Generalizations of asymptotic gain characterizations of ISS to input-to-output stability. - Brian P. Ingalls; Eduardo D. Sontag; Yuan Wang 005 (ACC, 2001)

Asymptotic characterizations of IOSS. - David Angeli; Brian P. Ingalls; Eduardo D. Sontag; Yuan Wang 005 (CDC, 2001)

Measurement to error stability: a notion of partial detectability for nonlinear systems. - Brian P. Ingalls; Eduardo D. Sontag; Yuan Wang 005 (CDC, 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)

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)

Separation Principles for Input-Output and Integral-Input-to-State Stability. - David Angeli; Brian P. Ingalls; Eduardo D. Sontag; Yuan Wang 005 (SIAM J. Control. Optim., 2004)

"Metabolic Control Analysis" from a Control Theoretic Perspective. - Brian P. Ingalls (CDC, 2006)

Estimating the Stochastic Bifurcation Structure of Cellular Networks. - Carl Song; Hilary Phenix; Vida Abedi; Matthew Scott 001; Brian P. Ingalls; Mads Kærn; Theodore J. Perkins (PLoS Comput. Biol., 2010)

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 (CDC/ECC, 2011)

Designing synchronization protocols in networks of coupled nodes under uncertainty. - Andrew Dhawan; Abdullah Hamadeh; Brian P. Ingalls (ACC, 2012)

Fold-change detection as a chemotaxis model discrimination tool. - Abdullah Hamadeh; Brian P. Ingalls; Eduardo D. Sontag (CDC, 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)

Exploiting stoichiometric redundancies for computational efficiency and network reduction. - Brian P. Ingalls; Eric Bembenek (Silico Biol., 2012)

Response time re-scaling and Weber's law in adapting biological systems. - Abdullah Hamadeh; Eduardo D. Sontag; Brian P. Ingalls (ACC, 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)

An efficient finite-difference strategy for sensitivity analysis of stochastic models of biochemical systems. - Monjur Morshed; Brian P. Ingalls; Silvana Ilie (Biosyst., 2017)

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)

A Keller-Segel model for C elegans L1 aggregation. - Leon Avery; Brian P. Ingalls; Catherine I. Dumur; Alexander Artyukhin (PLoS Comput. Biol., 2021)

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., 2022)

Deep reinforcement learning for optimal experimental design in biology. - Neythen J. Treloar; Nathan Braniff; Brian P. Ingalls; Chris P. Barnes (PLoS Comput. Biol., 2022)