Tyler H. Summers

According to our database, Tyler H. Summers authored at least 112 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Decentralized, Safe, Multiagent Motion Planning for Drones Under Uncertainty via Filtered Reinforcement Learning.

Abraham P. Vinod, Sleiman Safaoui, Tyler H. Summers, Nobuyuki Yoshikawa, Stefano Di Cairano

IEEE Trans. Control. Syst. Technol., November, 2024

Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach.

Yi Guo, Ognjen Stanojev, Gabriela Hug, Tyler H. Summers

IEEE Trans. Control. Syst. Technol., July, 2024

CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration.

Kaveh Fathian, Tyler H. Summers

IEEE Robotics Autom. Lett., 2024

cvxRiskOpt: A Risk-Based Optimization Tool Based on CVXPY.

Sleiman Safaoui, Tyler H. Summers

IEEE Control. Syst. Lett., 2024

A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games.

Yuxiang Guan, Giulio Salizzoni, Maryam Kamgarpour, Tyler H. Summers

CoRR, 2024

Self-Tuning Network Control Architectures with Joint Sensor and Actuator Selection.

Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn, Tyler H. Summers

CoRR, 2024

Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments.

Sleiman Safaoui, Tyler H. Summers

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

An Online Joint Optimization-Estimation Architecture for Distribution Networks.

Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Gabriela Hug, Tyler H. Summers

IEEE Trans. Control. Syst. Technol., November, 2023

Optimal Power Flow With State Estimation in the Loop for Distribution Networks.

Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Tyler H. Summers

IEEE Syst. J., September, 2023

Optimal Pump Control for Water Distribution Networks via Data-Based Distributional Robustness.

Yi Guo, Shen Wang, Ahmad F. Taha, Tyler H. Summers

IEEE Trans. Control. Syst. Technol., 2023

Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking: Extended Version.

Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames

CoRR, 2023

Risk bounded nonlinear robot motion planning with integrated perception & control.

Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers

Artif. Intell., 2023

Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking.

Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Sensor Selection for Dynamics-Driven User-Interface Design.

Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi

IEEE Trans. Control. Syst. Technol., 2022

Spoof Resilient Coordination in Distributed and Robust Robotic Networks.

Venkatraman Renganathan, Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers

IEEE Trans. Control. Syst. Technol., 2022

Higher-Order Moment-Based Anomaly Detection.

Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers

IEEE Control. Syst. Lett., 2022

Anomaly Detection Under Multiplicative Noise Model Uncertainty.

Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers

IEEE Control. Syst. Lett., 2022

Dynamic Programming Through the Lens of Semismooth Newton-Type Methods.

Matilde Gargiani, Andrea Zanelli, Dominic Liao-McPherson, Tyler H. Summers, John Lygeros

IEEE Control. Syst. Lett., 2022

Online Joint Optimal Control-Estimation Architecture in Distribution Networks.

Yi Guo, Xinyang Zhou, Changhong Zhao, Lijun Chen, Gabriela Hug, Tyler H. Summers

CoRR, 2022

Identification of linear systems with multiplicative noise from multiple trajectory data.

Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers

Autom., 2022

Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise.

Benjamin Gravell, Iman Shames, Tyler H. Summers

Proceedings of the Learning for Dynamics and Control Conference, 2022

Probabilistic Data Association for Semantic SLAM at Scale.

Elad Michael, Tyler H. Summers, Tony A. Wood, Chris Manzie, Iman Shames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation.

Matilde Gargiani, Andrea Zanelli, Andrea Martinelli, Tyler H. Summers, John Lygeros

Proceedings of the International Conference on Machine Learning, 2022

Self-Tuning Network Control Architectures.

Tyler H. Summers, Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-driven distributionally robust MPC for systems with uncertain dynamics.

Francesco Micheli, Tyler H. Summers, John Lygeros

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Policy Iteration for Multiplicative Noise Output Feedback Control.

Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems.

Sleiman Safaoui, Lars Lindemann, Iman Shames, Tyler H. Summers

Proceedings of the American Control Conference, 2022

2021

Robust Distributed Planar Formation Control for Higher Order Holonomic and Nonholonomic Agents.

Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans

IEEE Trans. Robotics, 2021

Performance Bounds for Optimal and Robust Feedback Control in Networks.

Karthik Ganapathy, Justin Ruths, Tyler H. Summers

IEEE Trans. Control. Netw. Syst., 2021

Actuator Placement Under Structural Controllability Using Forward and Reverse Greedy Algorithms.

Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour

IEEE Trans. Autom. Control., 2021

Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient.

Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers

IEEE Trans. Autom. Control., 2021

Policy Iteration for Linear Quadratic Games With Stochastic Parameters.

Benjamin Gravell, Karthik Ganapathy, Tyler H. Summers

IEEE Control. Syst. Lett., 2021

Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms.

Benjamin Gravell, Tyler H. Summers

CoRR, 2021

Approximate Midpoint Policy Iteration for Linear Quadratic Control.

Benjamin Gravell, Iman Shames, Tyler H. Summers

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty.

Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Performance bounds for robust estimation using the H∞ filter.

Karthik Ganapathy, Tyler H. Summers

Proceedings of the 2021 European Control Conference, 2021

Stochastic Stability via Robustness of Linear Systems.

Benjamin Gravell, Tyler H. Summers

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Shared Reality: Detecting Stealthy Attacks Against Autonomous Vehicles.

Raul Quinonez, Sleiman Safaoui, Tyler H. Summers, Bhavani Thuraisingham, Alvaro A. Cárdenas

Proceedings of the CPSIoTSec '21: Proceedings of the 2th Workshop on CPS&IoT Security and Privacy, 2021

Robustness of variance suppression in channel flows with imperfect transverse wall oscillations.

Dhanushki Hewawaduge, Tyler H. Summers, Armin Zare

Proceedings of the 2021 American Control Conference, 2021

2020

Corrections to "Rigid Network Design Via Submodular Set Function Optimization".

Iman Shames, Tyler H. Summers

IEEE Trans. Netw. Sci. Eng., 2020

Control Design for Risk-Based Signal Temporal Logic Specifications.

Sleiman Safaoui, Lars Lindemann, Dimos V. Dimarogonas, Iman Shames, Tyler H. Summers

IEEE Control. Syst. Lett., 2020

Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics.

Ahmad F. Taha, Shen Wang, Yi Guo, Tyler H. Summers, Nikolaos Gatsis, Marcio H. Giacomoni, Ahmed A. Abokifa

CoRR, 2020

Trust-based user-interface design for human-automation systems.

Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi

CoRR, 2020

Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints.

Venkatraman Renganathan, Iman Shames, Tyler H. Summers

CoRR, 2020

Robust Learning-Based Control via Bootstrapped Multiplicative Noise.

Benjamin Gravell, Tyler H. Summers

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data.

Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers

Proceedings of the 2020 American Control Conference, 2020

Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks.

Venkatraman Renganathan, Navid Hashemi, Justin Ruths, Tyler H. Summers

Proceedings of the 2020 American Control Conference, 2020

Hierarchical MPC with Coordinating Terminal Costs.

Vignesh Raghuraman, Venkatraman Renganathan, Tyler H. Summers, Justin P. Koeln

Proceedings of the 2020 American Control Conference, 2020

Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback.

Yi Guo, Xinyang Zhou, Changhong Zhao, Yue Chen, Tyler H. Summers, Lijun Chen

Proceedings of the 2020 American Control Conference, 2020

Stochastic Dynamic Programming for Wind Farm Power Maximization.

Yi Guo, Mario A. Rotea, Tyler H. Summers

Proceedings of the 2020 American Control Conference, 2020

2019

Time-Varying Sensor and Actuator Selection for Uncertain Cyber-Physical Systems.

Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Sebastian A. Nugroho

IEEE Trans. Control. Netw. Syst., 2019

Sparse optimal control of networks with multiplicative noise via policy gradient.

Benjamin Gravell, Yi Guo, Tyler H. Summers

CoRR, 2019

Learning robust control for LQR systems with multiplicative noise via policy gradient.

Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers

CoRR, 2019

Algorithms for joint sensor and control nodes selection in dynamic networks.

Sebastian A. Nugroho, Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Ram Krishnan

Autom., 2019

Robust 3D Distributed Formation Control With Collision Avoidance And Application To Multirotor Aerial Vehicles.

Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans

Proceedings of the International Conference on Robotics and Automation, 2019

Robust Optimal Design of Energy Efficient Series Elastic Actuators: Application to a Powered Prosthetic Ankle.

Edgar Bolívar, Siavash Rezazadeh, Tyler H. Summers, Robert D. Gregg

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

Performance guarantees for greedy maximization of non-submodular controllability metrics.

Tyler H. Summers, Maryam Kamgarpour

Proceedings of the 17th European Control Conference, 2019

Robust Linear Quadratic Regulator: Exact Tractable Reformulation.

Wouter Jongeneel, Tyler H. Summers, Peyman Mohajerin Esfahani

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Actuator Placement for Optimizing Network Performance under Controllability Constraints.

