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Brian P. Ingalls
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2020 – today
- 2022
- [j12]Aaron Yip, Julien Smith-Roberge, Sara Khorasani, Marc Aucoin, Brian P. Ingalls:
Calibrating spatiotemporal models of microbial communities to microscopy data: A review. PLoS Comput. Biol. 18(10): 1010533 (2022) - [j11]Neythen J. Treloar, Nathan Braniff, Brian P. Ingalls, Chris P. Barnes:
Deep reinforcement learning for optimal experimental design in biology. PLoS Comput. Biol. 18(11): 1010695 (2022) - 2021
- [j10]Leon Avery, Brian P. Ingalls, Catherine I. Dumur, Alexander Artyukhin:
A Keller-Segel model for C elegans L1 aggregation. PLoS Comput. Biol. 17(7) (2021) - 2020
- [j9]Neythen J. Treloar, Alex J. H. Fedorec, Brian P. Ingalls, Chris P. Barnes:
Deep reinforcement learning for the control of microbial co-cultures in bioreactors. PLoS Comput. Biol. 16(4) (2020)
2010 – 2019
- 2017
- [j8]Monjur Morshed, Brian P. Ingalls, Silvana Ilie:
An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems. Biosyst. 151: 43-52 (2017) - 2013
- [j7]Antti Häkkinen, Huy Tran, Olli Yli-Harja, Brian P. Ingalls, Andre S. Ribeiro:
Effects of multimerization on the temporal variability of protein complex abundance. BMC Syst. Biol. 7(S-1): S3 (2013) - [c8]Abdullah Hamadeh, Eduardo D. Sontag, Brian P. Ingalls:
Response time re-scaling and Weber's law in adapting biological systems. ACC 2013: 4557-4562 - 2012
- [j6]Rohan D. Gidvani, Peter Sudmant, Grace Li, Lance F. DaSilva, Brendan J. McConkey, Bernard P. Duncker, Brian P. Ingalls:
A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations. BMC Syst. Biol. 6: 78 (2012) - [j5]Brian P. Ingalls, Eric Bembenek:
Exploiting stoichiometric redundancies for computational efficiency and network reduction. Silico Biol. 12(1-2) (2012) - [c7]Andrew Dhawan, Abdullah Hamadeh, Brian P. Ingalls:
Designing synchronization protocols in networks of coupled nodes under uncertainty. ACC 2012: 4945-4950 - [c6]Abdullah Hamadeh, Brian P. Ingalls, Eduardo D. Sontag:
Fold-change detection as a chemotaxis model discrimination tool. CDC 2012: 5523-5527 - 2011
- [c5]Abdullah Hamadeh, Elias August, Mark A. J. Roberts, Philip K. Maini, Judith P. Armitage, Brian P. Ingalls, Antonis Papachristodoulou:
Feedback control architecture of the R. sphaeroides chemotaxis network. CDC/ECC 2011: 3014-3019 - 2010
- [j4]Carl Song, Hilary Phenix, Vida Abedi, Matthew Scott, Brian P. Ingalls, Mads Kærn, Theodore J. Perkins:
Estimating the Stochastic Bifurcation Structure of Cellular Networks. PLoS Comput. Biol. 6(3) (2010)
2000 – 2009
- 2006
- [c4]Brian P. Ingalls:
"Metabolic Control Analysis" from a Control Theoretic Perspective. CDC 2006: 2116-2121 - 2004
- [j3]Brian P. Ingalls:
Discussion on: "The Non-Uniform in Time Small-Gain Theorem for a Wide Class of Control Systems with Outputs". Eur. J. Control 10(4): 324-325 (2004) - [j2]David Angeli, Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang:
Separation Principles for Input-Output and Integral-Input-to-State Stability. SIAM J. Control. Optim. 43(1): 256-276 (2004) - 2002
- [j1]Eduardo D. Sontag, Brian P. Ingalls:
A small-gain theorem with applications to input/output systems, incremental stability, detectability, and interconnections. J. Frankl. Inst. 339(2): 211-229 (2002) - [c3]Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang:
Measurement to error stability: a notion of partial detectability for nonlinear systems. CDC 2002: 3946-3951 - 2001
- [c2]Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang:
Generalizations of asymptotic gain characterizations of ISS to input-to-output stability. ACC 2001: 2279-2284 - [c1]David Angeli, Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang:
Asymptotic characterizations of IOSS. CDC 2001: 881-886
Coauthor Index
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