Publications associées à Système invariant

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

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 ...

2024

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

Alireza Karimi, Elias Sebastian Klauser

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 ...

2024

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

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

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 ...

2024

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Alireza Karimi, Vaibhav Gupta, Elias Sebastian Klauser

A novel approach for robust controller synthesis, which models uncertainty as an elliptical set, is proposed in the paper. Given a set of frequency response functions of linear time-invariant (LTI) multiple-input multiple-output (MIMO) systems, the approac ...

2023

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

Alireza Karimi, Philippe Louis Schuchert

Frequency Response Function (FRF)-based control synthesis methods for Linear Time-Invariant (LTI) systems have been widely used in control theory and industry. Recently, there has been renewed interest in these methods, employing numerical optimization too ...

Piscataway2023

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

Michaël Unser, Rahul Parhi

The usual explanation of the efficacy of wavelet-based methods hinges on the sparsity of many real-world objects in the wavelet domain. Yet, standard wavelet-shrinkage techniques for sparse reconstruction are not competitive in practice, one reason being t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object

Aude Billard, Michael Bosongo Bombile

Picking up objects to toss them on a conveyor belt are activities generated on a daily basis in the industry. These tasks are still done largely by humans. This paper proposes a unified motion generator for a bimanual robotic systems that enables two 7 deg ...

2022

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

Giancarlo Ferrari Trecate, Luca Furieri, Clara Lucía Galimberti

We address the problem of designing stabilizing control policies for nonlinear systems in discrete-time, while minimizing an arbitrary cost function. When the system is linear and the cost is convex, the System Level Synthesis (SLS) approach offers an effe ...

IEEE2022

General invariance and equilibrium conditions for lattice dynamics in 1D, 2D, and 3D materials

Nicola Marzari, Changpeng Lin, Samuel Poncé

The long-wavelength behavior of vibrational modes plays a central role in carrier transport, phonon-assisted optical properties, superconductivity, and thermomechanical and thermoelectric properties of materials. Here, we present general invariance and equ ...

NATURE PORTFOLIO2022

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Système invariant

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

Frequency domain data-driven robust and optimal control

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

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

General invariance and equilibrium conditions for lattice dynamics in 1D, 2D, and 3D materials

Graph Chatbot

Chattez avec Graph Search

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

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

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

Achieving Optimal Performance With Data-Driven Frequency-Based Control Synthesis Methods

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

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

General invariance and equilibrium conditions for lattice dynamics in 1D, 2D, and 3D materials

Frequency domain data-driven robust and optimal control

Neural System Level Synthesis: Learning over All Stabilizing Policies for Nonlinear Systems

Dual-Arm Control for Coordinated Fast Grabbing and Tossing of an Object