Publications associées à Contrôle en boucle fermée

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Colin Neil Jones, Bratislav Svetozarevic, Wenjie Xu

We study the problem of performance optimization of closed -loop control systems with unmodeled dynamics. Bayesian optimization (BO) has been demonstrated to be effective for improving closed -loop performance by automatically tuning controller gains or re ...

Elsevier Sci Ltd2024

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Alireza Karimi, Mert Eyuboglu, Nathan Russell Powell

This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

2024

Soft Robot Shape Estimation With IMUs Leveraging PCC Kinematics for Drift Filtering

Josephine Anna Eleanor Hughes, Francesco Stella

The control possibilities for soft robots have long been hindered by the need for reliable methods to estimate their configuration. Inertial measurement units (IMUs) can solve this challenge, but they are affected by well-known drift issues. This letter pr ...

Piscataway2024

Data-driven fixed-structure frequency-based H2 and H∞ controller design

Alireza Karimi, Vaibhav Gupta, Philippe Louis Schuchert

The frequency response data of a generalized system is used to design fixed-structure controllers for the H2 and H∞ synthesis problem. The minimization of the two and infinity norm of the transfer function between the exogenous inputs and performance outpu ...

2023

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Danilo Saccani, Melanie Nicole Zeilinger

In control system networks, reconfiguration of the controller when agents are leaving or joining the network is still an open challenge, in particular when operation constraints that depend on each agent's behavior must be met. Drawing our motivation from ...

New York2023

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Auke Ijspeert, Alexandre Massoud Alahi, Lixuan Tang, Anastasia Bolotnikova, Chuanfang Ning, George Adaimi

For people with limited mobility, navigating in cluttered indoor environment is challenging. In this work, we propose a mobile assistive furniture suite that is designed to ease the life of people with special needs in indoor movement. To enable intelligen ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

Shuqing Teresa Yeo, Amir Roshan Zamir, Oguzhan Fatih Kar, Zahra Sodagar

We propose a method for adapting neural networks to distribution shifts at test-time. In contrast to training-time robustness mechanisms that attempt to anticipate and counter the shift, we create a closed-loop system and make use of test-time feedback sig ...

Ieee Computer Soc2023

Data-driven distributed online learning control for islanded microgrids

Alireza Karimi, Seyed Sohail Madani, Dongdong Zheng

In this paper, a new discrete-time data-driven distributed learning control strategy for frequency/voltage regulation and active/reactive power sharing of islanded microgrids is proposed. Instead of using the static droop relationship and the conventional ...

2022

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Contrôle en boucle fermée

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Soft Robot Shape Estimation With IMUs Leveraging PCC Kinematics for Drift Filtering

Data-driven fixed-structure frequency-based H2 and H∞ controller design

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Closed-Loop Control of Epidural Electrical Stimulation in Patients with Spinal Cord Injury and Parkinson's Disease

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback

Data-driven distributed online learning control for islanded microgrids

Graph Chatbot

Chattez avec Graph Search

Soft Robot Shape Estimation With IMUs Leveraging PCC Kinematics for Drift Filtering

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach

Data-driven fixed-structure frequency-based H2 and H∞ controller design

Closed-Loop Control of Epidural Electrical Stimulation in Patients with Spinal Cord Injury and Parkinson's Disease

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Data-driven distributed online learning control for islanded microgrids

Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback