Reference phantoms for microwave imaging

Comparison between a 2.45 GHz planar and circular scanners for biomedical applications

Experimental Imaging Issues of a 3-D Microwave Brain Scanner

Damaged Apple Sorting with mmWave Imaging and Non-Linear Support Vector Machine

A Prototype Microwave System for 3D Brain Stroke Imaging

Benchmark Head phantoms for microwave imaging of brain strokes

Dielectric Properties of Ovine Heart at Microwave Frequencies

Quantitative Microwave Breast Phantom Imaging Using a Planar 2.45 GHz System

Design and Experimental Assessment of a 2D Microwave Imaging System for Brain Stroke Monitoring

Experimental Validation of a Microwave Brain Scanner for Cerebrovascular Diseases Monitoring

Ongoing Developments Towards the Realization of a Microwave Device for Brain Stroke Monitoring

Development of an Anthropomorphic Phantom of the Axillary Region for Microwave Imaging Assessment

Non-destructive Control of Fruit Quality via Millimeter Waves and Classification Techniques

Tri de pommes par imagerie microonde

Modèle numérique d’un système d’imagerie microonde pour détecter les blessures de l’épaule par apprentissage machine

Numerical Modeling for Shoulder Injury Detection Using Microwave Imaging

Closed-loop regulation of the activity of delayed neural fields with only partial measurement and stimulation

Analysis of Integral Input-to-State Stable time-delay systems in cascade

Entrainability and frequency-response of interconnected delayed rate models by Krasovskii and Razumikhin approaches

On the robustness analysis of triangular nonlinear systems: iISS and practical stability

Analytical conditions for the entrainment of basal ganglia structures by their exogenous inputs

Mieux comprendre pour mieux soigner la maladie de Parkinson grâce à l’automatique

Le modèle de Kuramoto sous retour du champ moyen réel n'admet pas de solutions à phases verrouillées

Incremental stability of delayed neural fields: a unifying framework for endogenous and exogenous sources of pathological oscillations

Closed-loop disruption of oscillations in a targeted frequency band for a delayed neural field STN-GPe model

Robust stabilization of delayed neural fields by proportional feedback using input-to-state stability and small-gain theorem

Incremental stability of spatiotemporal delayed dynamics and application to neural fields

Disturbance rejection in iISS feedback nonlinear systems: a sensitivity trade-off

A Global Stability Analysis for Delayed Neural Fields

Cascades stability analysis applied to a control design for unmatched perturbation rejection based on HOSM

The HYCON-EECI Graduate School on Control 2008

Quantised control of nonlinear systems: analysis of robustness to parameter uncertainty, measurement errors, and exogenous disturbances

Dynamics in Neuroscience

A robust limited-information feedback for a class of uncertain nonlinear systems

Robust stabilization of delayed neural fields with partial measurement and actuation

Phase-locking between Kuramoto oscillators : robustness to time-varying natural frequencies

Validity of the phase approximation for coupled nonlinear oscillators: a case study

Uniform semiglobal practical asymptotic stability for non-autonomous cascaded systems and applications

A theoretical study of closed-loop stimulation of a delayed neural fields model of Parkinsonian STN-GPe network

De l’Automatique dans les synapses - Stratégies de stimulation cérébrale en boucle fermée pour le traitement de maladies neurologiques

Basal ganglia oscillations: the role of delays and external excitatory nuclei

Flux and position observer of permanent magnet synchronous motors with relaxed persistency of excitation conditions

Model reduction for linear delay systems using a delay-independent balanced truncation approach

A sensitivity trade-off arising in small-gain design for nonlinear systems: an iISS framework

An Input-Output approach to the robust synchronization of dynamical systems with an application to the Hindmarsh-Rose neuronal model

Incremental stability of spatiotemporal delayed dynamics and application to neural fields

Strong iISS is preserved under cascade interconnection

Strong iISS: combination of iISS and ISS with respect to small inputs

Closed-loop Deep Brain Stimulation Based on Firing-rate Regulation

Robustness of ISS systems to inputs with limited moving average, with application to spacecraft formations