A Non-Certainty Equivalence Approach to Decentralized Adaptive Control. - Tyler H. Summers; Maruthi R. Akella (SoSE, 2007)

Robustness to agent loss in vehicle formations & sensor networks. - Tyler H. Summers; Changbin Yu; Brian D. O. Anderson (CDC, 2008)

Formation shape control: Global asymptotic stability of a four-agent formation. - Tyler H. Summers; Changbin Yu; Brian D. O. Anderson; Soura Dasgupta (CDC, 2009)

Control of coleader formations in the plane. - Tyler H. Summers; Changbin Yu; Brian D. O. Anderson; Soura Dasgupta (CDC, 2009)

Control of minimally persistent leader-remote-follower formations in the plane. - Tyler H. Summers; Changbin Yu; Brian D. O. Anderson; Soura Dasgupta (ECC, 2009)

Controlling rectangular formations. - Soura Dasgupta; Brian D. O. Anderson; Changbin Yu; Tyler H. Summers (AuCC, 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)

Control of triangle formations with a mix of angle and distance constraints. - Adrian N. Bishop; Tyler H. Summers; Brian D. O. Anderson (CCA, 2012)

Distributed model predictive consensus via the Alternating Direction Method of Multipliers. - Tyler H. Summers; John Lygeros (Allerton Conference, 2012)

Computational aspects of distributed optimization in model predictive control. - Christian Conte; Tyler H. Summers; Melanie Nicole Zeilinger; Manfred Morari; Colin N. Jones (CDC, 2012)

Stabilization of stiff formations with a mix of direction and distance constraints. - Adrian N. Bishop; Tyler H. Summers; Brian D. O. Anderson (CCA, 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 (ISIC, 2013)

Approximate dynamic programming for stochastic reachability. - Nikolaos Kariotoglou; Sean Summers; Tyler H. Summers; Maryam Kamgarpour; John Lygeros (ECC, 2013)

Fast Model Predictive Control of miniature helicopters. - Konstantin Kunz; Stephan M. Huck; Tyler H. Summers (ECC, 2013)

Performance bounds for constrained linear min-max control. - Tyler H. Summers; Paul J. Goulart (ECC, 2013)

Approximate dynamic programming via sum of squares programming. - Tyler H. Summers; Konstantin Kunz; Nikolaos Kariotoglou; Maryam Kamgarpour; Sean Summers; John Lygeros (ECC, 2013)

Optimal Sensor and Actuator Placement in Complex Dynamical Networks. - Tyler H. Summers; John Lygeros (CoRR, 2013)

Active influence in dynamical models of structural balance in social networks. - Tyler H. Summers; Iman Shames (CoRR, 2013)

Submodularity of energy related controllability metrics. - Fabrizio L. Cortesi; Tyler H. Summers; John Lygeros (CDC, 2014)

Network design via modular set function optimization in localization problems. - Iman Shames; Tyler H. Summers (SAM, 2014)

Stochastic optimal power flow based on convex approximations of chance constraints. - Tyler H. Summers; Joseph Warrington; Manfred Morari; John Lygeros (PSCC, 2014)

A numerical approach to stochastic reach-avoid problems for Markov Decision Processes. - Nikolaos Kariotoglou; Maryam Kamgarpour; Tyler H. Summers; John Lygeros (CoRR, 2014)

Quadratic two-team games. - Marcello Colombino; Tyler H. Summers; Roy S. Smith (CDC, 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 (CDC, 2015)

Topology design for optimal network coherence. - Tyler H. Summers; Iman Shames; John Lygeros; Florian Dörfler (ECC, 2015)

Upper bounds for the reach-avoid probability via robust optimization. - Nikolaos Kariotoglou; Maryam Kamgarpour; Tyler H. Summers; John Lygeros (CoRR, 2015)

Rigid Network Design Via Submodular Set Function Optimization. - Iman Shames; Tyler H. Summers (IEEE Trans. Netw. Sci. Eng., 2015)

