Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTyler H. Summers
Person information
- affiliation: University of Texas at Dallas, Department of Mechanical Engineering, Richardson, TX, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j27]Kaveh Fathian
, Tyler H. Summers:
CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration. IEEE Robotics Autom. Lett. 9(4): 3562-3569 (2024)- [i58]Kaveh Fathian, Tyler H. Summers:
CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration. CoRR abs/2402.15464 (2024) - [i57]Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn, Tyler H. Summers:
Self-Tuning Network Control Architectures with Joint Sensor and Actuator Selection. CoRR abs/2402.16861 (2024) - 2023
- [j26]Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk bounded nonlinear robot motion planning with integrated perception & control. Artif. Intell. 314: 103812 (2023) - [j25]Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Tyler H. Summers:
Optimal Power Flow With State Estimation in the Loop for Distribution Networks. IEEE Syst. J. 17(3): 3694-3705 (2023) - [j24]Yi Guo, Shen Wang, Ahmad F. Taha, Tyler H. Summers:
Optimal Pump Control for Water Distribution Networks via Data-Based Distributional Robustness. IEEE Trans. Control. Syst. Technol. 31(1): 114-129 (2023) - [j23]Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Gabriela Hug, Tyler H. Summers:
An Online Joint Optimization-Estimation Architecture for Distribution Networks. IEEE Trans. Control. Syst. Technol. 31(6): 2303-2318 (2023) - [c61]Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames:
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking. L4DC 2023: 248-258 - [i56]Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames:
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking: Extended Version. CoRR abs/2302.10411 (2023) - [i55]Sleiman Safaoui, Tyler H. Summers:
Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments. CoRR abs/2309.08821 (2023) - 2022
- [j22]Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers:
Identification of linear systems with multiplicative noise from multiple trajectory data. Autom. 144: 110486 (2022) - [j21]Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Higher-Order Moment-Based Anomaly Detection. IEEE Control. Syst. Lett. 6: 211-216 (2022) - [j20]Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers:
Anomaly Detection Under Multiplicative Noise Model Uncertainty. IEEE Control. Syst. Lett. 6: 1873-1878 (2022) - [j19]Matilde Gargiani, Andrea Zanelli, Dominic Liao-McPherson, Tyler H. Summers, John Lygeros:
Dynamic Programming Through the Lens of Semismooth Newton-Type Methods. IEEE Control. Syst. Lett. 6: 2996-3001 (2022) - [j18]Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi:
Sensor Selection for Dynamics-Driven User-Interface Design. IEEE Trans. Control. Syst. Technol. 30(1): 71-84 (2022) - [j17]Venkatraman Renganathan, Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers:
Spoof Resilient Coordination in Distributed and Robust Robotic Networks. IEEE Trans. Control. Syst. Technol. 30(2): 803-810 (2022) - [c60]Sleiman Safaoui, Lars Lindemann, Iman Shames, Tyler H. Summers:
Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems. ACC 2022: 1555-1562 - [c59]Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers:
Policy Iteration for Multiplicative Noise Output Feedback Control. CDC 2022: 2967-2972 - [c58]Francesco Micheli, Tyler H. Summers, John Lygeros:
Data-driven distributionally robust MPC for systems with uncertain dynamics. CDC 2022: 4788-4793 - [c57]Tyler H. Summers, Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn:
Self-Tuning Network Control Architectures. CDC 2022: 5876-5881 - [c56]Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. ICML 2022: 7223-7240 - [c55]Elad Michael, Tyler H. Summers, Tony A. Wood, Chris Manzie, Iman Shames:
