Publications related to Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications

A Data-driven Approach to Robust Control of Multivariable Systems by Convex Optimization

The frequency-domain data of a multivariable system in different operating points is used to design a robust controller with respect to the measurement noise and multimodel uncertainty. The controller is fully parametrized in terms of matrix polynomial fun ...

2017

A Data-Driven Approach to Power Converter Control via Convex Optimization

Alireza Karimi, Achille Nicoletti, Michele Martino

A new model reference data-driven approach is presented for synthesizing controllers for the CERN power converter control system. This method uses the frequency re- sponse function (FRF) of a system in order to avoid the problem of unmodeled dynamics assoc ...

2017

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Dominique Bonvin, René Uwe Schneider, Predrag Milosavljevic

The desire to operate chemical processes in a safe and economically optimal way has motivated the development of so-called real-time optimization (RTO) methods [1]. For continuous processes, these methods aim to compute safe and optimal steady-state set ...

2016

Real-Time Optimization via Directional Modifier Adaptation, with Application to Kite Control

Sean Costello

The steady advance of computational methods makes model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. The traditional remedy is to update the model parameters, but th ...

EPFL2015

On the Use of Transient Information for Static Real-Time Optimization

Dominique Bonvin, Grégory François, Alejandro Gabriel Marchetti

Optimal operation of chemical processes is key for meeting productivity, quality, safety and environmental objectives. Both model-based and data-driven schemes are used to compute optimal operating conditions [1]: - The model-based techniques are intu ...

2015

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Alireza Karimi, Achille Nicoletti, Zlatko Emedi

In this paper, a new method for designing robust fixed-order

\mathcal{H}_{\infty}

discrete-time controllers is presented. The controller structure is a two-degree of freedom polynomial controller of the

RST

type. A data-driven approach is implemented f ...

IEEE2015

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

Alireza Karimi, Achille Nicoletti, Vinicius De Oliveira

A new method for robust fixed-order H∞ controller design for uncertain time-delay systems is presented. It is shown that the H∞ robust performance condition can be represented by a set of convex constraints with respect to the parameters of a linearly para ...

Springer2015

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

Alireza Karimi, Achille Nicoletti

A new method for robust fixed-order H∞ controller design for uncertain time-delayed MIMO systems is presented. It is shown that the H∞ robust performance condition can be represented by a set of convex constraints with respect to the parameters of a linear ...

IEEE2014

Use of Transient Measurements for the Optimization of Steady-State Performance via Modifier Adaptation

Dominique Bonvin, Grégory François

Real-time optimization (RTO) methods use measurements to offset the effect of uncertainty and drive the plant to optimality. RTO schemes differ in the way measurements are incorporated in the optimization framework. Explicit RTO schemes solve a static opti ...

American Chemical Society2014

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

Rémi Gribonval, Gilles Puy

We investigate a compressive sensing system in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using measures performed on a few unknown (but sparse) signals. We extend our earlier s ...

2013

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications

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A Data-driven Approach to Robust Control of Multivariable Systems by Convex Optimization

A Data-Driven Approach to Power Converter Control via Convex Optimization

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Real-Time Optimization via Directional Modifier Adaptation, with Application to Kite Control

On the Use of Transient Information for Static Real-Time Optimization

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

Use of Transient Measurements for the Optimization of Steady-State Performance via Modifier Adaptation

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

A Data-Driven Approach in Designing RST Controllers with H∞ Performance via Convex Optimization

A Data-driven Approach to Robust Control of Multivariable Systems by Convex Optimization

Robust Smith Predictor Design for Time-Delay Systems with H∞ Performance

On the Use of Transient Information for Static Real-Time Optimization

H∞ smith predictor design for time-delayed MIMO systems via convex optimization

Real-Time Optimization via Directional Modifier Adaptation, with Application to Kite Control

A Data-Driven Approach to Power Converter Control via Convex Optimization

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

Use of Transient Measurements for the Optimization of Steady-State Performance via Modifier Adaptation