Hamidreza Modares

IEEE Trans. Intell. Transp. Syst., 2022

Robust Actor-Critic Learning for Continuous-Time Nonlinear Systems With Unmodeled Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors.

[BibT_eX]

[DOI]

Wei He

Cheng-Zhong Xu

IEEE Trans. Cybern., 2022

Event-Driven Off-Policy Reinforcement Learning for Control of Interconnected Systems.

[BibT_eX]

[DOI]

Vignesh Narayanan

Sarangapani Jagannathan

Seyed Mehdi Abedi Pahnehkolaei

IEEE Trans. Cybern., 2022

Fully Heterogeneous Containment Control of a Network of Leader-Follower Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2022

Robust Inverse Optimal Cooperative Control for Uncertain Linear Multiagent Systems.

[BibT_eX]

[DOI]

IEEE Syst. J., 2022

Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Finite-Time Distributed Identification for Nonlinear Interconnected Systems.

[BibT_eX]

[DOI]

Farzaneh Tatari

Christos G. Panayiotou

Marios M. Polycarpou

IEEE CAA J. Autom. Sinica, 2022

Conflict-Aware Safe Reinforcement Learning: A Meta-Cognitive Learning Framework.

[BibT_eX]

[DOI]

Subramanya Nageshrao

Seyed Mehdi Abedi Pahnehkolaei

IEEE CAA J. Autom. Sinica, 2022

Compound FAT-Based Learning Control of Uncertain Fractional-Order Nonlinear Systems With Disturbance.

[BibT_eX]

[DOI]

Javad Keighobadi

IEEE Control. Syst. Lett., 2022

Data-driven Robust LQR with Multiplicative Noise via System Level Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

Fixed-time Stability of Discrete-time Autonomous Systems.

[BibT_eX]

[DOI]

Farzaneh Tatari

CoRR, 2022

Data-driven Safe Control of Linear Systems Under Epistemic and Aleatory Uncertainties.

[BibT_eX]

[DOI]

CoRR, 2022

Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks.

[BibT_eX]

[DOI]

Christos G. Panayiotou

Marios M. Polycarpou

CoRR, 2022

Data Driven Safe Gain-Scheduling Control.

[BibT_eX]

[DOI]

Amir Modares

Nasser Sadati

CoRR, 2022

Performance Analysis of Event-Triggered Consensus Control for Multi-agent Systems under Cyber-Physical Attacks.

[BibT_eX]

[DOI]

Christos G. Panayiotou

Marios M. Polycarpou

Proceedings of the American Control Conference, 2022

Risk-Aware Safe Optimal Control of Uncertain Linear Systems.

[BibT_eX]

[DOI]

Pouria Tooranjipour

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

Hamiltonian-Driven Hybrid Adaptive Dynamic Programming.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Heterogeneous formation control of multiple rotorcrafts with unknown dynamics by reinforcement learning.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Memory-Augmented System Identification With Finite-Time Convergence.

[BibT_eX]

[DOI]

Amin Vahidi-Moghaddam

IEEE Control. Syst. Lett., 2021

A Convex Programming Approach to Data-Driven Risk-Averse Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Assured Learning-enabled Autonomy: A Metacognitive Reinforcement Learning Framework.

[BibT_eX]

[DOI]

CoRR, 2021

A One-shot Convex Optimization Approach to Risk-Averse Q-Learning.

[BibT_eX]

[DOI]

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

Learning Dynamics System Models with Prescribed-Performance Guarantees using Experience-Replay.

[BibT_eX]

[DOI]

Amin Vahidi-Moghaddam

Proceedings of the 2021 American Control Conference, 2021

2020

Detection and Mitigation of Data Manipulation Attacks in AC Microgrids.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Resilient and Robust Synchronization of Multiagent Systems Under Attacks on Sensors and Actuators.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Attack Analysis and Resilient Control Design for Discrete-Time Distributed Multi-Agent Systems.

[BibT_eX]

[DOI]

Reihaneh Kardehi Moghaddam

IEEE Robotics Autom. Lett., 2020

A Safety-Certified Policy Iteration Algorithm for Control of Constrained Nonlinear Systems.

[BibT_eX]

[DOI]

Navid Moshtaghi Yazdani

IEEE Control. Syst. Lett., 2020

A Satisficing Control Design Framework with Safety and Performance Guarantees for Constrained Systems under Disturbances.

[BibT_eX]

[DOI]

Yuzhen Han

CoRR, 2020

Adaptive Finite-time Disturbance Rejection for Nonlinear Systems using an Experience-Replay based Disturbance Observer.

[BibT_eX]

[DOI]

Zhitao Li

Amin Vahidi-Moghaddam

Jinsheng Sun

CoRR, 2020

Data-driven Dynamic Multi-objective Optimal Control: An Aspiration-satisfying Reinforcement Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Fully-HeterogeneousContainment Control of a Network of Leader-Follower Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Resilient synchronization of distributed multi-agent systems under attacks.

[BibT_eX]

[DOI]

Autom., 2020

Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates.

[BibT_eX]

[DOI]

Cheng-Zhong Xu

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Zhitao Li

Jinsheng Sun

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Resilient Cooperative Control of DC Microgrids.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2019

Resilient Autonomous Control of Distributed Multiagent Systems in Contested Environments.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2019

Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

Optimal control using adaptive resonance theory and Q-learning.

[BibT_eX]

[DOI]

Neurocomputing, 2019

H ∞ consensus control of discrete-time multi-agent systems under network imperfections and external disturbance.

