Area of research
Signal Processing · Control and Systems Engineering
Research interest
Research focused on Reinforcement learning and Control theory (sociology), with related work in Tracking error, Resilience (materials science), Bargaining problem. Notable publications include 'Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics', 'Adaptive synchronization of multi-agent systems with resilience to communication link faults', and 'Cooperative P2P Energy Trading in Active Distribution Networks: An MILP-Based Nash Bargaining Solution'.
Improving performances of GNSS positioning correction using multiview deep reinforcement learning with sparse representation
Specified convergence rate guaranteed output tracking of discrete-time systems via reinforcement learning
Mitigating NLOS Interference in GNSS Single-Point Positioning Based on Dual Self-Attention Networks
Distributed output data-driven optimal robust synchronization of heterogeneous multi-agent systems
Online Policy Iteration Algorithms for Linear Continuous-Time H-Infinity Regulation With Completely Unknown Dynamics
Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition
Adaptive optimal output tracking of continuous-time systems via output-feedback-based reinforcement learning
Robust Output Regulation and Reinforcement Learning-Based Output Tracking Design for Unknown Linear Discrete-Time Systems
Nash Mechanisms for Market Design Based on Distribution Locational Marginal Prices
Operation Management of Electric Vehicle Battery Swapping and Charging Systems: A Bilevel Optimization Approach
A Local Electricity and Carbon Trading Method for Multi-Energy Microgrids Considering Cross-Chain Interaction
FedParking: A Federated Learning Based Parking Space Estimation With Parked Vehicle Assisted Edge Computing
Chance Constrained Scheduling and Pricing for Multi-Service Battery Energy Storage
Underdetermined blind source separation of speech mixtures unifying dictionary learning and sparse representation
Cooperative P2P Energy Trading in Active Distribution Networks: An MILP-Based Nash Bargaining Solution
Multi-Resource Allocation of Shared Energy Storage: A Distributed Combinatorial Auction Approach
Underdetermined blind separation of source using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si9.svg"><mml:mrow><mml:msub><mml:mrow><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>-norm diversity measures
Distributed Demand Response for Multienergy Residential Communities With Incomplete Information
Reinforcement Learning-Based Adaptive Optimal Exponential Tracking Control of Linear Systems With Unknown Dynamics
Adaptive synchronization of multi-agent systems with resilience to communication link faults
Online Control and Near-Optimal Algorithm for Distributed Energy Storage Sharing in Smart Grid
MEC-Driven UAV-Enabled Routine Inspection Scheme in Wind Farm Under Wind Influence
Latent Elastic-Net Transfer Learning
ADMM Empowered Distributed Computational Intelligence for Internet of Energy