Publications related to Sparsity Invariance for Convex Design of Distributed Controllers

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

Recently, a new data-driven method for robust control with H-infinity performance has been proposed. This method is based on convex optimization and converges to the optimal performance when the controller order increases. However, for low-order controller ...

IEEE2018

Frequency-Domain Control Design in Power Systems

Christoph Manuel Kammer

The scope of this thesis encompasses two main subjects: fixed-structure data-driven control design on one side, and control design in power systems on the other. The overall goal is to identify challenging and relevant problems in power systems, to express ...

EPFL2018

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

Alireza Karimi, Christoph Manuel Kammer

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

Plug-and-play Voltage Stabilization in Inverter-interfaced Microgrids via a Robust Control Strategy

Alireza Karimi

This paper proposes a decentralized control strategy for the voltage regulation of islanded inverter-interfaced micro- grids. We show that an inverter-interfaced microgrid under plug- and-play (PnP) functionality of distributed generations (DGs) can be cas ...

Institute of Electrical and Electronics Engineers2017

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

Fixed-structure H-2 controller design for polytopic systems via LMIs

Alireza Karimi, Arash Sadeghzadeh

In this paper a new approach for fixed-structure H2 controller design in terms of solutions to a set of linear matrix inequalities are given. Both discrete- and continuous-time single-input single-output (SISO) time- invariant systems are considered. Then ...

Wiley-Blackwell2015

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

Fixed-order Sparse Control of Interconnected Systems with Polytopic Uncertainty

Alireza Karimi

This paper deals with the problem of sparse H-infinity dynamic output-feedback control of LTI interconnected systems with polytopic uncertainty. The main objective is to find a controller structure with minimum information exchange between subsystems and l ...

2014

Tractability of interpretability via selection of group-sparse models

Volkan Cevher, Luca Baldassarre, Nirav Bhan

Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. A promise of these models is to lead to “interpretable” signals for which we identify i ...

2013

A solution to the flexible transmission benchmark by convex optimization

Alireza Karimi, Gorka Galdos Sanz de Galdeano

The flexible transmission benchmark was proposed in the European Journal of Control to evaluate some robust digital control approaches in 1995. With progress in convex optimization algorithms new methods for robust controller design are developed. A recent ...

SAGE Publications2012

Sparsity Invariance for Convex Design of Distributed Controllers

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A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance

Frequency-Domain Control Design in Power Systems

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

Plug-and-play Voltage Stabilization in Inverter-interfaced Microgrids via a Robust Control Strategy

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

Fixed-structure H-2 controller design for polytopic systems via LMIs

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

Fixed-order Sparse Control of Interconnected Systems with Polytopic Uncertainty

Tractability of interpretability via selection of group-sparse models

A solution to the flexible transmission benchmark by convex optimization

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

Fixed-structure H-2 controller design for polytopic systems via LMIs

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

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

A solution to the flexible transmission benchmark by convex optimization

Fixed-order Sparse Control of Interconnected Systems with Polytopic Uncertainty

Tractability of interpretability via selection of group-sparse models

Plug-and-play Voltage Stabilization in Inverter-interfaced Microgrids via a Robust Control Strategy

Frequency-Domain Control Design in Power Systems

A Data-Driven Method for Computing Fixed-Structure Low-Order Controllers With H-infinity Performance