#985,538

Most Influential Person

Researcher

- Reinforcement Learning and Feedback Control: Using Natural Decision Methods to Design Optimal Adaptive Controllers (548)
- Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem (506)
- Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem (369)
- A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems (311)
- Reinforcement Learning for Partially Observable Dynamic Processes: Adaptive Dynamic Programming Using Measured Output Data (309)
- Multi-agent differential graphical games: Online adaptive learning solution for synchronization with optimality (257)
- Multi-player non-zero-sum games: Online adaptive learning solution of coupled Hamilton-Jacobi equations (249)
- Optimal and Autonomous Control Using Reinforcement Learning: A Survey (231)
- Multi-agent discrete-time graphical games and reinforcement learning solutions (126)
- Event-triggered optimal adaptive control algorithm for continuous-time nonlinear systems (123)
- Optimal Adaptive Control and Differential Games by Reinforcement Learning Principles (101)
- Online solution of nonlinear two-player zero-sum games using synchronous policy iteration (87)
- Q-learning for continuous-time linear systems: A model-free infinite horizon optimal control approach (77)
- Online adaptive algorithm for optimal control with integral reinforcement learning (77)
- Game Theory-Based Control System Algorithms with Real-Time Reinforcement Learning: How to Solve Multiplayer Games Online (74)
- Asymptotically Stable Adaptive–Optimal Control Algorithm With Saturating Actuators and Relaxed Persistence of Excitation (73)
- Detection in Adversarial Environments (69)
- Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control (69)
- Event‐triggered optimal tracking control of nonlinear systems (68)
- Online Solution of +onlinear TwoPlayer ZeroSum Ga mes Using Synchronous Policy Iteration (61)
- Adaptive optimal controllers based on Generalized Policy Iteration in a continuous-time framework (46)
- Model-free event-triggered control algorithm for continuous-time linear systems with optimal performance (43)
- Neural Networks in Feedback Control Systems (37)
- Non-zero sum Nash Q-learning for unknown deterministic continuous-time linear systems (35)
- Autonomy and machine intelligence in complex systems: A tutorial (35)
- Online policy iteration based algorithms to solve the continuous-time infinite horizon optimal control problem (25)
- A Moving Target Defense Control Framework for Cyber-Physical Systems (24)
- Optimal adaptive control for unknown systems using output feedback by reinforcement learning methods (24)
- Online Synchronous Policy Iteration Method for Optimal Control (23)
- Non-zero sum games: Online learning solution of coupled Hamilton-Jacobi and coupled Riccati equations (21)
- Dynamic intermittent Q‐learning–based model‐free suboptimal co‐design of ‐stabilization (19)
- Adversarial detection as a zero-sum game (17)
- Cooperative Q-Learning for Rejection of Persistent Adversarial Inputs in Networked Linear Quadratic Systems (17)
- Q‐learning for continuous‐time graphical games on large networks with completely unknown linear system dynamics (15)
- Safe reinforcement learning for dynamical games (14)
- Online adaptive learning of optimal control solutions using integral reinforcement learning (14)
- Multi-agent discrete-time graphical games: interactive Nash equilibrium and value iteration solution (14)
- Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure (14)
- Distributed learning algorithm for non-linear differential graphical games (13)
- Online Optimal Operation of Parallel Voltage-Source Inverters Using Partial Information (13)
- Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators (13)
- Non-equilibrium dynamic games and cyber-physical security: A cognitive hierarchy approach (12)
- Adaptive backstepping optimal control of a fractional-order chaotic magnetic-field electromechanical transducer (11)
- Online optimal switching of single phase DC/AC inverters using partial information (11)
- Policy iteration algorithm for distributed networks and graphical games (11)
- Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph (11)
- Multi-agent differential graphical games (10)
- Learning consensus in adversarial environments (10)
- Enforcing Signal Temporal Logic Specifications in Multi-Agent Adversarial Environments: A Deep Q-Learning Approach (10)
- Hamiltonian-Driven Hybrid Adaptive Dynamic Programming (10)
- Kinodynamic Motion Planning With Continuous-Time Q-Learning: An Online, Model-Free, and Safe Navigation Framework (9)
- Open‐loop Stackelberg learning solution for hierarchical control problems (9)
- Online learning algorithm for Stackelberg games in problems with hierarchy (9)
- Adaptive optimal control algorithm for zero-sum Nash games with integral reinforcement learning (9)
- Online learning algorithms for differential dynamic games and optimal control (8)
