Brian P. Ingalls

According to our database, Brian P. Ingalls authored at least 20 papers between 2001 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Deep reinforcement learning for optimal experimental design in biology.

Neythen J. Treloar, Nathan Braniff, Brian P. Ingalls, Chris P. Barnes

PLoS Comput. Biol., November, 2022

Calibrating spatiotemporal models of microbial communities to microscopy data: A review.

Aaron Yip, Julien Smith-Roberge, Sara Khorasani, Marc Aucoin, Brian P. Ingalls

PLoS Comput. Biol., October, 2022

2021

A Keller-Segel model for C elegans L1 aggregation.

Leon Avery, Brian P. Ingalls, Catherine I. Dumur, Alexander Artyukhin

PLoS Comput. Biol., 2021

2020

Deep reinforcement learning for the control of microbial co-cultures in bioreactors.

Neythen J. Treloar, Alex J. H. Fedorec, Brian P. Ingalls, Chris P. Barnes

PLoS Comput. Biol., 2020

2017

An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems.

Monjur Morshed, Brian P. Ingalls, Silvana Ilie

Biosyst., 2017

2013

Effects of multimerization on the temporal variability of protein complex abundance.

Antti Häkkinen, Huy Tran, Olli Yli-Harja, Brian P. Ingalls, Andre S. Ribeiro

BMC Syst. Biol., 2013

Response time re-scaling and Weber's law in adapting biological systems.

Abdullah Hamadeh, Eduardo D. Sontag, Brian P. Ingalls

Proceedings of the American Control Conference, 2013

2012

Exploiting stoichiometric redundancies for computational efficiency and network reduction.

Brian P. Ingalls, Eric Bembenek

Silico Biol., 2012

A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations.

Rohan D. Gidvani, Peter Sudmant, Grace Li, Lance F. DaSilva, Brendan J. McConkey, Bernard P. Duncker, Brian P. Ingalls

BMC Syst. Biol., 2012

Fold-change detection as a chemotaxis model discrimination tool.

Abdullah Hamadeh, Brian P. Ingalls, Eduardo D. Sontag

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Designing synchronization protocols in networks of coupled nodes under uncertainty.

Andrew Dhawan, Abdullah Hamadeh, Brian P. Ingalls

Proceedings of the American Control Conference, 2012

2011

Feedback control architecture of the R. sphaeroides chemotaxis network.

Abdullah Hamadeh, Elias August, Mark A. J. Roberts, Philip K. Maini, Judith P. Armitage, Brian P. Ingalls, Antonis Papachristodoulou

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010

Estimating the Stochastic Bifurcation Structure of Cellular Networks.

Carl Song, Hilary Phenix, Vida Abedi, Matthew Scott, Brian P. Ingalls, Mads Kærn, Theodore J. Perkins

PLoS Comput. Biol., 2010

2006

"Metabolic Control Analysis" from a Control Theoretic Perspective.

Brian P. Ingalls

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2004

Separation Principles for Input-Output and Integral-Input-to-State Stability.

David Angeli, Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang

SIAM J. Control. Optim., 2004

Discussion on: "The Non-Uniform in Time Small-Gain Theorem for a Wide Class of Control Systems with Outputs".

Brian P. Ingalls

Eur. J. Control, 2004

2002

A small-gain theorem with applications to input/output systems, incremental stability, detectability, and interconnections.

Eduardo D. Sontag, Brian P. Ingalls

J. Frankl. Inst., 2002

Measurement to error stability: a notion of partial detectability for nonlinear systems.

Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang

Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001

Asymptotic characterizations of IOSS.

David Angeli, Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang

Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Generalizations of asymptotic gain characterizations of ISS to input-to-output stability.

Brian P. Ingalls, Eduardo D. Sontag, Yuan Wang

Proceedings of the American Control Conference, 2001