, Vol.31 (10), p.1443-1451

1995

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Approximating networks and extended Ritz method for the solution of functional optimization problems

Journal of optimization theory and applications, 2002-02, Vol.112 (2), p.403-439

2002

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Model-free actuator fault detection using a spectral estimation approach: the case of the DAMADICS benchmark problem

Control engineering practice, 2006-06, Vol.14 (6), p.635-644

2006

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Active State Estimation for Nonlinear Systems: A Neural Approximation Approach

IEEE transaction on neural networks and learning systems, 2007-07, Vol.18 (4), p.1172-1184

2007

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Special Issue on the 2024 European Control Conference

European journal of control, 2024-10, p.101123, Article 101123

Parisini, Thomas

2024

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Fault Detection in Mechanical Systems With Friction Phenomena: An Online Neural Approximation Approach

IEEE transaction on neural networks and learning systems, 2007-07, Vol.18 (4), p.1067-1082

2007

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High-Gain Adaptive Control: A Derivative-Based Approach

IEEE transactions on automatic control, 2009-09, Vol.54 (9), p.2164-2169

2009

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Special issue on the European Control Conference 2022

European journal of control, 2022-11, Vol.68, p.100742, Article 100742

Parisini, Thomas

2022

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Distributed-information neural control: the case of dynamic routing in traffic networks

IEEE transaction on neural networks and learning systems, 2001-05, Vol.12 (3), p.485-502

2001

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Robust traffic wave damping via shared control

Transportation research. Part C, Emerging technologies, 2021-07, Vol.128, p.103110, Article 103110

2021

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Numerical solutions to the Witsenhausen counterexample by approximating networks

IEEE transactions on automatic control, 2001-09, Vol.46 (9), p.1471-1477

2001

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Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach

IEEE transactions on automatic control, 2012-02, Vol.57 (2), p.275-290

2012

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A neural state estimator with bounded errors for nonlinear systems

IEEE transactions on automatic control, 1999-11, Vol.44 (11), p.2028-2042

1999

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Distributed Pareto-optimal state estimation using sensor networks

Automatica (Oxford), 2018-07, Vol.93, p.211-223

2018

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Front-end monitoring of multiple loads in wireless power transfer systems without wireless communication systems

IEEE transactions on power electronics, 2016-03, Vol.31 (3), p.2510-2517

2016

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Stable hybrid control based on discrete-event automata and receding-horizon neural regulators

Automatica (Oxford), 2001-08, Vol.37 (8), p.1279-1292

2001

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Adaptive fault-tolerant control of nonlinear uncertain systems: an information-based diagnostic approach

Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach

A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

Distributed Fault Diagnosis With Overlapping Decompositions: An Adaptive Approximation Approach

Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties

Sensor bias fault isolation in a class of nonlinear systems

Approximate model predictive control laws for constrained nonlinear discrete-time systems: analysis and offline design

Switching-Driving Lyapunov Function and the Stabilization of the Ball-and-Plate System

Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis

A receding-horizon regulator for nonlinear systems and a neural approximation

Approximating networks and extended Ritz method for the solution of functional optimization problems

Model-free actuator fault detection using a spectral estimation approach: the case of the DAMADICS benchmark problem

Active State Estimation for Nonlinear Systems: A Neural Approximation Approach

Special Issue on the 2024 European Control Conference

Fault Detection in Mechanical Systems With Friction Phenomena: An Online Neural Approximation Approach

High-Gain Adaptive Control: A Derivative-Based Approach

Special issue on the European Control Conference 2022

Distributed-information neural control: the case of dynamic routing in traffic networks

Robust traffic wave damping via shared control

Numerical solutions to the Witsenhausen counterexample by approximating networks

Distributed Fault Detection and Isolation of Large-Scale Discrete-Time Nonlinear Systems: An Adaptive Approximation Approach

A neural state estimator with bounded errors for nonlinear systems

Distributed Pareto-optimal state estimation using sensor networks

Front-end monitoring of multiple loads in wireless power transfer systems without wireless communication systems

Stable hybrid control based on discrete-event automata and receding-horizon neural regulators

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