Hamidreza Modares
Orcid: 0000-0003-0800-5140
According to our database1,
Hamidreza Modares
authored at least 112 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
IEEE Trans. Cybern., February, 2024
IEEE Trans. Autom. Control., January, 2024
IEEE Control. Syst. Lett., 2024
2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
A Risk-Averse Preview-Based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles.
IEEE Trans. Control. Syst. Technol., July, 2023
Deterministic and Stochastic Fixed-Time Stability of Discrete-time Autonomous Systems.
IEEE CAA J. Autom. Sinica, April, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method.
Autom., February, 2023
Reinforcement Learning Applications in Unmanned Vehicle Control: A Comprehensive Overview.
Unmanned Syst., January, 2023
Secure Event-Triggered Distributed Kalman Filters for State Estimation Over Wireless Sensor Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Trans. Mach. Learn. Res., 2023
IEEE Control. Syst. Lett., 2023
IEEE Control. Syst. Lett., 2023
High-Confidence Barrier-Certified Control Design Using Goal-Oriented Scenario Optimization and Experience Replay Model Learning.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
H<sub>∞</sub> Consensus of Homogeneous Vehicular Platooning Systems With Packet Dropout and Communication Delay.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach.
IEEE Trans. Neural Networks Learn. Syst., 2022
Distributed Consensus Control of Vehicular Platooning Under Delay, Packet Dropout and Noise: Relative State and Relative Input-Output Control Strategies.
IEEE Trans. Intell. Transp. Syst., 2022
Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems With Unmodeled Dynamics.
IEEE Trans. Fuzzy Syst., 2022
IEEE Trans. Cybern., 2022
Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.
IEEE Trans. Cybern., 2022
IEEE Trans. Autom. Control., 2022
IEEE Syst. J., 2022
Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022
Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022
IEEE CAA J. Autom. Sinica, 2022
IEEE CAA J. Autom. Sinica, 2022
Compound FAT-Based Learning Control of Uncertain Fractional-Order Nonlinear Systems With Disturbance.
IEEE Control. Syst. Lett., 2022
CoRR, 2022
Data-driven Safe Control of Linear Systems Under Epistemic and Aleatory Uncertainties.
CoRR, 2022
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks.
CoRR, 2022
Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks.
Proceedings of the American Control Conference, 2022
Proceedings of the 58th Annual Allerton Conference on Communication, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Heterogeneous formation control of multiple rotorcrafts with unknown dynamics by reinforcement learning.
Inf. Sci., 2021
IEEE Control. Syst. Lett., 2021
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Learning Dynamics System Models with Prescribed-Performance Guarantees using Experience-Replay.
Proceedings of the 2021 American Control Conference, 2021
2020
IEEE Trans. Smart Grid, 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
Resilient and Robust Synchronization of Multiagent Systems Under Attacks on Sensors and Actuators.
IEEE Trans. Cybern., 2020
Attack Analysis and Resilient Control Design for Discrete-Time Distributed Multi-Agent Systems.
IEEE Robotics Autom. Lett., 2020
A Safety-Certified Policy Iteration Algorithm for Control of Constrained Nonlinear Systems.
IEEE Control. Syst. Lett., 2020
A Satisficing Control Design Framework with Safety and Performance Guarantees for Constrained Systems under Disturbances.
CoRR, 2020
Adaptive Finite-time Disturbance Rejection for Nonlinear Systems using an Experience-Replay based Disturbance Observer.
CoRR, 2020
Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach.
CoRR, 2020
CoRR, 2020
Autom., 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
Data-Driven Solutions to Mixed $H_{2}/H_{\infty}$ Control: A Hamilton-Inequality-Driven Reinforcement Learning Approach.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
An Experience Replay Based Adaptive Disturbance Observer for a Class of Nonlinear Systems.
Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020
2019
Resilient Autonomous Control of Distributed Multiagent Systems in Contested Environments.
IEEE Trans. Cybern., 2019
IEEE Trans. Control. Syst. Technol., 2019
Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics.
IEEE Trans. Autom. Control., 2019
H ∞ consensus control of discrete-time multi-agent systems under network imperfections and external disturbance.
IEEE CAA J. Autom. Sinica, 2019
Distributed Consensus Control for a Network of Incommensurate Fractional-Order Systems.
IEEE Control. Syst. Lett., 2019
Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults.
Autom., 2019
IEEE Access, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Heterogeneous Formation Control of Multiple Rotorcrafts with Unknown Dynamics using Reinforcement Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Leader-Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Autom. Control., 2018
Resilient Output Synchronization of Heterogeneous Multi-agent Systems under Cyber-Physical Attacks.
CoRR, 2018
Observer-based Adaptive Optimal Output Containment Control problem of Linear Heterogeneous Multi-agent Systems with Relative Output Measurements.
CoRR, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Fast Seeking of Nash Equilibria without Steady-State Oscillation in Games with Non-Quadratic Payoffs.
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
Attack Analysis for Distributed Control Systems: An Internal Model Principle Approach.
CoRR, 2017
Resilient Autonomous Control of Distributed Multi-agent Systems in Contested Environments,
CoRR, 2017
Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Distributed control of leader-follower systems under adversarial inputs using reinforcement learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
Data-Based Multiobjective Plant-Wide Performance Optimization of Industrial Processes Under Dynamic Environments.
IEEE Trans. Ind. Informatics, 2016
IEEE Trans. Cybern., 2016
Optimal Output-Feedback Control of Unknown Continuous-Time Linear Systems Using Off-policy Reinforcement Learning.
IEEE Trans. Cybern., 2016
Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning.
Autom., 2016
Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control.
Autom., 2016
Distributed L<sub>2</sub>-gain output-feedback control of homogeneous and heterogeneous systems.
Autom., 2016
Optimal output synchronization of nonlinear multi-agent systems using approximate dynamic programming.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
H<sub>∞</sub> Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015
Continuous-Time Q-Learning for Infinite-Horizon Discounted Cost Linear Quadratic Regulator Problems.
IEEE Trans. Cybern., 2015
Adaptive Suboptimal Output-Feedback Control for Linear Systems Using Integral Reinforcement Learning.
IEEE Trans. Control. Syst. Technol., 2015
H∞ optimal control of unknown linear discrete-time systems: An off-policy reinforcement learning approach.
Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015
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
Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning.
IEEE Trans. Autom. Control., 2014
Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems.
Autom., 2014
Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning.
Autom., 2014
Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics.
Autom., 2014
2013
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2013
Online solution to the linear quadratic tracking problem of continuous-time systems using reinforcement learning.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Knowl. Inf. Syst., 2012
2011
Eng. Appl. Artif. Intell., 2011
2010
Parameter identification of chaotic dynamic systems through an improved particle swarm optimization.
Expert Syst. Appl., 2010
Parameter estimation of bilinear systems based on an adaptive particle swarm optimization.
Eng. Appl. Artif. Intell., 2010
Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010