5 citations · 11 across the 4 of their papers we have counts for
5 papers
A Modified Rao-Blackwellised Particle Filter Based on Updated Process Noise Covariance for Chemical Reaction Networks
Suryasnata Dash, Abhishek Dey
It is necessary to characterize chemical reaction networks (CRNs) accurately to facilitate engineering of both synthetic and naturally occurring biological systems. Estimation of m…
An Exponentially stable Extended Kalman Filter with Estimate dependent Process noise Covariance for Chemical Reaction Networks
Suryasnata Dash, Abhishek Dey
Biomolecular systems are often modeled with partially known nonlinear stochastic dynamics, making state and parameter estimation a central challenge. While Kalman filtering techniq…
Period-Amplitude Co-variation in Biomolecular Oscillators
Venkat Bokka, Abhishek Dey, Shaunak Sen
The period and amplitude of biomolecular oscillators are functionally important properties in multiple contexts. For a biomolecular oscillator, the overall constraints in how tunin…
A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
Abhishek Dey, Kushal Chakrabarti, Krishan Kumar Gola +1
An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.…
Describing Function-based Approximations of Biomolecular Systems
Abhishek Dey, Shaunak Sen
Mathematical methods provide useful framework for the analysis and design of complex systems. In newer contexts such as biology, however, there is a need to both adapt existing met…