Probabilistic Data Association for Semantic SLAM at Scale. IROS 2022: 4359-4364 - [c54]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. L4DC 2022: 650-662 - [i54]Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. CoRR abs/2201.01483 (2022) - [i53]Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros:
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation. CoRR abs/2202.00308 (2022) - [i52]Elad Michael, Tyler H. Summers, Tony A. Wood, Chris Manzie, Iman Shames:
Probabilistic Data Association for Semantic SLAM at Scale. CoRR abs/2202.12802 (2022) - [i51]Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Gabriela Hug, Tyler H. Summers:
Online Joint Optimal Control-Estimation Architecture in Distribution Networks. CoRR abs/2203.11327 (2022) - [i50]Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers:
Policy Iteration for Multiplicative Noise Output Feedback Control. CoRR abs/2203.17165 (2022) - [i49]Sleiman Safaoui, Lars Lindemann, Iman Shames, Tyler H. Summers:
Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems. CoRR abs/2204.04310 (2022) - [i48]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. CoRR abs/2205.05119 (2022) - [i47]Yi Guo, Ognjen Stanojev, Gabriela Hug, Tyler H. Summers:
Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach. CoRR abs/2208.09268 (2022) - [i46]Francesco Micheli, Tyler H. Summers, John Lygeros:
Data-driven distributionally robust MPC for systems with uncertain dynamics. CoRR abs/2209.08869 (2022) - 2021
- [j16]Benjamin Gravell, Karthik Ganapathy, Tyler H. Summers:
Policy Iteration for Linear Quadratic Games With Stochastic Parameters. IEEE Control. Syst. Lett. 5(1): 307-312 (2021) - [j15]Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers:
Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient. IEEE Trans. Autom. Control. 66(11): 5283-5298 (2021) - [j14]Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour:
Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms. IEEE Trans. Autom. Control. 66(12): 5845-5860 (2021) - [j13]Karthik Ganapathy, Justin Ruths, Tyler H. Summers:
Performance Bounds for Optimal and Robust Feedback Control in Networks. IEEE Trans. Control. Netw. Syst. 8(4): 1754-1766 (2021) - [j12]Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust Distributed Planar Formation Control for Higher Order Holonomic and Nonholonomic Agents. IEEE Trans. Robotics 37(1): 185-205 (2021) - [c53]Dhanushki Hewawaduge, Tyler H. Summers, Armin Zare:
Robustness of variance suppression in channel flows with imperfect transverse wall oscillations. ACC 2021: 292-297 - [c52]Raul Quinonez, Sleiman Safaoui, Tyler H. Summers, Bhavani Thuraisingham, Alvaro A. Cárdenas:
Shared Reality: Detecting Stealthy Attacks Against Autonomous Vehicles. CPSIOTSEC@CCS 2021: 15-26 - [c51]Benjamin Gravell, Tyler H. Summers:
Stochastic Stability via Robustness of Linear Systems. CDC 2021: 5918-5923 - [c50]Karthik Ganapathy, Tyler H. Summers:
Performance bounds for robust estimation using the H∞ filter. ECC 2021: 2329-2333 - [c49]Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers:
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty. IROS 2021: 3681-3688 - [c48]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Approximate Midpoint Policy Iteration for Linear Quadratic Control. L4DC 2021: 1080-1092 - [i45]Benjamin Gravell, Tyler H. Summers:
Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms. CoRR abs/2101.08829 (2021) - [i44]Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers:
Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty. CoRR abs/2103.05572 (2021) - [i43]Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers:
Anomaly Detection Under Multiplicative Noise Model Uncertainty. CoRR abs/2103.15228 (2021) - [i42]Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers:
Identification of Linear Systems with Multiplicative Noise from Multiple Trajectory Data. CoRR abs/2106.16078 (2021) - 2020
