activity
20162020
collaborators

6 papers

math.OC2020

A Direct Method for Solving Integral Penalty Transcriptions of Optimal Control Problems

Martin P. Neuenhofen, Eric C. Kerrigan

We present a numerical method for the minimization of objectives that are augmented with large quadratic penalties of overdetermined inconsistent equality constraints. Such objecti…

math.OC2020

An Integral Penalty-Barrier Direct Transcription Method for Optimal Control

Martin P. Neuenhofen, Eric C. Kerrigan

Some direct transcription methods can fail to converge, e.g. when there are singular arcs. We recently introduced a convergent direct transcription method for optimal control probl…

eess.SY2020

Optimal partitioning of multi-thermal zone buildings for decentralized control

E. Atam, E. C. Kerrigan

In this paper, we develop an optimization-based systematic approach for the challenging, less studied, and important problem of optimal partitioning of multi-thermal zone buildings…

cs.IT2020

Information transmission bounds between moving terminals

Omar James Faqir, Eric C. Kerrigan, Deniz Gündüz

In networks of mobile autonomous agents, e.g. for data acquisition, we may wish to maximize data transfer or to reliably transfer a minimum amount of data, subject to quality of se…

eess.SY2019

Joint Optimization of Transmission and Propulsion in UAV-Assisted Communication Networks

Omar J. Faqir, Eric C. Kerrigan, Deniz Gündüz +1

The communication energy in a wireless network of mobile autonomous agents should be defined to include the propulsion energy as well as the transmission energy used to facilitate…

math.OC2016

Analytical results for the multi-objective design of model-predictive control

Vincent Bachtiar, Chris Manzie, William H. Moase +1

In model-predictive control (MPC), achieving the best closed-loop performance under a given computational resource is the underlying design consideration. This paper analyzes the M…