| 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 | 516 | 2015 |
| 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 | 206 | 2009 |
| 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 | 188 | 2017 |
| 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 | 158 | 2011 |
| 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 | 151 | 2018 |
| 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 | 138 | 2015 |
| Optimal sensor and actuator placement in complex dynamical networks TH Summers, J Lygeros IFAC Proceedings Volumes 47 (3), 3784-3789, 2014 | 132 | 2014 |
| Topology design for optimal network coherence T Summers, I Shames, J Lygeros, F Dörfler 2015 European Control Conference (ECC), 575-580, 2015 | 86 | 2015 |
| 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 | 86 | 2012 |
| 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 | 79 | 2012 |
| Submodularity of energy related controllability metrics FL Cortesi, TH Summers, J Lygeros 53rd IEEE conference on decision and control, 2883-2888, 2014 | 76 | 2014 |
| 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 | 74 | 2014 |
| 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 | 66 | 2020 |
| 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 | 62 | 2018 |
| Approximate dynamic programming for stochastic reachability N Kariotoglou, S Summers, T Summers, M Kamgarpour, J Lygeros 2013 European Control Conference (ECC), 584-589, 2013 | 60 | 2013 |
| Distributionally robust sampling-based motion planning under uncertainty T Summers 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 50 | 2018 |
| Controlling four agent formations BDO Anderson, C Yu, S Dasgupta, TH Summers IFAC Proceedings Volumes 43 (19), 139-144, 2010 | 50 | 2010 |
| 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 | 47 | 2016 |
| Actuator placement in networks using optimal control performance metrics T Summers 2016 IEEE 55th Conference on Decision and Control (CDC), 2703-2708, 2016 | 43 | 2016 |
| Active influence in dynamical models of structural balance in social networks TH Summers, I Shames Europhysics Letters 103 (1), 18001, 2013 | 41 | 2013 |
John LygerosProf. of Computation and Control, ETH Zurich在 ethz.ch 的电子邮件经过验证