- [j11]Sleiman Safaoui, Lars Lindemann, Dimos V. Dimarogonas, Iman Shames, Tyler H. Summers:
Control Design for Risk-Based Signal Temporal Logic Specifications. IEEE Control. Syst. Lett. 4(4): 1000-1005 (2020) - [j10]Iman Shames, Tyler H. Summers:
Corrections to "Rigid Network Design Via Submodular Set Function Optimization". IEEE Trans. Netw. Sci. Eng. 7(3): 2114 (2020) - [c47]Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. ACC 2020: 1247-1252 - [c46]Yi Guo, Xinyang Zhou, Changhong Zhao, Yue Chen, Tyler H. Summers, Lijun Chen:
Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback. ACC 2020: 3148-3155 - [c45]Vignesh Raghuraman, Venkatraman Renganathan, Tyler H. Summers, Justin P. Koeln:
Hierarchical MPC with Coordinating Terminal Costs. ACC 2020: 4126-4133 - [c44]Yi Guo, Mario Rotea, Tyler H. Summers:
Stochastic Dynamic Programming for Wind Farm Power Maximization. ACC 2020: 4824-4829 - [c43]Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers:
Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data. ACC 2020: 5157-5261 - [c42]Benjamin Gravell, Tyler H. Summers:
Robust Learning-Based Control via Bootstrapped Multiplicative Noise. L4DC 2020: 599-607 - [i41]Venkatraman Renganathan, Iman Shames, Tyler H. Summers:
Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. CoRR abs/2002.02928 (2020) - [i40]Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers:
Linear System Identification under Multiplicative Noise from Multiple Trajectory Data. CoRR abs/2002.06613 (2020) - [i39]Benjamin Gravell, Tyler H. Summers:
Robust Learning-Based Control via Bootstrapped Multiplicative Noise. CoRR abs/2002.10069 (2020) - [i38]Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi:
Trust-based user-interface design for human-automation systems. CoRR abs/2004.07176 (2020) - [i37]Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Tyler H. Summers:
Optimal Power Flow with State Estimation In-the-Loop for Distribution Networks. CoRR abs/2005.00345 (2020) - [i36]Yi Guo, Shen Wang, Ahmad F. Taha, Tyler H. Summers:
Optimal Pump Control for Water Distribution Networks via Data-based Distributional Robustness. CoRR abs/2005.08382 (2020) - [i35]Sleiman Safaoui, Lars Lindemann, Dimos V. Dimarogonas, Iman Shames, Tyler H. Summers:
Control Design for Risk-Based Signal Temporal Logic Specifications. CoRR abs/2006.00317 (2020) - [i34]Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Higher-Order Moment-Based Anomaly Detection. CoRR abs/2011.01522 (2020) - [i33]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Approximate Midpoint Policy Iteration for Linear Quadratic Control. CoRR abs/2011.14212 (2020) - [i32]Ahmad F. Taha, Shen Wang, Yi Guo, Tyler H. Summers, Nikolaos Gatsis, Marcio H. Giacomoni, Ahmed A. Abokifa:
Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics. CoRR abs/2012.05268 (2020)
2010 – 2019
- 2019
- [j9]Sebastian A. Nugroho, Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Ram Krishnan:
Algorithms for joint sensor and control nodes selection in dynamic networks. Autom. 106: 124-133 (2019) - [j8]Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Sebastian A. Nugroho:
Time-Varying Sensor and Actuator Selection for Uncertain Cyber-Physical Systems. IEEE Trans. Control. Netw. Syst. 6(2): 750-762 (2019) - [c41]Kaveh Fathian, Dmitrii I. Rachinskii, Mark W. Spong, Tyler H. Summers, Nicholas R. Gans:
Distributed Formation Control via Mixed Barycentric Coordinate and Distance-Based Approach. ACC 2019: 51-58 - [c40]Yi Guo, Tyler H. Summers:
A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia. ACC 2019: 1965-1970 - [c39]Wouter Jongeneel, Tyler H. Summers, Peyman Mohajerin Esfahani:
Robust Linear Quadratic Regulator: Exact Tractable Reformulation. CDC 2019: 6742-6747 - [c38]Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour:
Actuator Placement for Optimizing Network Performance under Controllability Constraints. CDC 2019: 7140-7147 - [c37]Tyler H. Summers, Maryam Kamgarpour:
