The Experts below are selected from a list of 7809 Experts worldwide ranked by ideXlab platform
Alessandro Costalunga - One of the best experts on this subject based on the ideXlab platform.
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synthesis of virtual holonomic constraints for obtaining Stable constraint dynamics
Automatica, 2018Co-Authors: Alessandro Costalunga, Luca ConsoliniAbstract:Abstract A virtual holonomic constraint (VHC) is a relation among the generalized coordinates of a mechanical system that can be made invariant via feedback control. The autonomous dynamics of the system resulting on the enforcement of the VHC are called the constraint dynamics. This work presents a method for the synthesis of VHCs that guarantees the existence of an asymptotically Stable Limit Cycle on the constraint dynamics.
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synthesis of virtual holonomic constraints with Stable constraint dynamics
European Control Conference, 2015Co-Authors: Luca Consolini, Alessandro CostalungaAbstract:A virtual holonomic constraint (VHC) is a relation among the generalized coordinates of a mechanical system that can be made invariant via feedback control. The autonomous dynamics of the system resulting on the enforcement of the VHC are called the constraint dynamics. This work presents a method for the synthesis of VHCs that guarantees the existence of an asymptotically Stable Limit Cycle on the constraint dynamics.
Luca Consolini - One of the best experts on this subject based on the ideXlab platform.
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synthesis of virtual holonomic constraints for obtaining Stable constraint dynamics
Automatica, 2018Co-Authors: Alessandro Costalunga, Luca ConsoliniAbstract:Abstract A virtual holonomic constraint (VHC) is a relation among the generalized coordinates of a mechanical system that can be made invariant via feedback control. The autonomous dynamics of the system resulting on the enforcement of the VHC are called the constraint dynamics. This work presents a method for the synthesis of VHCs that guarantees the existence of an asymptotically Stable Limit Cycle on the constraint dynamics.
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synthesis of virtual holonomic constraints with Stable constraint dynamics
European Control Conference, 2015Co-Authors: Luca Consolini, Alessandro CostalungaAbstract:A virtual holonomic constraint (VHC) is a relation among the generalized coordinates of a mechanical system that can be made invariant via feedback control. The autonomous dynamics of the system resulting on the enforcement of the VHC are called the constraint dynamics. This work presents a method for the synthesis of VHCs that guarantees the existence of an asymptotically Stable Limit Cycle on the constraint dynamics.
Juergen Jost - One of the best experts on this subject based on the ideXlab platform.
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the stochastic fitzhugh nagumo neuron model in the excitable regime embeds a leaky integrate and fire model
Journal of Mathematical Biology, 2019Co-Authors: Marius E. Yamakou, Tat Dat Tran, Luu Hoang Duc, Juergen JostAbstract:In this paper, we provide a complete mathematical construction for a stochastic leaky-integrate-and-fire model (LIF) mimicking the interspike interval (ISI) statistics of a stochastic FitzHugh–Nagumo neuron model (FHN) in the excitable regime, where the unique fixed point is Stable. Under specific types of noises, we prove that there exists a global random attractor for the stochastic FHN system. The linearization method is then applied to estimate the firing time and to derive the associated radial equation representing a LIF equation. This result confirms the previous prediction in Ditlevsen and Greenwood (J Math Biol 67(2):239–259, 2013) for the Morris-Lecar neuron model in the bistability regime consisting of a Stable fixed point and a Stable Limit Cycle.
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stochastic fitzhugh nagumo neuron model in excitable regime embeds a leaky integrate and fire model
arXiv: Dynamical Systems, 2018Co-Authors: Marius E. Yamakou, Tat Dat Tran, Luu Hoang Duc, Juergen JostAbstract:In this paper, we provide a complete mathematical construction for a stochastic leaky-integrate-and-fire model (LIF) mimicking the interspike interval (ISI) statistics of a stochastic FitzHugh-Nagumo neuron model (FHN) in the excitable regime, where the unique fixed point is Stable. Under specific types of noises, we prove that there exists a global random attractor for the stochastic FHN system. The linearization method is then applied to estimate the firing time and to derive the associated radial equation representing a LIF equation. This result confirms the previous prediction in [Ditlevsen, S. and Greenwood, P. (2013). The Morris-Lecar neuron model embeds a leaky integrate-and-fire model. Journal of Mathematical Biology, 67(2):239-259] for the Morris-Lecar neuron model in the bistability regime consisting of a Stable fixed point and a Stable Limit Cycle.
Boris Gutkin - One of the best experts on this subject based on the ideXlab platform.
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concomitance of inverse stochastic resonance and stochastic resonance in a minimal biStable spiking neural circuit
Communications in Nonlinear Science and Numerical Simulation, 2020Co-Authors: Amirpasha Zamani, Nikita A Novikov, Boris GutkinAbstract:Abstract Stochastic Resonance (SR) is a well-known noise-induced phenomenon widely reported in dynamical systems with a threshold, while Inverse Stochastic Resonance (ISR) is an opposing phenomenon observed in the dynamical systems which exhibit bistability between a Stable node and a Stable Limit Cycle. This study shows a co-occurrence of SR and ISR, in a minimal circuit of synaptically coupled spiking neurons that is designed to show bistability between quiescence and a persistent firing mode. We identify noise, synaptic and intrinsic parameters ranges that allow for ISR. The minimal computational model, is investigated for a range of parameters, and our simulations indicate that the main features of SR, are the direct results of dynamical properties which lead to ISR.
Sai Vinjanampathy - One of the best experts on this subject based on the ideXlab platform.
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quantum synchronization in nanoscale heat engines
Physical Review E, 2020Co-Authors: Noufal Jaseem, Michal Hajdusek, Vlatko Vedral, Rosario Fazio, L C Kwek, Sai VinjanampathyAbstract:Owing to the ubiquity of synchronization in the classical world, it is interesting to study its behavior in quantum systems. Though quantum synchronization has been investigated in many systems, a clear connection to quantum technology applications is lacking. We bridge this gap and show that nanoscale heat engines are a natural platform to study quantum synchronization and always possess a Stable Limit Cycle. Furthermore, we demonstrate an intimate relationship between the power of a coherently driven heat engine and its phase-locking properties by proving that synchronization places an upper bound on the achievable steady-state power of the engine. We also demonstrate that such an engine exhibits finite steady-state power if and only if its synchronization measure is nonzero. Finally, we show that the efficiency of the engine sets a point in terms of the bath temperatures where synchronization vanishes. We link the physical phenomenon of synchronization with the emerging field of quantum thermodynamics by establishing quantum synchronization as a mechanism of Stable phase coherence.