- Formulating Cyber-Security as Convex Optimization Problems (8)
- Optimal distributed learning for disturbance rejection in networked non-linear games under unknown dynamics (8)
- Online adaptive learning for team strategies in multi-agent systems (8)
- Simultaneous dynamic system estimation and optimal control of vehicle active suspension (8)
- A neuro-adaptive architecture for extremum seeking control using hybrid learning dynamics (8)
- Online learning algorithm for zero-sum games with integral reinforcement learning (8)
- Event-triggered H-infinity control for unknown continuous-time linear systems using Q-learning (7)
- Approximate optimal adaptive control for weakly coupled nonlinear systems: A neuro-inspired approach (7)
- Distributed output-feedback model predictive control for multi-agent consensus (7)
- Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation (7)
- An Adaptive Actuation Mechanism for Anthropomorphic Robot Hands (6)
- Adaptive optimal observer design via approximate dynamic programming (6)
- A Mission-Centric Visualization Tool for Cybersecurity Situation Awareness (6)
- Control of Complex Systems : Theory and Applications (6)
- An online actor/critic algorithm for event-triggered optimal control of continuous-time nonlinear systems (5)
- Online optimal auto-tuning of PID controllers for tracking in a special class of linear systems (5)
- An Actor-Critic-Identifier Architecture for Adaptive Approximate Optimal Control (5)
- Adaptive Control for Mitigating Sensor and Actuator Attacks in Connected Autonomous Vehicle Platoons (5)
- Optimal trajectory Output Tracking control with a Q-learning algorithm (5)
- Game-Theory-Based Consensus Learning of Double-Integrator Agents in the Presence of Worst-Case Adversaries (5)
- A Secure Control Learning Framework for Cyber-Physical Systems under Sensor Attacks (5)
- A Predictive Deep Learning Approach to Output Regulation: The Case of Collaborative Pursuit Evasion (4)
- Distributed optimal synchronization control of linear networked systems under unknown dynamics (4)
- A Secure Control Learning Framework for Cyber-Physical Systems Under Sensor and Actuator Attacks. (4)
- Online Gaming: Real Time Solution of Nonlinear Two-Player Zero-Sum Games Using Synchronous Policy Iteration (4)
- Deep-Learning Tracking for Autonomous Flying Systems Under Adversarial Inputs (4)
- Robust event‐triggered output feedback learning algorithm for voltage source inverters with unknown load and parameter variations (4)
- Model-Free Event-Triggered Containment Control of Multi-Agent Systems (4)
- Entropy-Based Proactive and Reactive Cyber-Physical Security (4)
- An adaptive learning and control architecture for mitigating sensor and actuator attacks in connected autonomous vehicle platoons (4)
- Continuous-Time Safe Learning with Temporal Logic Constraints in Adversarial Environments (4)
- Bounded Rational Unmanned Aerial Vehicle Coordination for Adversarial Target Tracking (3)
- A data‐based private learning framework for enhanced security against replay attacks in cyber‐physical systems (3)
- Online gaming for learning optimal team strategies in real time (3)
- An online integral reinforcement learning algorithm to solve N-player Nash games (3)
- Adaptive H∞ Tracking Control of Nonlinear Systems Using Reinforcement Learning (3)
- Disturbance rejection of multi-agent systems: A reinforcement learning differential game approach (3)
- Distributed Games for Multi-Agent Systems: Games on Communication Graphs (2)
- Synchronous Reinforcement Learning-Based Control for Cognitive Autonomy (2)
- Switching for Unpredictability: A Proactive Defense Control Approach (2)
- Data‐enabled extremum seeking: A cooperative concurrent learning‐based approach (2)
- Active-Bayesian learning for cooperation connectivity in dynamic cyber-physical-human systems (2)
- Robust Kinodynamic Motion Planning using Model-Free Game-Theoretic Learning (2)
- DEES: A Class of Data-Enabled Robust Feedback Algorithms for Real-Time Optimization (2)
- Data-based and secure switched cyber-physical systems (2)
- Adaptive Backstepping control for MAPK cascade models using RBF neural networks (2)
- Online, Model-Free Motion Planning in Dynamic Environments: An Intermittent, Finite Horizon Approach with Continuous-Time Q-Learning (2)
- Safe Intermittent Reinforcement Learning for Nonlinear Systems (1)
- Decentralized Verification for Dissipativity of Cascade Interconnected Systems (1)
- Predictive Learning via Lookahead Simulation (1)
- CODES: Cooperative Data-Enabled Extremum Seeking for Multi-Agent Systems (1)
- Stochastic zero-sum nash games for uncertain nonlinear Markovian jump systems (1)
- An Adaptive, Humanlike Robot Hand with Selective Interdigitation: Towards Robust Grasping and Dexterous, In-Hand Manipulation (1)
- On-Off Adversarially Robust Q-Learning (1)
