activity
20162019
most citedGeometric stability considerations of the ribosome flow model with pool

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY2019

Sampling Strategies for Data-Driven Inference of Input-Output System Properties

Anne Koch, Jan Maximilian Montenbruck, Frank Allgöwer

Due to their relevance in controller design, we consider the problem of determining the -gain, passivity properties and conic relations of an input-output system. Wh…

eess.SP2018

On Lossless Causal Compression of Periodic Signals

Jan Maximilian Montenbruck, Shen Zeng

We present and study a scheme for lossless causal compression of periodic real-valued signals. In particular, our technique compresses a vector-valued signal to a scalar-valued sig…

q-bio.MN2016

A resource dependent protein synthesis model for evaluating synthetic circuits

Wolfgang Halter, Jan Maximilian Montenbruck, Zoltan A. Tuza +1

Reliable in-silico design of synthetic gene networks necessitates novel approaches to model the process of protein synthesis under the influence of limited resources. We present su…

q-bio.SC2016★ 1 cited

Geometric stability considerations of the ribosome flow model with pool

Wolfgang Halter, Jan Maximilian Montenbruck, Frank Allgöwer

In order to better understand the process of gene translation, the ribosome flow model (RFM) with pool was introduced recently. This model describes the movement of several ribosom…

math.OC2016

Fekete points, formation control, and the balancing problem

Jan Maximilian Montenbruck, Daniel Zelazo, Frank Allgöwer

We study formation control problems. Our approach is to let a group of systems maximize their pairwise distances whilst bringing them all to a given submanifold, determining the sh…