A5044158285- Neurological disorders and treatments
- Neuroscience and Neural Engineering
- Parkinson's Disease Mechanisms and Treatments
- Neural dynamics and brain function
- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
- Robot Manipulation and Learning
- Control and Stability of Dynamical Systems
- Stability and Controllability of Differential Equations
- Adaptive Control of Nonlinear Systems
- Quantum chaos and dynamical systems
- Neuroscience and Neuropharmacology Research
- Reinforcement Learning in Robotics
- Advanced MRI Techniques and Applications
- Modular Robots and Swarm Intelligence
- stochastic dynamics and bifurcation
University College Dublin
2023
Laboratoire des signaux et systèmes
2018-2021
Université Paris-Saclay
2020
Centre National de la Recherche Scientifique
2020
CentraleSupélec
2020
University of Warsaw
2017
Evolutionary robotics using real hardware has been almost exclusively restricted to evolving robot controllers, but the technology for evolvable morphologies is advancing quickly. We discuss a proof-of-concept study demonstrate robots that can reproduce. Following general system plan, we implement robotic habitat contains all components in simplest possible form. create an initial population of two and run complete life cycle, resulting new robot, parented by first two. Even though...
Closed-loop control strategies for deep brain stimulation (DBS) in Parkinson’s disease offer the potential to provide more effective of patient symptoms and fewer side effects than continuous stimulation, while reducing battery consumption. Most closed-loop methods proposed tested to-date rely on controller parameters, such as gains, that remain constant over time. While may operate effectively close operating point which it is set, providing benefits when compared conventional open-loop...
Partial stability characterizes dynamical systems for which only a part of the state variables exhibits stable behavior. In his book on partial stability, Vorotnikov proposed sufficient condition to establish this property through Lyapunov-like function whose total derivative is upper-bounded by negative definite involving sub-state interest. note, we show with simple two-dimensional system that statement wrong in general. More precisely, convergence rate relevant may not be uniform initial...
For nonlinear time-delay systems with globally Lipschitz vector fields, we propose a relaxed sufficient condition for global exponential stability (GES), in which the dissipation rate of Lyapunov-Krasovskii functional is not needed to involve itself, but merely point-wise current value solution. Our proof technique consists explicitly constructing that satisfies existing criteria GES. Consequences robustness exogenous inputs are briefly evoked and an example taken from neuroscience...
Closed-loop adaptive deep brain stimulation (aDBS) continuously adjusts parameters, with the potential to improve efficacy and reduce side effects of (DBS) for Parkinson's disease (PD). Rodent models can provide an effective platform testing aDBS algorithms establishing before clinical investigation. In this study, we compare two algorithms, on-off proportional modulation DBS amplitude, conventional in hemiparkinsonian rats.
Motivated by improved ways to disrupt brain oscillations linked Parkinsons disease, we propose an adaptive output feedback strategy for the stabilization of nonlinear time-delay systems evolving on a bounded set. To that aim, using formalism input-to-output stability (IOS), first show that, such systems, internal guarantees robustness exogenous disturbances. We then use this feature establish general result scalar inspired "σ-modification" strategy. finally apply delayed neuronal population...
Deep brain stimulation (DBS) is a well-established method for symptomatic treatment of Parkinson's disease and essential tremor. Adaptive deep has the potential to surpass performance conventional DBS, providing more accurate symptom suppression, better control stimulation-induced side effects, longer battery life. While multiple controllers have been proposed successfully tested in computational models as well patients, even simple methods still require parameter tuning currently there no...