- A multi-step and resilient predictive Q-learning algorithm for IoT: a case study in water supply networks (1)
- Dynamic Intermittent Q-Learning for Systems with Reduced Bandwidth (1)
- Optimal and Robust Scheduling for Networked Control Systems [Bookshelf] (1)
- Game-theoretic tracking control for actuator attack attenuation in cyber-physical systems (1)
- A Compliant, Underactuated Finger for Anthropomorphic Hands (1)
- Non-Equilibrium Learning and Cyber-Physical Security (1)
- Distributed Output-Feedback Model Predictive Control (1)
- Introduction to Complex Systems and Feedback Control (1)
- Cooperative Q-learning for Rejection of Persistent Adversarial Inputs in Unknown Networked Systems (1)
- A model free learning algorithm to control autonomous streams over IoT (1)
- Optimal Attacks for the iCTF game (1)
- An Intermittent Learning Algorithm for High-Speed Autonomous Driving in Unknown Environments (0)
- Online Learning Algorithms for Optimal Control and Dynamic Games (0)
- Online Adaptive Learning Solution of Multi-Agent Differential Graphical Games (0)
- Model-Free Online Optimal Adaptive Control and Non-Zero Sum Games with Applications to Network Security (0)
- 2012 IEEE Multi-Conference on Systems and Control, MSC 2012 (0)
- Adaptive Control of Mixed-Interlaced forms (0)
- Preface [Control of Complex Systems: Theory and Applications] (0)
- Neural Control and Approximate Dynamic Programming (0)
- Off-Policy Reinforcement-Learning Algorithm to Solve Minimax Games on Graphs (0)
- Constrained Differential Games for Secure Decision-Making Against Stealthy Attacks (0)
- Integral reinforcement learning for zero-sum two-player games (0)
- Optimal adaptive control using synchronous online learning (0)
- Synchronous online learning with integral reinforcement (0)
- Recent Advances and Future Directions on Adaptation and Control Workshop [Conference Reports] (0)
- Reinforcement learning and optimal control of discrete-time systems: Using natural decision methods to design optimal adaptive controllers (0)
- Presentation_1_An Adaptive Actuation Mechanism for Anthropomorphic Robot Hands.pdf (0)
- 7. New Methods and Techniques in Online Control and Learning (0)
- Optimal Recursive Backstepping for Nonlinear Systems in a Strict-Feedback Form with Continuous and Intermittent Updates (0)
- Integral reinforcement learning (IRL) for non-linear continuous-time systems (0)
- Detection of a Drifting Acoustic Transponder by an AUV (0)
- Value iteration for continuous-time systems (0)
- Appendix A: Proofs (0)
- Guest Editorial Introduction to the Special Issue of the IEEE L-CSS on Learning and Control (0)
- Synchronous online learning for multiplayer non-zero-sum games (0)
- ACC 2015 - 2015 American Control Conference (0)
- Robust Event-Triggered Output Feedback Learning Algorithm for Unknown Voltage Source Inverters (0)
- Workshop on Distributed Reinforcement Learning and Reinforcement-Learning Games [Conference Reports] (0)
- Model-free plug-n-play optimization techniques to design autonomous and resilient complex systems (0)
- Intersection-Traffic Control of Autonomous Vehicles using Newton-Raphson Flows and Barrier Functions (0)
- Dynamic Intermittent Suboptimal Control: Performance Quantification and Comparisons (0)
- Introduction to optimal control, adaptive control and reinforcement learning (0)
- Neuro-Inspired Control (0)
- Online Learning of Optimal Control Solutions Using Integral Reinforcement Learning and Neural Networ (0)
- Advances in Reinforcement Learning Structures for Continuous-time Dynamical Systems (0)
- Synchronous online learning for zero-sum two-player games and H-infinity control (0)
- Past, Present and Future of Control Theory Applied to Autonomous Agents (0)
- Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking (0)
- H∞ TRACKING CONTROL OF NONLINEAR SYSTEMS USING REINFORCEMENT LEARNING (0)
- Model-Free Learning of Nash Games With Applications to Network Security (0)
- Reinforcement Learning with Applications in Automation Decision and Feedback Control (0)
- A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks (0)
- Terrorist Threats, Agile Vehicle Trajectory Deviation and Critical Reposition in Interaction with Environment (0)
- Online Adaptive Learning in Energy Trading Stackelberg Games with Time-Coupling Constraints (0)
- A Meta-Learning and Bounded Rationality Framework for Repeated Games in Adversarial Environments (0)
- Adaptive Backstepping Neural Network Control for Mechanical Pumps (0)
- Adaptive Backstepping Neural Network Control for Mechanical Pumps (0)
- Optimal adaptive control using integral reinforcement learning for linear systems (0)
- Real-Time Optimization : A Memory-based Concurrent Extremum Seeking Approach (0)
- A Framework for Testing and Evaluation of Operational Performance of Multi-UAV Systems (0)
- Detection of actuator faults for continuous-time systems with intermittent state feedback (0)

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