23 citations · 55 across the 5 of their papers we have counts for
4 papers
Constant Bias and Weak Second Periodic Forcing : Tools to Mitigate Extreme Events
S. Sudharsan, A. Venkatesan, M. Senthilvelan
We propose two potentially viable non-feedback methods, namely (i) constant bias and (ii) weak second periodic forcing as tools to mitigate extreme events. We demonstrate the effec…
Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning
J. Meiyazhagan, S. Sudharsan, M. Senthilvelan
We predict the emergence of extreme events in a parametrically driven nonlinear dynamical system using three Deep Learning models, namely Multi-Layer Perceptron, Convolutional Neur…
Emergence and mitigation of extreme events in a parametrically driven system with velocity-dependent potential
S. Sudharsan, A. Venkatesan, P. Muruganandam +1
In this paper, we discuss the emergence of extreme events in a parametrically driven non-polynomial mechanical system with a velocity-dependent potential. We confirm the occurrence…
Symmetrical emergence of extreme events at multiple regions in a damped and driven velocity-dependent mechanical system
Sudharsan S, Venkatesan A, Senthilvelan M
In this work, we report the emergence of extreme events in a damped and driven velocity-dependent mechanical system. We observe that the extreme events emerge at multiple points. W…