Sarthak Chatterjee
Sarthak Chatterjee
Associate Director of Data Science at Merck
Verified email at - Homepage
Cited by
Cited by
Stability and chaos analysis of a novel swarm dynamics with applications to multi-agent systems
S Das, D Goswami, S Chatterjee, S Mukherjee
Engineering Applications of Artificial Intelligence 30, 189-198, 2014
A Lagrangian Approach to Modeling and Analysis of a Crowd Dynamics
S Mukherjee, D Goswami, S Chatterjee
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2015
Behavioral analysis of the leader particle during stagnation in a particle swarm optimization algorithm
S Chatterjee, D Goswami, S Mukherjee, S Das
Information Sciences 279, 18-36, 2014
Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy
S Chatterjee, O Romero, A Ashourvan, S Pequito
Journal of neural engineering 17 (6), 066017, 2020
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory
O Romero, S Chatterjee, S Pequito
2019 American Control Conference (ACC), 163-168, 2019
Analysis of a generalised expectation–maximisation algorithm for Gaussian mixture models: a control systems perspective
S Chatterjee, O Romero, S Pequito
International Journal of Control 95 (10), 2734-2742, 2022
Fractional cyber-neural systems—A brief survey
E Reed, S Chatterjee, G Ramos, P Bogdan, S Pequito
Annual Reviews in Control 54, 386-408, 2022
Adaptation methods in differential evolution: A review
PN Suganthan, S Das, S Mukherjee, S Chatterjee
20th International Conference on Soft Computing MENDEL 2014, 131-140, 2014
A separation principle for discrete-time fractional-order dynamical systems and its implications to closed-loop neurotechnology
S Chatterjee, O Romero, S Pequito
IEEE Control Systems Letters 3 (3), 691-696, 2019
Cooperative curve tracking in two dimensions without explicit estimation of the field gradient
S Chatterjee, W Wu
2017 4th International Conference on Control, Decision and Information …, 2017
Fractional-order model predictive control for neurophysiological cyber-physical systems: A case study using transcranial magnetic stimulation
O Romero, S Chatterjee, S Pequito
2020 American Control Conference (ACC), 4996-5001, 2020
A Modular Approach to Level Curve Tracking With Two Nonholonomic Mobile Robots
S Chatterjee, W Wu
ASME 2019 International Design Engineering Technical Conferences and …, 2019
On learning discrete-time fractional-order dynamical systems
S Chatterjee, S Pequito
2022 American Control Conference (ACC), 4335-4340, 2022
Dealing with State Estimation in Fractional-Order Systems under Artifacts
S Chatterjee, S Pequito
2019 American Control Conference (ACC), 878-883, 2019
NEO: NEuro-inspired Optimization-A Fractional Time Series Approach
S Chatterjee, S Das, S Pequito
Frontiers in Physiology, 1551, 2021
Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation
S Chatterjee, A Alessandretti, AP Aguiar, S Pequito
IEEE Transactions on Control of Network Systems 10 (1), 226-237, 2022
Analysis and design of closed-loop fractional-order systems and its applications to neurotechnology
S Chatterjee
Rensselaer Polytechnic Institute, 2021
Differential Evolution with Controlled Annihilation and Regeneration of Individuals and A Novel Mutation Scheme
S Mukherjee, S Chatterjee, D Goswami, S Das
Swarm, Evolutionary, and Memetic Computing, 286-297, 2013
2023 Index IEEE Transactions on Control of Network Systems Vol. 10
R Abdollahipour, N Agrawal, AP Aguiar, A Ajayakumar, A Alessandretti, ...
IEEE Transactions on Control of Network Systems 10 (4), 2023
Fractional-order model predictive control for neurophysiological cyber-physical systems
S Pequito, O Romero, S Chatterjee
US Patent App. 17/228,775, 2021
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