Baiwei Guo, Orcun Karaca, Tyler H. Summers, Maryam Kamgarpour

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia.

Yi Guo, Tyler H. Summers

Proceedings of the 2019 American Control Conference, 2019

Distributed Formation Control via Mixed Barycentric Coordinate and Distance-Based Approach.

Kaveh Fathian, Dmitrii I. Rachinskii, Mark W. Spong, Tyler H. Summers, Nicholas R. Gans

Proceedings of the 2019 American Control Conference, 2019

2018

Corrections to "On Submodularity and Controllability in Complex Dynamical Networks".

Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros

IEEE Trans. Control. Netw. Syst., 2018

Mutually Quadratically Invariant Information Structures in Two-Team Stochastic Dynamic Games.

Marcello Colombino, Roy S. Smith, Tyler H. Summers

IEEE Trans. Autom. Control., 2018

Robust Distributed Formation Control of Agents With Higher-Order Dynamics.

Kaveh Fathian, Tyler H. Summers, Nicholas R. Gans

IEEE Control. Syst. Lett., 2018

Robust 3D Distributed Formation Control with Application to Quadrotors.

Kaveh Fathian, Sleiman Safaoui, Tyler H. Summers, Nicholas R. Gans

CoRR, 2018

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies.

Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers

CoRR, 2018

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies.

Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers

CoRR, 2018

Distributionally Robust Sampling-Based Motion Planning Under Uncertainty.

Tyler H. Summers

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks.

Olalekan P. Ogunmolu, Nicholas R. Gans, Tyler H. Summers

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Performance bounds for optimal feedback control in networks.

Tyler H. Summers, Justin Ruths

Proceedings of the 2018 Annual American Control Conference, 2018

Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control.

Sebastian Nugroho, Ahmad F. Taha, Tyler H. Summers, Nikolaos Gatsis

Proceedings of the 2018 Annual American Control Conference, 2018

Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization.

Yi Guo, Kyri Baker, Emiliano Dall'Anese, Zechun Hu, Tyler H. Summers

Proceedings of the 2018 Annual American Control Conference, 2018

2017

The Linear Programming Approach to Reach-Avoid Problems for Markov Decision Processes.

Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros

J. Artif. Intell. Res., 2017

Performance guarantees for greedy maximization of non-submodular set functions in systems and control.

Tyler H. Summers, Maryam Kamgarpour

CoRR, 2017

Robust Zero-Sum Deep Reinforcement Learning.

Olalekan P. Ogunmolu, Nicholas R. Gans, Tyler H. Summers

CoRR, 2017

Information Structure Design in Team Decision Problems.

Tyler H. Summers, Changyuan Li, Maryam Kamgarpour

CoRR, 2017

Spoof resilient coordination for distributed multi-robot systems.

Venkatraman Renganathan, Tyler H. Summers

Proceedings of the 2017 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 2017

Actuator selection for cyber-physical systems.

Ahmad F. Taha, Nikolaos Gatsis, Tyler H. Summers, Sebastian Nugroho

Proceedings of the 2017 American Control Conference, 2017

Distributed formation control under arbitrarily changing topology.

Kaveh Fathian, Dmitrii I. Rachinskii, Tyler H. Summers, Mark W. Spong, Nicholas R. Gans

Proceedings of the 2017 American Control Conference, 2017

2016

On Submodularity and Controllability in Complex Dynamical Networks.

Tyler H. Summers, Fabrizio L. Cortesi, John Lygeros

IEEE Trans. Control. Netw. Syst., 2016

Actuator placement in networks using optimal control performance metrics.

Tyler H. Summers

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed control of cyclic formations with local relative position measurements.

Kaveh Fathian, Dmitrii I. Rachinskii, Tyler H. Summers, Nicholas R. Gans

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Optimal power flow for distribution systems under uncertain forecasts.

Emiliano Dall'Anese, Kyri Baker, Tyler H. Summers

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

User-interface design for MIMO LTI human-automation systems through sensor placement.

Abraham P. Vinod, Tyler H. Summers, Meeko M. K. Oishi

Proceedings of the 2016 American Control Conference, 2016

Convex relaxations and Gramian rank constraints for sensor and actuator selection in networks.

Tyler H. Summers, Iman Shames

Proceedings of the IEEE International Symposium on Intelligent Control, 2016

2015

Rigid Network Design Via Submodular Set Function Optimization.

