Kyriakos G. Vamvoudakis
Orcid: 0000-0003-1978-4848
According to our database1,
Kyriakos G. Vamvoudakis
authored at least 142 papers
between 2009 and 2024.
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Bibliography
2024
Guest Editorial Special Issue on Learning From Imperfect Data for Industrial Automation.
IEEE Trans Autom. Sci. Eng., April, 2024
IEEE Trans. Autom. Control., April, 2024
Safety-Aware Pursuit-Evasion Games in Unknown Environments Using Gaussian Processes and Finite-Time Convergent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
IEEE Trans. Cybern., February, 2024
Adaptive Neural Network Stochastic-Filter-Based Controller for Attitude Tracking With Disturbance Rejection.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
UWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation.
IEEE Trans. Intell. Transp. Syst., January, 2024
IEEE Trans. Autom. Control., January, 2024
Learning-based actuator selection for increased attack resilience of uncertain systems.
Autom., January, 2024
A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management.
CoRR, 2024
2023
Recursive Reasoning With Reduced Complexity and Intermittency for Nonequilibrium Learning in Stochastic Games.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
IEEE Trans. Autom. Control., November, 2023
Adaptive optimal control of continuous-time nonlinear affine systems via hybrid iteration.
Autom., November, 2023
IEEE Trans. Neural Networks Learn. Syst., June, 2023
IEEE Trans. Autom. Control., June, 2023
Bounded rational Dubins vehicle coordination for target tracking using reinforcement learning.
Autom., March, 2023
CoRR, 2023
Scalable Online Learning of Approximate Stackelberg Solutions in Energy Trading Games with Demand Response Aggregators.
CoRR, 2023
Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Nonlinear Deterministic Observer for Inertial Navigation Using Ultra-Wideband and IMU Sensor Fusion.
IROS, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Game-Theoretic Deception Methods for Perfectly and Bounded Rational Stealthy Attackers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
A Physics-Informed Neural Networks Framework to Solve the Infinite-Horizon Optimal Control Problem.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Adaptive Optimal Output Regulation of Discrete-Time Linear Systems: A Reinforcement Learning Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Timing-Aware Resilience of Data-driven Off-policy Reinforcement Learning for Discrete-Time Systems.
Proceedings of the American Control Conference, 2023
Game Theory for Autonomy: From Min-Max Optimization to Equilibrium and Bounded Rationality Learning.
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the American Control Conference, 2023
2022
IEEE Trans. Cybern., 2022
IEEE Trans. Autom. Control., 2022
Annu. Rev. Control., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
A Graph-Theoretic Security Index Based on Undetectability for Cyber-Physical Systems.
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
Online Learning-based Optimal Control of Nonlinear Systems with Finite-Time Convergence Guarantees.
Proceedings of the American Control Conference, 2022
Proceedings of the American Control Conference, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Guest Editorial Introduction to the Special Issue on Unmanned Aircraft System Traffic Management.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Ind. Informatics, 2021
A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks.
IEEE Trans. Cybern., 2021
Detection of actuator faults for continuous-time systems with intermittent state feedback.
Syst. Control. Lett., 2021
A Framework for Testing and Evaluation of Operational Performance of Multi-UAV Systems.
Proceedings of the Intelligent Systems and Applications, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Bounded Rational RRT-QX: Multi-Agent Motion Planning in Dynamic Human-Like Environments Using Cognitive Hierarchy and Q-Learning.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Experimental Design and Control of a Smart Morphing Wing System using a Q-learning Framework.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
A Human-Integrated Tool for Proactive and Reactive Security in Cyber-Physical Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Model-Free Perception-Based Control via Q-Learning with an Application to Heat-Seeking Missile Guidance.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Recursive Reasoning for Bounded Rationality in Multi-Agent Non-Equilibrium Play Learning Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
Online Adaptive Learning in Energy Trading Stackelberg Games with Time-Coupling Constraints.
Proceedings of the 2021 American Control Conference, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph.
IEEE Trans. Cybern., 2020
IEEE Trans. Aerosp. Electron. Syst., 2020
IEEE Trans. Autom. Control., 2020
Found. Trends Syst. Control., 2020
Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control.
IEEE Control. Syst. Lett., 2020
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks.
CoRR, 2020
Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions.
CoRR, 2020
Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
A Meta-Learning and Bounded Rationality Framework for Repeated Games in Adversarial Environments.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Continuous-Time Safe Learning with Temporal Logic Constraints in Adversarial Environments.
