Area of research
Computational Theory and Mathematics · Control and Systems Engineering
Research interest
Research interests include Computer science, Control theory (sociology), Dynamic programming, Nonlinear system, Mathematical optimization, and Reinforcement learning.
General multi-step value iteration for optimal learning control
A Hybrid Adaptive Dynamic Programming for Optimal Tracking Control of USVs
Distributed Optimal Containment Control of Wheeled Mobile Robots via Adaptive Dynamic Programming
Dynamic Self-Triggered Intelligent Path Tracking Control for Autonomous Agricultural Vehicles via Reinforcement Learning
Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks
Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming
A Novel Online Adaptive Dynamic Programming Algorithm With Adjustable Convergence Rate
Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis
Deep reinforcement learning-based optimal bidding strategy for real-time multi-participant electricity market with short-term load
Event-triggered robust hierarchical control for uncertain multiplayer Stackelberg games via adaptive dynamic programming
Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
Event-Triggered Robust Adaptive Dynamic Programming for Multiplayer Stackelberg–Nash Games of Uncertain Nonlinear Systems
Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem
Event-Triggered Local Control for Nonlinear Interconnected Systems Through Particle Swarm Optimization-Based Adaptive Dynamic Programming
Novel Discounted Adaptive Critic Control Designs With Accelerated Learning Formulation
Event-Triggered Decentralized Integral Sliding Mode Control for Input-Constrained Nonlinear Large-Scale Systems With Actuator Failures
Rapid Adaptation for Active Pantograph Control in High-Speed Railway via Deep Meta Reinforcement Learning
Adaptive dynamic programming-based hierarchical decision-making of non-affine systems
Dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning
Fault tolerant control for a class of nonlinear systems with multiple faults using neuro-dynamic programming
Synchronization of Delayed Memristor-Based Neural Networks via Pinning Control With Local Information
Deep Learning-Based Trajectory Planning and Control for Autonomous Ground Vehicle Parking Maneuver
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control
Adaptive Dynamic Programming-Based Event-Triggered Robust Control for Multiplayer Nonzero-Sum Games With Unknown Dynamics
Adaptive Dynamic Programming-Based Cooperative Motion/Force Control for Modular Reconfigurable Manipulators: A Joint Task Assignment Approach
Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming
Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
Memristive LIF Spiking Neuron Model and Its Application in Morse Code
Neural network-based event-triggered integral reinforcement learning for constrained <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> tracking control with experience replay