Performance guarantees for greedy maximization of non-submodular controllability metrics. ECC 2019: 2796-2801 - [c36]Edgar Bolívar, Siavash Rezazadeh, Tyler H. Summers, Robert D. Gregg:
Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle. ICORR 2019: 740-747 - [c35]Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust 3D Distributed Formation Control With Collision Avoidance And Application To Multirotor Aerial Vehicles. ICRA 2019: 9209-9215 - [i31]Yi Guo, Tyler H. Summers:
A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia. CoRR abs/1903.00635 (2019) - [i30]Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour:
Actuator Placement for Optimizing Network Performance under Controllability Constraints. CoRR abs/1903.08120 (2019) - [i29]Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers:
Learning robust control for LQR systems with multiplicative noise via policy gradient. CoRR abs/1905.13547 (2019) - [i28]Benjamin Gravell, Yi Guo, Tyler H. Summers:
Sparse optimal control of networks with multiplicative noise via policy gradient. CoRR abs/1905.13548 (2019) - [i27]Yi Guo, Mario Rotea, Tyler H. Summers:
Stochastic Dynamic Programming for Wind Farm Power Maximization. CoRR abs/1908.09034 (2019) - [i26]Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers:
Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. CoRR abs/1909.12506 (2019) - [i25]Yi Guo, Xinyang Zhou, Changhong Zhao, Yue Chen, Tyler H. Summers, Lijun Chen:
Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback. CoRR abs/1909.12763 (2019) - 2018
- [j7]Kaveh Fathian, Tyler H. Summers, Nicholas R. Gans:
Robust Distributed Formation Control of Agents With Higher-Order Dynamics. IEEE Control. Syst. Lett. 2(3): 495-500 (2018) - [j6]Marcello Colombino, Roy S. Smith, Tyler H. Summers:
Mutually Quadratically Invariant Information Structures in Two-Team Stochastic Dynamic Games. IEEE Trans. Autom. Control. 63(7): 2256-2263 (2018) - [j5]Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros:
Corrections to "On Submodularity and Controllability in Complex Dynamical Networks". IEEE Trans. Control. Netw. Syst. 5(3): 1503 (2018) - [c34]Tyler H. Summers, Justin Ruths:
Performance bounds for optimal feedback control in networks. ACC 2018: 203-209 - [c33]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. ACC 2018: 3840-3846 - [c32]Sebastian Nugroho, Ahmad F. Taha, Tyler H. Summers, Nikolaos Gatsis:
Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control. ACC 2018: 4159-4164 - [c31]Tyler H. Summers:
Distributionally Robust Sampling-Based Motion Planning Under Uncertainty. IROS 2018: 6518-6523 - [c30]Olalekan P. Ogunmolu, Nicholas R. Gans, Tyler H. Summers:
Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks. IROS 2018: 6919-6925 - [i24]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies. CoRR abs/1804.06384 (2018) - [i23]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies. CoRR abs/1804.06388 (2018) - [i22]Sebastian Nugroho, Ahmad F. Taha, Tyler H. Summers, Nikolaos Gatsis:
Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control. CoRR abs/1806.05481 (2018) - [i21]Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust Distributed Planar Formation Control for Higher-Order Holonomic and Nonholonomic Agents. CoRR abs/1807.11058 (2018) - [i20]Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans:
Robust 3D Distributed Formation Control with Application to Quadrotors. CoRR abs/1809.00093 (2018) - [i19]Sebastian A. Nugroho, Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Ram Krishnan:
Algorithms for Joint Sensor and Control Nodes Selection in Dynamic Networks. CoRR abs/1811.11792 (2018) - [i18]Edgar Bolívar, Siavash Rezazadeh, Tyler H. Summers, Robert D. Gregg:
Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle. CoRR abs/1812.04771 (2018) - 2017
