Peng Yi
Orcid: 0000-0002-2494-1505Affiliations:
- Tongji University, Department of Control Science and Engineering, Shanghai, China
- Washington University, Department of Electrical and Systems Engineering, St. Louis, USA (2017 - 2019)
- University of Toronto, Department of Electrical and Computer Engineering, ON, Canada (2016 - 2017)
- Academy of Mathematics and Systems Science, Beijing, China (PhD 2016)
According to our database1,
Peng Yi
authored at least 58 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Autom., February, 2024
IEEE Trans. Cybern., January, 2024
Distributed mirror descent method with operator extrapolation for stochastic aggregative games.
Autom., January, 2024
Distributed Pose-graph Optimization with Multi-level Partitioning for Collaborative SLAM.
CoRR, 2024
2023
Predefined-Time Distributed Nash Equilibrium Seeking for Noncooperative Games With Event-Triggered Communication.
IEEE Trans. Circuits Syst. II Express Briefs, September, 2023
IEEE Trans. Control. Netw. Syst., March, 2023
Generalized multi-cluster game under partial-decision information with applications to management of energy internet.
J. Frankl. Inst., March, 2023
IEEE Trans. Cybern., 2023
Multi-Agent Deep Reinforcement Learning for Large-Scale Platoon Coordination with Partial Information at Hubs.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Trans. Autom. Control., 2022
IEEE Trans. Autom. Control., 2022
STV-SC: Segmentation and Temporal Verification Enhanced Scan Context for Place Recognition in Unstructured Environment.
Sensors, 2022
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games.
CoRR, 2022
Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games.
Auton. Intell. Syst., 2022
2021
Distributed Nonsmooth Convex Optimization over Markovian Switching Random Networks with Two Step-Sizes.
J. Syst. Sci. Complex., 2021
J. Syst. Sci. Complex., 2021
CoRR, 2021
Distributed algorithm for ε-generalized Nash equilibria with uncertain coupled constraints.
Autom., 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Asynchronous Distributed Algorithms for Seeking Generalized Nash Equilibria Under Full and Partial-Decision Information.
IEEE Trans. Cybern., 2020
IEEE Trans. Control. Netw. Syst., 2020
SIAM J. Optim., 2020
Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference.
Neural Networks, 2020
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020
A Communication-efficient Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization.
Proceedings of the 18th European Control Conference, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Unmanned Syst., 2019
Distributed Generalized Nash Equilibria Computation of Monotone Games via Double-Layer Preconditioned Proximal-Point Algorithms.
IEEE Trans. Control. Netw. Syst., 2019
Multiple Timescale Online Learning Rules for Information Maximization with Energetic Constraints.
Neural Comput., 2019
An operator splitting approach for distributed generalized Nash equilibria computation.
Autom., 2019
Proceedings of the 2019 American Control Conference, 2019
2018
IEEE Trans. Cybern., 2018
Distributed Continuous-Time Algorithms for Nonsmooth Extended Monotropic Optimization Problems.
SIAM J. Control. Optim., 2018
Distributed resource allocation over random networks based on stochastic approximation.
Syst. Control. Lett., 2018
Distributed Algorithm for Robust Resource Allocation with Polyhedral Uncertain Allocation Parameters.
J. Syst. Sci. Complex., 2018
Projected primal-dual gradient flow of augmented Lagrangian with application to distributed maximization of the algebraic connectivity of a network.
Autom., 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Distributed seeking for generalized Nash equilibria of monotone games via preconditioned proximal algorithms.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Distributed Optimization Design of Continuous-Time Multiagent Systems With Unknown-Frequency Disturbances.
IEEE Trans. Cybern., 2017
Distributed Continuous-Time Algorithm for Constrained Convex Optimizations via Nonsmooth Analysis Approach.
IEEE Trans. Autom. Control., 2017
A distributed primal-dual algorithm for computation of generalized Nash equilibria with shared affine coupling constraints via operator splitting methods.
CoRR, 2017
CoRR, 2017
Autom., 2017
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017
A distributed primal-dual algorithm for computation of generalized Nash equilibria via operator splitting methods.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Distributed continuous-time algorithm for robust resource allocation problems using output feedback.
Proceedings of the 2017 American Control Conference, 2017
2016
Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems.
Autom., 2016
Proceedings of the 12th IEEE International Conference on Control and Automation, 2016
2015
Distributed gradient algorithm for constrained optimization with application to load sharing in power systems.
Syst. Control. Lett., 2015
2014
IEEE Trans. Control. Netw. Syst., 2014
J. Control. Decis., 2014