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Gautam Kumar
Gautam Kumar
Assistant Professor, Department of Chemical and Materials Engineering, San Jose State University
Verified email at sjsu.edu - Homepage
Title
Cited by
Cited by
Year
A study of a gun-turret assembly in an armored tank using model predictive control
G Kumar, PY Tiwari, V Marcopoli, MV Kothare
2009 American Control Conference, 4848-4853, 2009
332009
Designing closed-loop brain-machine interfaces using optimal receding horizon control
G Kumar, MH Schieber, NV Thakor, MV Kothare
American Control Conference (ACC), 2013, 5029-5034, 2013
132013
Designing closed-loop brain-machine interfaces with network of spiking neurons using MPC strategy
H Pan, D Baocang, W Zhong, G Kumar, MV Kothare
American Control Conference (ACC), 2015, Chicago, IL, USA, 2543 - 2548, 2015
122015
Optimal parameter estimation of the Izhikevich single neuron model using experimental inter-spike interval (ISI) data
G Kumar, V Aggarwal, NV Thakor, MH Schieber, MV Kothare
Proceedings of the 2010 American Control Conference, 3586-3591, 2010
122010
Controlling Linear Networks with Minimally Novel Inputs
G Kumar, D Menolascino, MM Kafashan, SN Ching
http://arxiv.org/pdf/1409.7749.pdf, 2014
72014
Input Novelty as a Control Metric for Time Varying Linear Systems
G Kumar, D Menolascino, SN Ching
http://arxiv.org/pdf/1411.5892v1.pdf, 2014
62014
Broadcast stochastic receding horizon control of multi-agent systems
G Kumar, MV Kothare
Automatica 49 (12), 3600-3606, 2013
62013
Data-Driven Predictive Modeling of Neuronal Dynamics Using Long Short-Term Memory
B Plaster, G Kumar
Algorithms 12 (10), 203, 2019
52019
Controlling Synchronization of Spiking Neuronal Networks by Harnessing Synaptic Plasticity
J Schmalz, G Kumar
Frontiers In Computational Neuroscience 13 (61), 2019
52019
An optimal control problem in closed-loop neuroprostheses
G Kumar, V Aggarwal, NV Thakor, MH Schieber, MV Kothare
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
32011
Designing Closed-Loop Brain-Machine Interfaces Using Model Predictive Control
G Kumar, MV Kothare, NV Thakor, MH Schieber, H Pan, B Ding, W Zhong
Technologies 4 (2), 18, 2016
22016
Trapping Brownian ensemble optimally using Broadcast Stochastic Receding Horizon Control
G Kumar, MV Kothare
Automatica 50 (2), 389-398, 2013
22013
Mapping Vagus Nerve Stimulation Parameters to Cardiac Physiology using Long Short-term Memory Network
A Branen, Y Yao, MV Kothare, B Mahmoudi, G Kumar
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
Sensitivity of linear systems to input orientation and novelty
G Kumar, D Menolascino, SN Ching
Automatica 93, 462-468, 2018
12018
The Geometry of Plasticity-Induced Sensitization in Isoinhibitory Rate Motifs
G Kumar, SN Ching
Neural Computation, 2016
12016
A Control-theoretic Approach to Neural Pharmacology: Optimizing Drug Selection and Dosing
G Kumar, SA Kim, SN Ching
ASME Journal of Dynamic Systems, Measurement and Control, 2016
12016
Maximizing relaxation time in oscillator networks with implications for neurostimulation
G Kumar, SN Ching
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
12014
On the continuous differentiability of inter-spike intervals of synaptically connected cortical spiking neurons in a neuronal network
G Kumar, MV Kothare
Neural Computation 25 (12), 3183-3206, 2013
12013
Data Driven Control of Vagus Nerve Stimulation for the Cardiovascular System: An in Silico Computational Study
A Branen, Y Yao, MV Kothare, B Mahmoudi, G Kumar
Frontiers in Physiology 13, 798157, 2022
2022
CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems
P Kathiravelu, M Arnold, J Fleischer, Y Yao, S Awasthi, AK Goel, A Branen, ...
IEEE Access 10, 36268-36285, 2022
2022
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