Yan Wang

Orcid: 0000-0003-1603-4582

Affiliations:
  • Ford Motor Company, Cleveland, OH, USA


According to our database1, Yan Wang authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Multiagent Systems With CBF-Based Controllers: Collision Avoidance and Liveness From Instability.
IEEE Trans. Control. Syst. Technol., March, 2024

2023
Extended Neighboring Extremal Optimal Control with State and Preview Perturbations.
CoRR, 2023

Experience-Based Evolutionary Algorithms for Expensive Optimization.
CoRR, 2023

Multi-Camera 3D Object Detection for Autonomous Driving Using Deep Learning and Self-Attention Mechanism.
IEEE Access, 2023

Data-Driven Control: Theory and Applications.
Proceedings of the American Control Conference, 2023

Discovering Governing Equations of Li-ion Batteries Pertaining State of Charge Using Input-Output Data.
Proceedings of the American Control Conference, 2023

A Physics-Inspired Machine Learning Nonlinear Model of Li-ion Batteries.
Proceedings of the American Control Conference, 2023

2022
Event-Triggered Cloud-based Nonlinear Model Predictive Control with Neighboring Extremal Adaptations.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-Driven Safe Predictive Control Using Spatial Temporal Filter-based Function Approximators.
Proceedings of the American Control Conference, 2022

2021
Online Nonlinear Dynamic System Identification With Evolving Spatial-Temporal Filters: Case Study on Turbocharged Engine Modeling.
IEEE Trans. Control. Syst. Technol., 2021

A multi-objective optimization framework for online ridesharing systems.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

Dynamic System Identification for a Nonlinear Vehicle Model Using $q$-Markov Cover under Different Operational Conditions.
Proceedings of the 2021 American Control Conference, 2021

2020
A multi-objective optimization framework for on-line ridesharing systems.
CoRR, 2020

Improvement of Variable Cam Timing Multirate Control via Optimal Output Filtering.
Proceedings of the 2020 American Control Conference, 2020

Multi-Objective Stochastic Bayesian Optimization for Iterative Engine Calibration.
Proceedings of the 2020 American Control Conference, 2020

Hierarchical Optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information.
Proceedings of the 2020 American Control Conference, 2020

MPC-based Vibration Control and Energy Harvesting Using an Electromagnetic Vibration Absorber With Inertia Nonlinearity.
Proceedings of the 2020 American Control Conference, 2020

2019
Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information.
CoRR, 2019

Domination-Based Ordinal Regression for Expensive Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimized Design of Multi-Speed Transmissions for Battery Electric Vehicles.
Proceedings of the 2019 American Control Conference, 2019

2017
Adaptive control of an uncertain hammerstein actuator model in a variable cam timing system.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
Trajectory optimization with memetic algorithms: Time-to-torque minimization of turbocharged engines.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2013
Piecewise Bilinear models for feedback error learning: On-line feedforward controller design.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Onboard learning-based fuel consumption optimization in series hybrid electric vehicles.
Proceedings of the American Control Conference, 2012


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