Publications related to Homothetic Tube Model Predictive Control With Multi-Step Predictors

Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Inhalation of Microplastics—A Toxicological Complexity

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Humans are chronically exposed to airborne microplastics (MPs) by inhalation. Various types of polymer particles have been detected in lung samples, which could pose a threat to human health. Inhalation toxicological studies are crucial for assessing the e ...

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Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis

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The paper presents a robust data-driven controller synthesis method for generalised multi-input multioutput (MIMO) systems. Using the frequency response of a linear time-invariant (LTI) MIMO system and characterising perturbations through Integral Quadrati ...

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Frequency domain data-driven robust and optimal control

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The goal of this thesis is to propose pragmatic solutions to real challenges faced in the industry. The scope of this thesis encompasses two subjects: frequency-based structured controller synthesis for linear time-invariant (LTI) systems on one side, and ...

EPFL2024

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

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A novel approach for linear parameter-varying (LPV) controller synthesis for adaptive rejection of time-varying sinusoidal disturbances is proposed. Only the frequency response data of a linear time-invariant (LTI) multiple-input multiple-output (MIMO) sys ...

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Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

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In this paper, the challenge of asymptotically rejecting sinusoidal disturbances with unknown time-varying frequency and bounded rate is explored. A novel data-driven approach for designing linear parameter-varying (LPV) con- troller is introduced, leverag ...

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Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

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The European Union's Green Deal aims for a 55% reduction in greenhouse gas emissions by 2030. To reach this goal, a massive integration of Renewable Energy Sources (RES) into the power grid is necessary. As RES become a large part of the electricity genera ...

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Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

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Identification of typical district configurations: A two-step global sensitivity analysis framework

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The recent geopolitical conflicts in Europe have underscored the vulnerability of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy systems ensuring sustainable energy supply in the future, the ...

Pergamon-Elsevier Science Ltd2024

Accurate and agile flight with winged drones

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Drones hold promise to assist in civilian tasks. To realize this application, future drones must operate within large cities, covering large distances while navigating within cluttered urban landscapes. The increased efficiency of winged drones over rotary ...

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Homothetic Tube Model Predictive Control With Multi-Step Predictors

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Efficient Continual Finite-Sum Minimization

Inhalation of Microplastics—A Toxicological Complexity

Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis

Frequency domain data-driven robust and optimal control

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems

Identification of typical district configurations: A two-step global sensitivity analysis framework

Accurate and agile flight with winged drones

Efficient Continual Finite-Sum Minimization

Non-parametric IQC Multipliers in Data-Driven Robust Controller Synthesis

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Frequency domain data-driven robust and optimal control

Inhalation of Microplastics—A Toxicological Complexity

Data-driven LPV Disturbance Rejection Control with IQC-based Stability Guarantees for Rate-bounded Scheduling Parameter Variations

Accurate and agile flight with winged drones

Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

Identification of typical district configurations: A two-step global sensitivity analysis framework

Functional-Basis Analysis of Non-Stationary Signals in Modern Power Grids: Theory and Implementation in Embedded Systems