Convex relaxations and Gramian rank constraints for sensor and actuator selection in networks. - Tyler H. Summers; Iman Shames (ISIC, 2016)

User-interface design for MIMO LTI human-automation systems through sensor placement. - Abraham P. Vinod; Tyler H. Summers; Meeko M. K. Oishi (ACC, 2016)

Optimal power flow for distribution systems under uncertain forecasts. - Emiliano Dall'Anese; Kyri Baker; Tyler H. Summers (CDC, 2016)

Distributed control of cyclic formations with local relative position measurements. - Kaveh Fathian; Dmitrii I. Rachinskii; Tyler H. Summers; Nicholas R. Gans (CDC, 2016)

Actuator placement in networks using optimal control performance metrics. - Tyler H. Summers (CDC, 2016)

On Submodularity and Controllability in Complex Dynamical Networks. - Tyler H. Summers; Fabrizio L. Cortesi; John Lygeros (IEEE Trans. Control. Netw. Syst., 2016)

Distributed formation control under arbitrarily changing topology. - Kaveh Fathian; Dmitrii I. Rachinskii; Tyler H. Summers; Mark W. Spong; Nicholas R. Gans (ACC, 2017)

Actuator selection for cyber-physical systems. - Ahmad F. Taha; Nikolaos Gatsis; Tyler H. Summers; Sebastian Nugroho (ACC, 2017)

Spoof resilient coordination for distributed multi-robot systems. - Venkatraman Renganathan; Tyler H. Summers (MRS, 2017)

Information Structure Design in Team Decision Problems. - Tyler H. Summers; Changyuan Li; Maryam Kamgarpour (CoRR, 2017)

Robust Zero-Sum Deep Reinforcement Learning. - Olalekan P. Ogunmolu; Nicholas R. Gans; Tyler H. Summers (CoRR, 2017)

Performance guarantees for greedy maximization of non-submodular set functions in systems and control. - Tyler H. Summers; Maryam Kamgarpour (CoRR, 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)

Stochastic Optimal Power Flow Based on Data-Driven Distributionally Robust Optimization. - Yi Guo 006; Kyri Baker; Emiliano Dall'Anese; Zechun Hu; Tyler H. Summers (ACC, 2018)

Simultaneous Sensor and Actuator Selection/Placement through Output Feedback Control. - Sebastian Nugroho; Ahmad F. Taha; Tyler H. Summers; Nikolaos Gatsis (ACC, 2018)

Performance bounds for optimal feedback control in networks. - Tyler H. Summers; Justin Ruths (ACC, 2018)

Minimax Iterative Dynamic Game: Application to Nonlinear Robot Control Tasks. - Olalekan P. Ogunmolu; Nicholas R. Gans; Tyler H. Summers (IROS, 2018)

Distributionally Robust Sampling-Based Motion Planning Under Uncertainty. - Tyler H. Summers (IROS, 2018)

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies. - Yi Guo 006; Kyri Baker; Emiliano Dall'Anese; Zechun Hu; Tyler H. Summers (CoRR, 2018)

Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies. - Yi Guo 006; Kyri Baker; Emiliano Dall'Anese; Zechun Hu; Tyler H. Summers (CoRR, 2018)

Robust 3D Distributed Formation Control with Application to Quadrotors. - Kaveh Fathian; Sleiman Safaoui; Tyler H. Summers; Nicholas R. Gans (CoRR, 2018)

Robust Distributed Formation Control of Agents With Higher-Order Dynamics. - Kaveh Fathian; Tyler H. Summers; Nicholas R. Gans (IEEE Control. Syst. Lett., 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)

Corrections to "On Submodularity and Controllability in Complex Dynamical Networks". - Tyler H. Summers; Fabrizio L. Cortesi; John Lygeros (IEEE Trans. Control. Netw. Syst., 2018)

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 (ACC, 2019)