[BibT_eX]

[DOI]

Arezou Elahi

IEEE CAA J. Autom. Sinica, 2019

Distributed Consensus Control for a Network of Incommensurate Fractional-Order Systems.

[BibT_eX]

[DOI]

Milad Shahvali

IEEE Control. Syst. Lett., 2019

Secure Event-Triggered Distributed Kalman Filters for State Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Resilient adaptive and H∞ controls of multi-agent systems under sensor and actuator faults.

[BibT_eX]

[DOI]

Autom., 2019

Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games.

[BibT_eX]

[DOI]

IEEE Access, 2019

Safe Intermittent Reinforcement Learning for Nonlinear Systems.

[BibT_eX]

[DOI]

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

Heterogeneous Formation Control of Multiple Rotorcrafts with Unknown Dynamics using Reinforcement Learning.

[BibT_eX]

[DOI]

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

Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure.

[BibT_eX]

[DOI]

Wei He

Proceedings of the 2019 American Control Conference, 2019

Attack Analysis for Discrete-time Distributed Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Synchrony in Networked Microgrids Under Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

Leader-Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal and Autonomous Control Using Reinforcement Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Optimal Synchronization of Heterogeneous Nonlinear Systems With Unknown Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Resilient Output Synchronization of Heterogeneous Multi-agent Systems under Cyber-Physical Attacks.

[BibT_eX]

[DOI]

CoRR, 2018

Observer-based Adaptive Optimal Output Containment Control problem of Linear Heterogeneous Multi-agent Systems with Relative Output Measurements.

[BibT_eX]

[DOI]

Seyed Kamal Hosseini Sani

Farzaneh Tatari

CoRR, 2018

Dynamic Intermittent Q-Learning for Systems with Reduced Bandwidth.

[BibT_eX]

[DOI]

Henrique Ferraz

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Model-Free Event-Triggered Containment Control of Multi-Agent Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Analysis and Detection of Cyber-physical Attacks in Distributed Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Attack Analysis for Distributed Control Systems: An Internal Model Principle Approach.

[BibT_eX]

[DOI]

CoRR, 2017

Resilient Autonomous Control of Distributed Multi-agent Systems in Contested Environments,

[BibT_eX]

[DOI]

CoRR, 2017

Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Distributed control of leader-follower systems under adversarial inputs using reinforcement learning.

[BibT_eX]

[DOI]

Qinglai Wei

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An internal model principle for the attacker in distributed control systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2016

Optimized Assistive Human-Robot Interaction Using Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Optimal Output-Feedback Control of Unknown Continuous-Time Linear Systems Using Off-policy Reinforcement Learning.

[BibT_eX]

[DOI]

Zhong-Ping Jiang

IEEE Trans. Cybern., 2016

Optimal model-free output synchronization of heterogeneous systems using off-policy reinforcement learning.

[BibT_eX]

[DOI]

Gabriel Alexandre Delgado Lopes

Subramanya Nageshrao

Robert Babuska

Autom., 2016

Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control.

[BibT_eX]

[DOI]

Autom., 2016

Distributed L2-gain output-feedback control of homogeneous and heterogeneous systems.

[BibT_eX]

[DOI]

Autom., 2016

Optimal output synchronization of nonlinear multi-agent systems using approximate dynamic programming.

[BibT_eX]

[DOI]

Ali Davoudi

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

H∞ Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning.

[BibT_eX]

[DOI]

Zhong-Ping Jiang

IEEE Trans. Neural Networks Learn. Syst., 2015

Continuous-Time Q-Learning for Infinite-Horizon Discounted Cost Linear Quadratic Regulator Problems.

[BibT_eX]

[DOI]

Muthukumar Palanisamy

Muhammad Aurangzeb

IEEE Trans. Cybern., 2015

Adaptive Suboptimal Output-Feedback Control for Linear Systems Using Integral Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2015

H∞ optimal control of unknown linear discrete-time systems: An off-policy reinforcement learning approach.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Cybernetics and Intelligent Systems, 2015

Autonomy and machine intelligence in complex systems: A tutorial.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

Reinforcement learning for optimal tracking and regulation: A unified framework.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

Disturbance rejection of multi-agent systems: A reinforcement learning differential game approach.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

2014

Linear Quadratic Tracking Control of Partially-Unknown Continuous-Time Systems Using Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Integral reinforcement learning and experience replay for adaptive optimal control of partially-unknown constrained-input continuous-time systems.

[BibT_eX]

[DOI]

Autom., 2014

Optimal tracking control of nonlinear partially-unknown constrained-input systems using integral reinforcement learning.

[BibT_eX]

[DOI]

Autom., 2014

Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics.

[BibT_eX]

[DOI]

Autom., 2014

2013

Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Online solution to the linear quadratic tracking problem of continuous-time systems using reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

A general insight into the effect of neuron structure on classification.

[BibT_eX]

[DOI]

Hadi Sadoghi Yazdi

Alireza Rowhanimanesh

Knowl. Inf. Syst., 2012

2011

Solving nonlinear optimal control problems using a hybrid IPSO-SQP algorithm.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2011

2010

Parameter identification of chaotic dynamic systems through an improved particle swarm optimization.

[BibT_eX]

[DOI]

Mohammad Mehdi Fateh

Expert Syst. Appl., 2010

Parameter estimation of bilinear systems based on an adaptive particle swarm optimization.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2010

A novel adaptive neural sliding mode control for systems with unknown dynamics.

[BibT_eX]

[DOI]