Iman Shames, Tyler H. Summers

IEEE Trans. Netw. Sci. Eng., 2015

Upper bounds for the reach-avoid probability via robust optimization.

Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros

CoRR, 2015

Topology design for optimal network coherence.

Tyler H. Summers, Iman Shames, John Lygeros, Florian Dörfler

Proceedings of the 14th European Control Conference, 2015

Conditions and strategies for uniqueness of the solutions to cooperative localization and mapping problems using rigidity theory.

Iman Shames, Tyler H. Summers, Farhad Farokhi, Rohan C. Shekhar

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Quadratic two-team games.

Marcello Colombino, Tyler H. Summers, Roy S. Smith

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

A numerical approach to stochastic reach-avoid problems for Markov Decision Processes.

Nikolaos Kariotoglou, Maryam Kamgarpour, Tyler H. Summers, John Lygeros

CoRR, 2014

Stochastic optimal power flow based on convex approximations of chance constraints.

Tyler H. Summers, Joseph Warrington, Manfred Morari, John Lygeros

Proceedings of the 2014 Power Systems Computation Conference, 2014

Network design via modular set function optimization in localization problems.

Iman Shames, Tyler H. Summers

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Submodularity of energy related controllability metrics.

Fabrizio L. Cortesi, Tyler H. Summers, John Lygeros

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Active influence in dynamical models of structural balance in social networks.

Tyler H. Summers, Iman Shames

CoRR, 2013

Optimal Sensor and Actuator Placement in Complex Dynamical Networks.

Tyler H. Summers, John Lygeros

CoRR, 2013

Approximate dynamic programming via sum of squares programming.

Tyler H. Summers, Konstantin Kunz, Nikolaos Kariotoglou, Maryam Kamgarpour, Sean Summers, John Lygeros

Proceedings of the 12th European Control Conference, 2013

Performance bounds for constrained linear min-max control.

Tyler H. Summers, Paul J. Goulart

Proceedings of the 12th European Control Conference, 2013

Fast Model Predictive Control of miniature helicopters.

Konstantin Kunz, Stephan M. Huck, Tyler H. Summers

Proceedings of the 12th European Control Conference, 2013

Approximate dynamic programming for stochastic reachability.

Nikolaos Kariotoglou, Sean Summers, Tyler H. Summers, Maryam Kamgarpour, John Lygeros

Proceedings of the 12th European Control Conference, 2013

Certifying non-existence of undesired locally stable equilibria in formation shape control problems.

Tyler H. Summers, Changbin Yu, Soura Dasgupta, Brian D. O. Anderson

Proceedings of the 2013 IEEE International Symposium on Intelligent Control, 2013

Stabilization of stiff formations with a mix of direction and distance constraints.

Adrian N. Bishop, Tyler H. Summers, Brian D. O. Anderson

Proceedings of the IEEE International Conference on Control Applications, 2013

2012

Computational aspects of distributed optimization in model predictive control.

Christian Conte, Tyler H. Summers, Melanie Nicole Zeilinger, Manfred Morari, Colin N. Jones

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed model predictive consensus via the Alternating Direction Method of Multipliers.

Tyler H. Summers, John Lygeros

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Control of triangle formations with a mix of angle and distance constraints.

Adrian N. Bishop, Tyler H. Summers, Brian D. O. Anderson

Proceedings of the IEEE International Conference on Control Applications, 2012

2011

Control of Minimally Persistent Leader-Remote-Follower and Coleader Formations in the Plane.

Tyler H. Summers, Changbin Yu, Soura Dasgupta, Brian D. O. Anderson

IEEE Trans. Autom. Control., 2011

Controlling rectangular formations.

Soura Dasgupta, Brian D. O. Anderson, Changbin Yu, Tyler H. Summers

Proceedings of the 2011 Australian Control Conference, 2011

2009

Control of minimally persistent leader-remote-follower formations in the plane.

Tyler H. Summers, Changbin Yu, Brian D. O. Anderson, Soura Dasgupta

Proceedings of the 10th European Control Conference, 2009

Control of coleader formations in the plane.

Tyler H. Summers, Changbin Yu, Brian D. O. Anderson, Soura Dasgupta

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Formation shape control: Global asymptotic stability of a four-agent formation.

Tyler H. Summers, Changbin Yu, Brian D. O. Anderson, Soura Dasgupta

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Robustness to agent loss in vehicle formations & sensor networks.

Tyler H. Summers, Changbin Yu, Brian D. O. Anderson

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

A Non-Certainty Equivalence Approach to Decentralized Adaptive Control.

Tyler H. Summers, Maruthi R. Akella

Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007