Publications

Journal Publications

D. Grimsman, M. R. Kirchner, J. P. Hespanha and J. R. Marden, “The impact of message passing in agent-based submodular maximization,” IEEE Transactions on Control of Network Systems, 2022. doi:10.1109/TCNS.2022.3187078

arXiv version: https://arxiv.org/abs/2004.03050

P. E. Paré, D. Grimsman, A. T. Wilson, M. K. Transtrum and S. Warnick, “Model boundary approximation method as a unifying framework for balanced truncation and singular perturbation approximation,” IEEE Transactions on Automatic Control, 2019. doi:10.1109/TAC.2019.2908523

arXiv version: https://arxiv.org/abs/1901.02569

D. Grimsman, M. S. Ali, J. P. Hespanha, and J. R. Marden, “The impact of information in greedy submodular maximization,” IEEE Transactions on Control of Network Systems, 2018. doi:10.1109/TCNS.2018.2889005

arXiv version: https://arxiv.org/abs/1807.10639

L. D. R. Beal, D. Peterson, D. Grimsman, S. Warnick and J. D. Hedengren, “Integrated scheduling and control in discrete-time with dynamic parameters and constraints,” Computers and Chemical Engineering, 2018. doi:10.1016/j.compchemeng.2018.04.010

Conference Proceedings

G. Holt, P. Murray, D. Grimsman and S. Warnick, "Developing Ecological Sensors for Real-Time Interpretation of Honeybee Communication", Conference on Control Technology and Application, 2022.


R. Konda, R. Chandan, D. Grimsman and J. R. Marden, “Balancing asymptotic and transient efficiency guarantees in set covering games”, American Control Conference, 2022.

arXiv version: https://arxiv.org/abs/2106.04031


R. Konda, D. Grimsman and J. R. Marden, “Execution order matters in greedy algorithms with limited information”, American Control Conference, 2022.

arXiv version: https://arxiv.org/abs/2111.09154


D. Grimsman, M. R. Kirchner, J. P. Hespanha and J. R. Marden, “The impact of message passing in agent-based submodular maximization,” IEEE Conference on Decision and Control, 2020. doi:10.1109/CDC42340.2020.9304154

arXiv version: http://arxiv.org/abs/2004.03050


D. Grimsman, J. H. Seaton, J. R. Marden and P. N. Brown, “The cost of denied observation in multiagent submodular optimization,” IEEE Conference on Decision and Control, 2020. doi:10.1109/CDC42340.2020.9304054


H. Sun, D. Grimsman and J. R. Marden, “Distributed submodular maximization with parallel execution,” American Control Conference, 2020. doi:10.23919/ACC45564.2020.9147476


D. Grimsman, J. P. Hespanha and J. R. Marden, “Stackelberg equilibria for two-player network routing games on parallel networks,” IFAC American Control Conference, 2020. doi:10.23919/ACC45564.2020.9147705

arXiv version: https://arxiv.org/abs/2003.05882


D. Grimsman, J. P. Hespanha and J. R. Marden, “Strategic information sharing in greedy submodular maximization,” IEEE Conference on Decision and Control, 2018. doi:10.1109/CDC.2018.8619166


D. Grimsman, M. S. Ali, J. P. Hespanha, and J. R. Marden, “Impact of information in greedy submodular maximization,” IEEE Conference on Decision and Control, 2017. doi:10.1109/CDC.2017.8264080


D. Grimsman and S. Warnick, “Deadbeat-like approximations for sequencing non-rigid heaps,” IEEE Conference on Decision and Control, 2016. doi:10.1109/CDC.2016.7798863


D. Grimsman, V. Chetty, N. Woodbury, E. Vaziripour, S. Roy, D. Zappala and S. Warnick, “A case study of a systematic attack design method for critical infrastructure cyber-physical systems,” American Control Conference, 2016. doi:10.1109/ACC.2016.7524931

Theses

D. Grimsman, "The impact of information in cooperative and noncooperative systems", PhD Dissertation. University of California, Santa Barbara, Santa Barbara, CA, 2021. link

D. Grimsman, "The asynchronous t-step approximation for scheduling batch flow systems", Master's Thesis. Brigham Young University, Provo, UT , 2016. link