| 1 |
Online deep neural network-based feedback control of a Lutein bioprocess
Natarajan P, Moghadam R, Jagannathan S
Journal of Process Control, 98, 41, 2021 |
| 2 |
Output-Constrained Control of Nonaffine Multiagent Systems With Partially Unknown Control Directions
Fan B, Yang QM, Jagannathan S, Sun YX
IEEE Transactions on Automatic Control, 64(9), 3936, 2019 |
| 3 |
Adaptive neural control of high-order uncertain nonaffine systems: A transformation to affine systems approach
Meng WC, Yang QM, Jagannathan S, Sun YX
Automatica, 50(5), 1473, 2014 |
| 4 |
Stochastic optimal control of unknown linear networked control system in the presence of random delays and packet losses
Xu H, Jagannathan S, Lewis FL
Automatica, 48(6), 1017, 2012 |
| 5 |
Discrete-time neural network output feedback control of nonlinear discrete-time systems in non-strict form
Vance J, Jagannathan S
Automatica, 44(4), 1020, 2008 |
| 6 |
A domain-specific compiler theory based framework for automated reaction network generation
Hsu SH, Krishnamurthy B, Rao P, Zhao CH, Jagannathan S, Venkatasubramanian V
Computers & Chemical Engineering, 32(10), 2455, 2008 |
| 7 |
Solid-state spun fibers and yarns from 1-mm long carbon nanotube forests synthesized by water-assisted chemical vapor deposition
Zhang S, Zhu L, Minus ML, Chae HG, Jagannathan S, Wong CP, Kowalik J, Roberson LB, Kumar S
Journal of Materials Science, 43(13), 4356, 2008 |
| 8 |
Structure and electrochemical properties of activated polyacrylonitrile based carbon fibers containing carbon nanotubes
Jagannathan S, Chae HG, Jain R, Kumar S
Journal of Power Sources, 185(2), 676, 2008 |
| 9 |
Carbon nanotube dispersion and exfoliation in polypropylene and structure and properties of the resulting composites
Lee GW, Jagannathan S, Chae HG, Minus ML, Kumar S
Polymer, 49(7), 1831, 2008 |
| 10 |
Organic nanoparticles: Preparation, self-assembly, and properties
Jagannathan R, Irvin G, Blanton T, Jagannathan S
Advanced Functional Materials, 16(6), 747, 2006 |