- [j4]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes. J. Artif. Intell. Res. 60: 263-284 (2017) - [c29]Kaveh Fathian, Dmitrii I. Rachinskii, Tyler H. Summers, Mark W. Spong, Nicholas R. Gans:
Distributed formation control under arbitrarily changing topology. ACC 2017: 271-278 - [c28]Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Sebastian Nugroho:
Actuator selection for cyber-physical systems. ACC 2017: 5300-5305 - [c27]Venkatraman Renganathan, Tyler H. Summers:
Spoof resilient coordination for distributed multi-robot systems. MRS 2017: 135-141 - [i17]Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers:
Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. CoRR abs/1706.04267 (2017) - [i16]Tyler H. Summers, Changyuan Li, Maryam Kamgarpour:
Information Structure Design in Team Decision Problems. CoRR abs/1706.05572 (2017) - [i15]Tyler H. Summers, Justin Ruths:
Performance bounds for optimal feedback control in networks. CoRR abs/1707.04528 (2017) - [i14]Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Sebastian Nugroho:
Time-Varying Sensor and Actuator Selection for Uncertain Cyber-Physical Systems. CoRR abs/1708.07912 (2017) - [i13]Olalekan P. Ogunmolu, Nicholas R. Gans, Tyler H. Summers:
Robust Zero-Sum Deep Reinforcement Learning. CoRR abs/1710.00491 (2017) - [i12]Tyler H. Summers, Maryam Kamgarpour:
Performance guarantees for greedy maximization of non-submodular set functions in systems and control. CoRR abs/1712.04122 (2017) - 2016
- [j3]Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros:
On Submodularity and Controllability in Complex Dynamical Networks. IEEE Trans. Control. Netw. Syst. 3(1): 91-101 (2016) - [c26]Tyler H. Summers, Iman Shames:
Convex relaxations and Gramian rank constraints for sensor and actuator selection in networks. ISIC 2016: 1-6 - [c25]Abraham P. Vinod, Tyler H. Summers, Meeko M. K. Oishi:
User-interface design for MIMO LTI human-automation systems through sensor placement. ACC 2016: 5276-5283 - [c24]Kaveh Fathian, Dmitrii I. Rachinskii, Tyler H. Summers, Nicholas R. Gans:
Distributed control of cyclic formations with local relative position measurements. CDC 2016: 49-56 - [c23]Tyler H. Summers:
Actuator placement in networks using optimal control performance metrics. CDC 2016: 2703-2708 - [c22]Emiliano Dall'Anese, Kyri Baker, Tyler H. Summers:
Optimal power flow for distribution systems under uncertain forecasts. CDC 2016: 7502-7507 - 2015
- [j2]Iman Shames, Tyler H. Summers:
Rigid Network Design Via Submodular Set Function Optimization. IEEE Trans. Netw. Sci. Eng. 2(3): 84-96 (2015) - [c21]Marcello Colombino, Tyler H. Summers, Roy S. Smith:
Quadratic two-team games. CDC 2015: 4557-4562 - [c20]Iman Shames, Tyler H. Summers, Farhad Farokhi, Rohan C. Shekhar:
Conditions and strategies for uniqueness of the solutions to cooperative localization and mapping problems using rigidity theory. CDC 2015: 6127-6132 - [c19]Tyler H. Summers, Iman Shames, John Lygeros, Florian Dörfler:
Topology design for optimal network coherence. ECC 2015: 575-580 - [i11]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
Upper bounds for the reach-avoid probability via robust optimization. CoRR abs/1506.03371 (2015) - 2014
- [c18]Fabrizio L. Cortesi, Tyler H. Summers, John Lygeros:
Submodularity of energy related controllability metrics. CDC 2014: 2883-2888 - [c17]Iman Shames, Tyler H. Summers:
Network design via modular set function optimization in localization problems. SAM 2014: 29-32 - [c16]Tyler H. Summers, Joseph Warrington, Manfred Morari, John Lygeros:
Stochastic optimal power flow based on convex approximations of chance constraints. PSCC 2014: 1-7 - [i10]Fabrizio L. Cortesi, Tyler H. Summers, John Lygeros:
Submodularity of Energy Related Controllability Metrics. CoRR abs/1403.6351 (2014) - [i9]Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros:
On Submodularity and Controllability in Complex Dynamical Networks. CoRR abs/1404.7665 (2014) - [i8]Tyler H. Summers, Iman Shames, John Lygeros, Florian Dörfler:
