7 papers
A finite volume Simo-Reissner beam method for moored floating body dynamics
Amirhossein Taran, Seevani Bali, Zeljko Tukovic +2
This paper presents a novel finite volume mooring line model based on the geometrically exact Simo-Reissner beam model for analysing the interaction between a floating rigid body a…
Bellman Memory Units: A neuromorphic framework for synaptic reinforcement learning with an evolving network topology
Shreyan Banerjee, Aasifa Rounak, Vikram Pakrashi
Application of neuromorphic edge devices for control is limited by the constraints on gradient-free online learning and scalability of the hardware across control problems. This pa…
Neuromorphic computing for anomaly detection in a laser powder bed fusion process
Shreyan Banerjee, Aasifa Rounak, Cathal Hoare +2
This study is the first application of spiking neural networks (SNNs) for anomaly detection in the Laser Powder Bed Fusion (LPBF) additive manufacturing process. The neural network…
Improved Stability Estimates and Flight Time Predictions Using Higher-Order Transverse Discontinuity Mapping in Hybrid Dynamical Systems
Rohit Chawla, Aasifa Rounak, Vikram Pakrashi
This article emphasizes on inconsistencies in the dynamical estimates obtained by first-order transverse discontinuity mapping (TDM) and direct numerical observations for hybrid dy…
Explaining Optomechanical Libration Spectra: A Stochastic Simulation Approach
Ankush Gogoi, Vikram Pakrashi, Joanna A. Zielinska
We present a practical and computationally effective Ito-Taylor expansion based stochastic simulation framework for modeling rotational optomechanics experiments. By developing a m…
Benchmarking Spiking Neurons for Linear Quadratic Regulator Control of Multi-linked Pole on a Cart: from Single Neuron to Ensemble
Shreyan Banerjee, Luna Gava, Aasifa Rounak +1
The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network comp…