A Performance and Stability Analysis of Low-inertia Power Grids with Stochastic System Inertia. - Yi Guo 006; Tyler H. Summers (ACC, 2019)

Actuator Placement for Optimizing Network Performance under Controllability Constraints. - Baiwei Guo; Orcun Karaca; Tyler H. Summers; Maryam Kamgarpour (CDC, 2019)

Robust Linear Quadratic Regulator: Exact Tractable Reformulation. - Wouter Jongeneel; Tyler H. Summers; Peyman Mohajerin Esfahani (CDC, 2019)

Performance guarantees for greedy maximization of non-submodular controllability metrics. - Tyler H. Summers; Maryam Kamgarpour (ECC, 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 (ICORR, 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 (ICRA, 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)

Learning robust control for LQR systems with multiplicative noise via policy gradient. - Benjamin Gravell; Peyman Mohajerin Esfahani; Tyler H. Summers (CoRR, 2019)

Sparse optimal control of networks with multiplicative noise via policy gradient. - Benjamin Gravell; Yi Guo 006; Tyler H. Summers (CoRR, 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)

Stochastic Dynamic Programming for Wind Farm Power Maximization. - Yi Guo 006; Mario A. Rotea; Tyler H. Summers (ACC, 2020)

Solving Optimal Power Flow for Distribution Networks with State Estimation Feedback. - Yi Guo 006; Xinyang Zhou; Changhong Zhao; Yue Chen; Tyler H. Summers; Lijun Chen 001 (ACC, 2020)

Hierarchical MPC with Coordinating Terminal Costs. - Vignesh Raghuraman; Venkatraman Renganathan; Tyler H. Summers; Justin P. Koeln (ACC, 2020)

Distributionally Robust Tuning of Anomaly Detectors in Cyber-Physical Systems with Stealthy Attacks. - Venkatraman Renganathan; Navid Hashemi; Justin Ruths; Tyler H. Summers (ACC, 2020)

Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data. - Yu Xing; Benjamin Gravell; Xingkang He; Karl Henrik Johansson; Tyler H. Summers (ACC, 2020)

Robust Learning-Based Control via Bootstrapped Multiplicative Noise. - Benjamin Gravell; Tyler H. Summers (L4DC, 2020)

Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. - Venkatraman Renganathan; Iman Shames; Tyler H. Summers (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)

Revisiting the Water Quality Sensor Placement Problem: Optimizing Network Observability and State Estimation Metrics. - Ahmad F. Taha; Shen Wang 001; Yi Guo 006; Tyler H. Summers; Nikolaos Gatsis; Marcio H. Giacomoni; Ahmed A. Abokifa (CoRR, 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)

Corrections to "Rigid Network Design Via Submodular Set Function Optimization". - Iman Shames; Tyler H. Summers (IEEE Trans. Netw. Sci. Eng., 2020)

Robustness of variance suppression in channel flows with imperfect transverse wall oscillations. - Dhanushki Hewawaduge; Tyler H. Summers; Armin Zare (ACC, 2021)

Shared Reality: Detecting Stealthy Attacks Against Autonomous Vehicles. - Raul Quinonez; Sleiman Safaoui; Tyler H. Summers; Bhavani Thuraisingham; Alvaro A. Cárdenas (CPSIOTSEC@CCS, 2021)

Stochastic Stability via Robustness of Linear Systems. - Benjamin Gravell; Tyler H. Summers (CDC, 2021)

Performance bounds for robust estimation using the H∞ filter. - Karthik Ganapathy; Tyler H. Summers (ECC, 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 (IROS, 2021)

Approximate Midpoint Policy Iteration for Linear Quadratic Control. - Benjamin Gravell; Iman Shames; Tyler H. Summers (L4DC, 2021)

Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms. - Benjamin Gravell; Tyler H. Summers (CoRR, 2021)

Policy Iteration for Linear Quadratic Games With Stochastic Parameters. - Benjamin Gravell; Karthik Ganapathy; Tyler H. Summers (IEEE Control. Syst. Lett., 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)