Topology Design for Optimal Network Coherence. CoRR abs/1411.4884 (2014) - [i7]Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros:
A numerical approach to stochastic reach-avoid problems for Markov Decision Processes. CoRR abs/1411.5925 (2014) - 2013
- [c15]Adrian N. Bishop, Tyler H. Summers, Brian D. O. Anderson:
Stabilization of stiff formations with a mix of direction and distance constraints. CCA 2013: 1194-1199 - [c14]Tyler H. Summers, Changbin Yu, Soura Dasgupta, Brian D. O. Anderson:
Certifying non-existence of undesired locally stable equilibria in formation shape control problems. ISIC 2013: 200-205 - [c13]Tyler H. Summers, Paul J. Goulart:
Performance bounds for constrained linear min-max control. ECC 2013: 185-190 - [c12]Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros:
Approximate dynamic programming via sum of squares programming. ECC 2013: 191-197 - [c11]Nikolaos Kariotoglou, Sean Summers, Tyler H. Summers, Maryam Kamgarpour, John Lygeros:
Approximate dynamic programming for stochastic reachability. ECC 2013: 584-589 - [c10]Konstantin Kunz, Stephan M. Huck, Tyler H. Summers:
Fast Model Predictive Control of miniature helicopters. ECC 2013: 1377-1382 - [i6]Tyler H. Summers, John Lygeros:
Optimal Sensor and Actuator Placement in Complex Dynamical Networks. CoRR abs/1306.2491 (2013) - [i5]Tyler H. Summers, Iman Shames:
Active influence in dynamical models of structural balance in social networks. CoRR abs/1306.5338 (2013) - [i4]Tyler H. Summers, Paul J. Goulart:
Performance Bounds for Constrained Linear Min-Max Control. CoRR abs/1307.2087 (2013) - [i3]Tyler H. Summers, Changbin Yu, Soura Dasgupta, Brian D. O. Anderson:
Certifying non-existence of undesired locally stable equilibria in formation shape control problems. CoRR abs/1307.2089 (2013) - 2012
- [c9]Adrian N. Bishop, Tyler H. Summers, Brian D. O. Anderson:
Control of triangle formations with a mix of angle and distance constraints. CCA 2012: 825-830 - [c8]Tyler H. Summers, John Lygeros:
Distributed model predictive consensus via the Alternating Direction Method of Multipliers. Allerton Conference 2012: 79-84 - [c7]Christian Conte, Tyler H. Summers, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones:
Computational aspects of distributed optimization in model predictive control. CDC 2012: 6819-6824 - [i2]Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros:
Approximate Dynamic Programming via Sum of Squares Programming. CoRR abs/1212.1269 (2012) - [i1]Tyler H. Summers, John Lygeros:
Distributed Model Predictive Consensus via the Alternating Direction Method of Multipliers. CoRR abs/1212.1296 (2012) - 2011
- [j1]Tyler H. Summers, Changbin Yu, Soura Dasgupta, Brian D. O. Anderson:
Control of Minimally Persistent Leader-Remote-Follower and Coleader Formations in the Plane. IEEE Trans. Autom. Control. 56(12): 2778-2792 (2011) - [c6]Soura Dasgupta, Brian D. O. Anderson, Changbin Yu, Tyler H. Summers:
Controlling rectangular formations. AuCC 2011: 44-49
2000 – 2009
- 2009
- [c5]Tyler H. Summers, Changbin Yu, Brian D. O. Anderson, Soura Dasgupta:
Formation shape control: Global asymptotic stability of a four-agent formation. CDC 2009: 3002-3007 - [c4]Tyler H. Summers, Changbin Yu, Brian D. O. Anderson, Soura Dasgupta:
Control of coleader formations in the plane. CDC 2009: 8334-8339 - [c3]Tyler H. Summers, Changbin Yu, Brian D. O. Anderson, Soura Dasgupta:
Control of minimally persistent leader-remote-follower formations in the plane. ECC 2009: 2438-2443 - 2008
- [c2]Tyler H. Summers, Changbin Yu, Brian D. O. Anderson:
Robustness to agent loss in vehicle formations & sensor networks. CDC 2008: 1193-1199 - 2007
- [c1]Tyler H. Summers, Maruthi R. Akella:
A Non-Certainty Equivalence Approach to Decentralized Adaptive Control. SoSE 2007: 1-6
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-02 22:35 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
