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Tyler Summers
Tyler Summers
Associate Professor, University of Texas at Dallas
Verified email at utdallas.edu - Homepage
Title
Cited by
Cited by
Year
On submodularity and controllability in complex dynamical networks
TH Summers, FL Cortesi, J Lygeros
IEEE Transactions on Control of Network Systems 3 (1), 91-101, 2015
5482015
Coordinated standoff tracking of moving targets: Control laws and information architectures
TH Summers, MR Akella, MJ Mears
AIAA Journal of Guidance, Control, and Dynamics AIAA Guidance, Navigation …, 2009
2082009
Chance-constrained AC optimal power flow for distribution systems with renewables
E Dall’Anese, K Baker, T Summers
IEEE Transactions on Power Systems 32 (5), 3427-3438, 2017
2012017
Data-based distributionally robust stochastic optimal power flow—Part I: Methodologies
Y Guo, K Baker, E Dall’Anese, Z Hu, TH Summers
IEEE Transactions on Power Systems 34 (2), 1483-1492, 2018
1632018
Control of minimally persistent leader-remote-follower and coleader formations in the plane
TH Summers, C Yu, S Dasgupta, BDO Anderson
IEEE Transactions on Automatic Control 56 (12), 2778-2792, 2011
1602011
Stochastic optimal power flow based on conditional value at risk and distributional robustness
T Summers, J Warrington, M Morari, J Lygeros
International Journal of Electrical Power & Energy Systems 72, 116-125, 2015
1402015
Optimal sensor and actuator placement in complex dynamical networks
TH Summers, J Lygeros
IFAC Proceedings Volumes 47 (3), 3784-3789, 2014
1382014
Topology design for optimal network coherence
T Summers, I Shames, J Lygeros, F Dörfler
2015 European Control Conference (ECC), 575-580, 2015
902015
Distributed model predictive consensus via the alternating direction method of multipliers
TH Summers, J Lygeros
2012 50th annual Allerton conference on communication, control, and …, 2012
892012
Submodularity of energy related controllability metrics
FL Cortesi, TH Summers, J Lygeros
53rd IEEE conference on decision and control, 2883-2888, 2014
812014
Computational aspects of distributed optimization in model predictive control
C Conte, T Summers, MN Zeilinger, M Morari, CN Jones
2012 IEEE 51st IEEE conference on decision and control (CDC), 6819-6824, 2012
812012
Learning optimal controllers for linear systems with multiplicative noise via policy gradient
B Gravell, PM Esfahani, T Summers
IEEE Transactions on Automatic Control 66 (11), 5283-5298, 2020
792020
Stochastic optimal power flow based on convex approximations of chance constraints
T Summers, J Warrington, M Morari, J Lygeros
2014 Power Systems Computation Conference, 1-7, 2014
752014
Data-based distributionally robust stochastic optimal power flow—Part II: Case studies
Y Guo, K Baker, E Dall’Anese, Z Hu, TH Summers
IEEE Transactions on Power Systems 34 (2), 1493-1503, 2018
652018
Approximate dynamic programming for stochastic reachability
N Kariotoglou, S Summers, T Summers, M Kamgarpour, J Lygeros
2013 European Control Conference (ECC), 584-589, 2013
602013
Distributionally robust sampling-based motion planning under uncertainty
T Summers
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
562018
Distribution-agnostic stochastic optimal power flow for distribution grids
K Baker, E Dall'Anese, T Summers
2016 North American power symposium (NAPS), 1-6, 2016
502016
Controlling four agent formations
BDO Anderson, C Yu, S Dasgupta, TH Summers
IFAC Proceedings Volumes 43 (19), 139-144, 2010
502010
Actuator placement in networks using optimal control performance metrics
T Summers
2016 IEEE 55th Conference on Decision and Control (CDC), 2703-2708, 2016
432016
Learning robust control for LQR systems with multiplicative noise via policy gradient
B Gravell, PM Esfahani, T Summers
arXiv preprint arXiv:1905.13547, 2019
422019
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