Coordination in Noncooperative Multiplayer Matrix Games via Reduced Rank Correlated Equilibria.
IEEE Control. Syst. Lett., 2024
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games.
CoRR, 2024
A Coupled Optimization Framework for Correlated Equilibria in Normal-Form Game.
CoRR, 2024
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach.
CoRR, 2024
Sensing Resource Allocation Against Data-Poisoning Attacks in Traffic Routing.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
A Coupled Optimization Framework for Correlated Equilibria in Normal-Form Games.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Constraint Preconditioning and Parameter Selection for a First-Order Primal-Dual Method applied to Model Predictive Control.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
Alpha-Fair Routing in Urban Air Mobility with Risk-Aware Constraints.
Proceedings of the American Control Conference, 2024
Vertiport Selection in Hybrid Air-Ground Transportation Networks via Mathematical Programs With Equilibrium Constraints.
IEEE Trans. Control. Netw. Syst., December, 2023
Inverse Matrix Games With Unique Quantal Response Equilibrium.
IEEE Control. Syst. Lett., 2023
Extrapolated Proportional-Integral Projected Gradient Method for Conic Optimization.
IEEE Control. Syst. Lett., 2023
Learning Hyperplanes for Multi-Agent Collision Avoidance in Space.
CoRR, 2023
Active Inverse Learning in Stackelberg Trajectory Games.
CoRR, 2023
Dynamic Routing in Stochastic Urban Air Mobility Networks: A Markov Decision Process Approach.
CoRR, 2023
Adaptive constraint satisfaction for Markov decision process congestion games: Application to transportation networks.
Autom., 2023
Soft-Bellman Equilibrium in Affine Markov Games: Forward Solutions and Inverse Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Cost Design in Atomic Routing Games.
Proceedings of the American Control Conference, 2023
Poisoning Attacks Against Data-Driven Predictive Control.
Proceedings of the American Control Conference, 2023
Real-Time Quadrotor Trajectory Optimization with Time-Triggered Corridor Constraints.
CoRR, 2022
Inverse Matrix Games with Unique Nash Equilibrium.
CoRR, 2022
Relationship Design for Socially Desirable Behavior in Static Games.
CoRR, 2022
Proportional-integral projected gradient method for conic optimization.
Autom., 2022
Variable demand and multi-commodity flow in Markovian network equilibrium.
Autom., 2022
Proportional-Integral Projected Gradient Method for Model Predictive Control.
IEEE Control. Syst. Lett., 2021
Proportional-Integral Projected Gradient Method for Infeasibility Detection in Conic Optimization.
CoRR, 2021
Advances in trajectory optimization for space vehicle control.
Annu. Rev. Control., 2021
On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
RLC Circuits-Based Distributed Mirror Descent Method.
IEEE Control. Syst. Lett., 2020
Mass-spring-damper networks for distributed optimization in non-Euclidean spaces.
Autom., 2020
Controlled Markov Processes With Safety State Constraints.
IEEE Trans. Autom. Control., 2019
Online Constraint Satisfaction via Tolls in MDP Congestion Games.
CoRR, 2019
Stochastic Bregman Parallel Direction Method of Multipliers for Distributed Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games.
Proceedings of the 2019 American Control Conference, 2019
Bregman Parallel Direction Method of Multipliers for Distributed Optimization via Mirror Averaging.
IEEE Control. Syst. Lett., 2018
Decision-Making Policies for Heterogeneous Autonomous Multi-Agent Systems with Safety Constraints.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Convex synthesis of randomized policies for controlled Markov chains with density safety upper bound constraints.
Proceedings of the 2016 American Control Conference, 2016