Proceedings of the 2020 American Control Conference, 2020
Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning.
Proceedings of the 2020 American Control Conference, 2020
Bounded Rational Unmanned Aerial Vehicle Coordination for Adversarial Target Tracking.
Proceedings of the 2020 American Control Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Kinodynamic Motion Planning With Continuous-Time Q-Learning: An Online, Model-Free, and Safe Navigation Framework.
IEEE Trans. Neural Networks Learn. Syst., 2019
Non-equilibrium dynamic games and cyber-physical security: A cognitive hierarchy approach.
Syst. Control. Lett., 2019
Syst. Control. Lett., 2019
Frontiers Robotics AI, 2019
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
An Adaptive, Humanlike Robot Hand with Selective Interdigitation: Towards Robust Grasping and Dexterous, In-Hand Manipulation.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
A Predictive Deep Learning Approach to Output Regulation: The Case of Collaborative Pursuit Evasion.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 2019 American Control Conference, 2019
An Intermittent Learning Algorithm for High-Speed Autonomous Driving in Unknown Environments.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Cooperative Q-Learning for Rejection of Persistent Adversarial Inputs in Networked Linear Quadratic Systems.
IEEE Trans. Autom. Control., 2018
Game-Theory-Based Consensus Learning of Double-Integrator Agents in the Presence of Worst-Case Adversaries.
J. Optim. Theory Appl., 2018
Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance.
Autom., 2018
A multi-step and resilient predictive Q-learning algorithm for IoT: a case study in water supply networks.
Proceedings of the 8th International Conference on the Internet of Things, 2018
Proceedings of the 8th International Conference on the Internet of Things, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Enforcing Signal Temporal Logic Specifications in Multi-Agent Adversarial Environments: A Deep Q-Learning Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Adaptive Control for Mitigating Sensor and Actuator Attacks in Connected Autonomous Vehicle Platoons.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Online Optimal Operation of Parallel Voltage-Source Inverters Using Partial Information.
IEEE Trans. Ind. Electron., 2017
Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach.
Syst. Control. Lett., 2017
Active-Bayesian learning for cooperation connectivity in dynamic cyber-physical-human systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Distributed optimal synchronization control of linear networked systems under unknown dynamics.
Proceedings of the 2017 American Control Conference, 2017
A neuro-adaptive architecture for extremum seeking control using hybrid learning dynamics.
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Asymptotically Stable Adaptive-Optimal Control Algorithm With Saturating Actuators and Relaxed Persistence of Excitation.
IEEE Trans. Neural Networks Learn. Syst., 2016
Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control.
Autom., 2016
Game-theoretic tracking control for actuator attack attenuation in cyber-physical systems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Event-triggered H-infinity control for unknown continuous-time linear systems using Q-learning.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Online optimal auto-tuning of PID controllers for tracking in a special class of linear systems.
Proceedings of the 2016 American Control Conference, 2016
2015
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015
Terrorist Threats, Agile Vehicle Trajectory Deviation and Critical Reposition in Interaction with Environment.
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015
Proceedings of the Advanced Autonomous Vehicle Design for Severe Environments, 2015
Proceedings of the Encyclopedia of Systems and Control, 2015
Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems.
Autom., 2015
Model-free plug-n-play optimization techniques to design autonomous and resilient complex systems.
Proceedings of the American Control Conference, 2015
Proceedings of the American Control Conference, 2015
Disturbance rejection of multi-agent systems: A reinforcement learning differential game approach.
Proceedings of the American Control Conference, 2015
2014
Autom., 2014
Proceedings of the American Control Conference, 2014
An online actor/critic algorithm for event-triggered optimal control of continuous-time nonlinear systems.
Proceedings of the American Control Conference, 2014
2013
A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems.
Autom., 2013
Proceedings of the Control of Cyber-Physical Systems, 2013
Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution.
Proceedings of the American Control Conference, 2013
2012
Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality.
Autom., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012
2011
Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data.
IEEE Trans. Syst. Man Cybern. Part B, 2011
Multi-player non-zero-sum games: Online adaptive learning solution of coupled Hamilton-Jacobi equations.
Autom., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Online adaptive learning of optimal control solutions using integral reinforcement learning.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Non-zero sum games: Online learning solution of coupled Hamilton-Jacobi and coupled Riccati equations.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011
2010
Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem.
Autom., 2010
Optimal adaptive control for unknown systems using output feedback by reinforcement learning methods.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010
Online solution of nonlinear two-player zero-sum games using synchronous policy iteration.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009