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)

Performance Bounds for Optimal and Robust Feedback Control in Networks. - Karthik Ganapathy; Justin Ruths; Tyler H. Summers (IEEE Trans. Control. Netw. Syst., 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)

Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems. - Sleiman Safaoui; Lars Lindemann; Iman Shames; Tyler H. Summers (ACC, 2022)

Policy Iteration for Multiplicative Noise Output Feedback Control. - Benjamin Gravell; Matilde Gargiani; John Lygeros; Tyler H. Summers (CDC, 2022)

Data-driven distributionally robust MPC for systems with uncertain dynamics. - Francesco Micheli; Tyler H. Summers; John Lygeros (CDC, 2022)

Self-Tuning Network Control Architectures. - Tyler H. Summers; Karthik Ganapathy; Iman Shames; Mathias Hudoba de Badyn (CDC, 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 (ICML, 2022)

Probabilistic Data Association for Semantic SLAM at Scale. - Elad Michael; Tyler H. Summers; Tony A. Wood; Chris Manzie; Iman Shames (IROS, 2022)

Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. - Benjamin Gravell; Iman Shames; Tyler H. Summers (L4DC, 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)

Online Joint Optimal Control-Estimation Architecture in Distribution Networks. - Yi Guo 006; Xinyang Zhou; Changhong Zhao; Lijun Chen 001; Gabriela Hug; Tyler H. Summers (CoRR, 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)

Anomaly Detection Under Multiplicative Noise Model Uncertainty. - Venkatraman Renganathan; Benjamin J. Gravell; Justin Ruths; Tyler H. Summers (IEEE Control. Syst. Lett., 2022)

Higher-Order Moment-Based Anomaly Detection. - Venkatraman Renganathan; Navid Hashemi; Justin Ruths; Tyler H. Summers (IEEE Control. Syst. Lett., 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)

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)

Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking. - Yitian Chen; Timothy L. Molloy; Tyler H. Summers; Iman Shames (L4DC, 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: Extended Version. - Yitian Chen; Timothy L. Molloy; Tyler H. Summers; Iman Shames (CoRR, 2023)

Optimal Pump Control for Water Distribution Networks via Data-Based Distributional Robustness. - Yi Guo 006; Shen Wang 001; Ahmad F. Taha; Tyler H. Summers (IEEE Trans. Control. Syst. Technol., 2023)

Optimal Power Flow With State Estimation in the Loop for Distribution Networks. - Yi Guo 006; Xinyang Zhou; Changhong Zhao; Lijun Chen 001; Tyler H. Summers (IEEE Syst. J., 2023)

An Online Joint Optimization-Estimation Architecture for Distribution Networks. - Yi Guo 006; Xinyang Zhou; Changhong Zhao; Lijun Chen 001; Gabriela Hug; Tyler H. Summers (IEEE Trans. Control. Syst. Technol., 2023)

A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games. - Yuxiang Guan; Giulio Salizzoni; Maryam Kamgarpour; Tyler H. Summers (CDC, 2024)

Distributionally Robust CVaR-Based Safety Filtering for Motion Planning in Uncertain Environments. - Sleiman Safaoui; Tyler H. Summers (ICRA, 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)

cvxRiskOpt: A Risk-Based Optimization Tool Based on CVXPY. - Sleiman Safaoui; Tyler H. Summers (IEEE Control. Syst. Lett., 2024)

CLIPPER+: A Fast Maximal Clique Algorithm for Robust Global Registration. - Kaveh Fathian; Tyler H. Summers (IEEE Robotics Autom. Lett., 2024)

Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach. - Yi Guo 006; Ognjen Stanojev; Gabriela Hug; Tyler H. Summers (IEEE Trans. Control. Syst. Technol., 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., 2024)

Best Response Convergence for Zero-sum Stochastic Dynamic Games with Partial and Asymmetric Information. - Yuxiang Guan; Iman Shames; Tyler H. Summers (CoRR, 2025)