David Grimsman

Orcid: 0000-0003-3350-382X

Affiliations:
  • Brigham Young University, Department of Computer Science, Information and Decision Algorithms Laboratories, Provo, UT, USA


According to our database1, David Grimsman authored at least 21 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The Impact of Measurement Passing in Sensor Network Measurement Selection.
IEEE Trans. Control. Netw. Syst., March, 2023

Trajectories for the Optimal Collection of Information.
CoRR, 2023

Who Gets the Whip? How Supplier Diversification Influences Bullwhip Effect in a Supply Chain.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Optimal Design of Best Response Dynamics in Resource Allocation Games.
CoRR, 2022

Valid Utility Games with Information Sharing Constraints.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Developing Ecological Sensors for Real-Time Interpretation of Honeybee Communication.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Execution Order Matters in Greedy Algorithms with Limited Information.
Proceedings of the American Control Conference, 2022

Balancing Asymptotic and Transient Efficiency Guarantees in Set Covering Games.
Proceedings of the American Control Conference, 2022

2021
The Impact of Information in Cooperative and Noncooperative Systems.
PhD thesis, 2021

2020
The Cost of Denied Observation in Multiagent Submodular Optimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

The Impact of Message Passing in Agent-Based Submodular Maximization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Distributed Submodular Maximization with Parallel Execution.
Proceedings of the 2020 American Control Conference, 2020

Stackelberg Equilibria for Two-Player Network Routing Games on Parallel Networks.
Proceedings of the 2020 American Control Conference, 2020

2019
The Impact of Information in Distributed Submodular Maximization.
IEEE Trans. Control. Netw. Syst., 2019

Model Boundary Approximation Method as a Unifying Framework for Balanced Truncation and Singular Perturbation Approximation.
IEEE Trans. Autom. Control., 2019

2018
Value of Information in Greedy Submodular Maximization.
CoRR, 2018

Integrated scheduling and control in discrete-time with dynamic parameters and constraints.
Comput. Chem. Eng., 2018

Strategic Information Sharing in Greedy Submodular Maximization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Impact of information in greedy submodular maximization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Deadbeat-like approximations for sequencing non-rigid heaps.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A case study of a systematic attack design method for critical infrastructure cyber-physical systems.
Proceedings of the 2016 American Control Conference, 2016


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