Peng Yi (0000-0002-2494-1505)

Personal information

Biography

Peng Yi received the B.Sc. degree in automation from the University of Science and Technology of China, Hefei, China, in 2011, and received his Ph.D. degree in operations research and cybernetic from Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2016. He was a postdoctoral research in University of Toronto, Canada and Washington University in St. Louis, USA, from 2016 to 2019. His research interest covers multiagent systems, distributed optimization, game theory and smart grid.

He is now a research professor at Tongji University, Shanghai, China

Activities

Collapse all

Tongji University: Shanghai, Shanghai, CN

2019-09-01 to present | Research Professor (Shanghai Institute of Intelligent Science and Technology)

Employment

Peng Yi

https://orcid.org/0000-0002-2494-1505

Personal information

Keywords

Countries

Biography

Activities

Employment (3)

Tongji University: Shanghai, Shanghai, CN

Washington University in St. Louis: MO, MO, US

University of Toronto: Toronto, ON, CA

Education and qualifications (2)

Academy of Mathematics and system science: Beijing, Beijing , CN

University of Science and Technology of China: Hefei, Anhui, CN

Works (35)

Adaptive Decision-Making in Attack-Defense Games With Bayesian Inference of Rationality Level

Distributed Nash Equilibrium Seeking Dynamics With Discrete Communication

Distributed Pose-Graph Optimization With Multi-Level Partitioning for Multi-Robot SLAM

Distributed Stackelberg Equilibrium Seeking for Networked Multi-Leader Multi-Follower Games with A Clustered Information Structure

Towards Cooperative Driving among Heterogeneous CAVs: A Safe Multi-Agent Reinforcement Learning Approach

Distributed No-Regret Learning in Aggregative Games With Residual Bandit Feedback

Game Theoretic Non‐cooperative Dynamic Target Tracking for Directional Sensing‐Enabled Unmanned Aerial Vehicles

Multi-Vehicle Trajectory Planning at V2I-Enabled Intersections Based on Correlated Equilibrium

Cooperative Path Planning for Multiplayer Reach‐Avoid Games under Imperfect Observation Information

Multi-Cluster Aggregative Games: A Linearly Convergent Nash Equilibrium Seeking Algorithm and Its Applications in Energy Management

Distributed Optimization With Projection-Free Dynamics: A Frank-Wolfe Perspective

Cooperative Safe Trajectory Planning for Quadrotor Swarms

Predefined-Time Distributed Nash Equilibrium Seeking for Noncooperative Games With Event-Triggered Communication

Distributed projection‐free algorithm for constrained aggregative optimization

Distributed Linear Equations Over Random Networks

Generalized multi-cluster game under partial-decision information with applications to management of energy internet

Nash Equilibrium Seeking for High-Order Multiagent Systems With Unknown Dynamics

Distributed Time-Varying Convex Optimization With Dynamic Quantization

Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games

Nash equilibrium seeking over directed graphs

STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment

Distributed Variable Sample-Size Stochastic Optimization With Fixed Step-Sizes

Prescribed performance tracking for a class of uncertain nonlinear systems with actuator failures

Multiagent Interval Consensus With Flocking Dynamics

Asynchronous Distributed Power Control of Multimicrogrid Systems

Asynchronous Distributed Algorithms for Seeking Generalized Nash Equilibria Under Full and Partial-Decision Information

Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints

An operator splitting approach for distributed generalized Nash equilibria computation

Distributed Generalized Nash Equilibria Computation of Monotone Games via Double-Layer Preconditioned Proximal-Point Algorithms

Distributed resource allocation over random networks based on stochastic approximation

Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems

Stochastic sub-gradient algorithm for distributed optimization with random sleep scheme

Distributed gradient algorithm for constrained optimization with application to load sharing in power systems

Quantized Subgradient Algorithm and Data-Rate Analysis for Distributed Optimization

Potential game design for a class of distributed optimisation problems