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Yebin Wang
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2020 – today
- 2024
- [j35]Chungwei Lin
, Yebin Wang
Path Generation Based on Electrostatic Equipotential Curves. IEEE Access 12: 55019-55032 (2024) - [j34]Yehan Ma
Smart Actuation for End-Edge Industrial Control Systems. IEEE Trans Autom. Sci. Eng. 21(1): 269-283 (2024) - [j33]Yebin Wang
Hierarchical Planning for Autonomous Parking in Dynamic Environments. IEEE Trans. Control. Syst. Technol. 32(4): 1386-1398 (2024) - [c57]Iman Askari, Yebin Wang, Vedang M. Deshpande, Huazhen Fang:
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing. ACC 2024: 1329-1334 - [c56]Hao Tu, Xinfan Lin, Yebin Wang, Huazhen Fang:
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. ACC 2024: 1946-1951 - [c55]Seho Park, Yebin Wang, Hongtao Qiao, Yusuke Sakamoto, Bingnan Wang, Dehong Liu:
Control Co-Design for Electric Vehicles with Driving Cycle Synthesis Encoding Road Traffic and Driver Characteristics. CCTA 2024: 32-39 - [c54]Zehui Lu
Distributed Co-Design of Motors and Motions for Robotic Manipulators. ECC 2024: 1366-1373 - [c53]Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
Leveraging Structures in Fault Diagnosis for Lithium-Ion Battery Packs. ICPS 2024: 1-6 - [i17]Guoxiang Zhao, Devesh K. Jha, Yebin Wang, Minghui Zhu:
iPolicy: Incremental Policy Algorithms for Feedback Motion Planning. CoRR abs/2401.02883 (2024) - [i16]Zehui Lu
Integrated Optimal Control for Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures. CoRR abs/2404.04358 (2024) - [i15]Hao Tu, Manashita Borah, Scott J. Moura, Yebin Wang, Huazhen Fang:
Remaining Energy Prediction for Lithium-Ion Batteries: A Machine Learning Approach. CoRR abs/2404.14767 (2024) - [i14]Zehui Lu, Yebin Wang:
A Differentiable Dynamic Modeling Approach to Integrated Motion Planning and Actuator Physical Design for Mobile Manipulators. CoRR abs/2405.00882 (2024) - [i13]Hao Tu, Xinfan Lin, Yebin Wang, Huazhen Fang:
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization. CoRR abs/2405.20219 (2024) - [i12]Amir Farakhor, Di Wu, Pingen Chen, Junmin Wang, Yebin Wang, Huazhen Fang:
Economic Optimal Power Management of Second-Life Battery Energy Storage Systems. CoRR abs/2408.16197 (2024) - 2023
- [c52]Amir Farakhor, Yebin Wang, Di Wu
Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach. ACC 2023: 3106-3112 - [c51]Sixiong You, Marcus Greiff, Rien Quirynen, Shuangxuan Ran, Yebin Wang, Karl Berntorp, Ran Dai, Stefano Di Cairano:
Integral Action NMPC for Tight Maneuvers of Articulated Vehicles. ACC 2023: 3155-3161 - [c50]Xiaoming Duan, Yebin Wang, Diego Romeres, Toshiaki Koike-Akino, Philip V. Orlik:
Trajectory Generation for Online Payload Estimation of Robot Manipulators: A Supervised Learning Based Approach. CASE 2023: 1-7 - [c49]Syed Rahman, Dehong Liu, Marcel Menner, Yebin Wang, Tomoki Takegami:
Extended Kalman Filter-Based Predictive Maintenance of High-Voltage DC/DC Converter. IECON 2023: 1-6 - [c48]Yebin Wang, Chung-Wei Lin, Huazhen Fang, Tomoki Takegami:
Reliability-Based Sizing of Electric Propulsion System for Turboelectric Aircraft. IECON 2023: 1-7 - [i11]Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
A Novel Modular, Reconfigurable Battery Energy Storage System: Design, Control, and Experimentation. CoRR abs/2301.05168 (2023) - [i10]Adrian Stein
Application-Oriented Co-Design of Motors and Motions for a 6DOF Robot Manipulator. CoRR abs/2310.03132 (2023) - [i9]Amir Farakhor, Di Wu, Yebin Wang, Huazhen Fang:
Scalable Optimal Power Management for Large-Scale Battery Energy Storage Systems. CoRR abs/2310.16333 (2023) - 2022
- [j32]Huazhen Fang
Robust Extended Kalman Filtering for Systems With Measurement Outliers. IEEE Trans. Control. Syst. Technol. 30(2): 795-802 (2022) - [j31]Yehan Ma
Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems. IEEE Trans. Control. Syst. Technol. 30(6): 2360-2376 (2022) - [c47]Zejiang Wang
Motion Planning and Model Predictive Control for Automated Tractor-Trailer Hitching Maneuver. CCTA 2022: 676-682 - [c46]Hao Tu, Yebin Wang, Xianglin Li, Huazhen Fang:
Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering. CDC 2022: 5022-5028 - [c45]Jessica EnShiuan Leu, Yebin Wang, Masayoshi Tomizuka, Stefano Di Cairano:
Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planning. ICRA 2022: 10890-10897 - [c44]Jessica EnShiuan Leu, Yebin Wang, Masayoshi Tomizuka, Stefano Di Cairano:
Improved A-Search Guided Tree for Autonomous Trailer Planning. IROS 2022: 7190-7196 - [c43]Yebin Wang, Lei Zhou:
Self-tuning optimal torque control for servomotor drives via adaptive dynamic programming. SMC 2022: 1133-1139 - [i8]Jessica EnShiuan Leu, Yebin Wang, Masayoshi Tomizuka, Stefano Di Cairano:
Autonomous Vehicle Parking in Dynamic Environments: An Integrated System with Prediction and Motion Planning. CoRR abs/2204.10383 (2022) - 2021
- [j30]Ning Tian
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification, and Validation. IEEE Trans. Control. Syst. Technol. 29(1): 370-384 (2021) - [j29]Ning Tian
Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control. IEEE Trans. Ind. Informatics 17(2): 1318-1330 (2021) - [j28]Ankush Chakrabarty
Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 405-419 (2021) - [c42]Siyu Dai, Yebin Wang:
Long-Horizon Motion Planning for Autonomous Vehicle Parking Incorporating Incomplete Map Information. ICRA 2021: 8135-8142 - [i7]Hao Tu, Scott J. Moura, Yebin Wang, Huazhen Fang:
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries. CoRR abs/2112.12979 (2021) - 2020
- [j27]Yehan Ma, Chenyang Lu, Yebin Wang:
Efficient Holistic Control: Self-awareness across Controllers and Wireless Networks. ACM Trans. Cyber Phys. Syst. 4(4): 41:1-41:27 (2020) - [c41]Emma Hansen, Yebin Wang:
Improving Path Accuracy for Autonomous Parking Systems: An Optimal Control Approach. ACC 2020: 5243-5249 - [c40]Ankush Chakrabarty, Claus Danielson, Yebin Wang:
Data-Driven Optimal Tracking with Constrained Approximate Dynamic Programming for Servomotor Systems. CCTA 2020: 352-357 - [i6]Ning Tian, Yebin Wang, Jian Chen, Huazhen Fang:
One-Shot Parameter Identification of the Thevenin's Model for Batteries: Methods and Validation. CoRR abs/2003.06504 (2020) - [i5]Ning Tian, Huazhen Fang, Yebin Wang:
Real-Time Optimal Lithium-Ion Battery Charging Based on Explicit Model Predictive Control. CoRR abs/2004.14321 (2020)
2010 – 2019
- 2019
- [j26]Bin Hu, Yebin Wang, Philip V. Orlik, Toshiaki Koike-Akino
Co-design of safe and efficient networked control systems in factory automation with state-dependent wireless fading channels. Autom. 105: 334-346 (2019) - [j25]Yebin Wang, Lei Zhou, Scott A. Bortoff, Akira Satake, Shinichi Furutani:
An approximate high gain observer for speed-sensorless estimation of induction motors. IEEE CAA J. Autom. Sinica 6(1): 53-63 (2019) - [j24]Adedapo Odekunle, Weinan Gao
Data-driven global robust optimal output regulation of uncertain partially linear systems. IEEE CAA J. Autom. Sinica 6(5): 1108-1115 (2019) - [j23]Yiming Zhao, Yebin Wang
Energy-Optimal Collision-Free Motion Planning for Multiaxis Motion Systems: An Alternating Quadratic Programming Approach. IEEE Trans Autom. Sci. Eng. 16(1): 327-338 (2019) - [j22]Ning Tian
3-D Temperature Field Reconstruction for a Lithium-Ion Battery Pack: A Distributed Kalman Filtering Approach. IEEE Trans. Control. Syst. Technol. 27(2): 847-854 (2019) - [j21]Chensheng Liu
Electric Vehicles En-Route Charging Navigation Systems: Joint Charging and Routing Optimization. IEEE Trans. Control. Syst. Technol. 27(2): 906-914 (2019) - [j20]Mengzhe Huang
Data-Driven Shared Steering Control of Semi-Autonomous Vehicles. IEEE Trans. Hum. Mach. Syst. 49(4): 350-361 (2019) - [j19]Jingyuan Zhan
Distributed Model Predictive Consensus With Self-Triggered Mechanism in General Linear Multiagent Systems. IEEE Trans. Ind. Informatics 15(7): 3987-3997 (2019) - [c39]Takeshi Takahashi, He Sun, Dong Tian, Yebin Wang:
Learning Heuristic Functions for Mobile Robot Path Planning Using Deep Neural Networks. ICAPS 2019: 764-772 - [c38]Ning Tian, Huazhen Fang, Yebin Wang:
Parameter Identification of the Nonlinear Double-Capacitor Model for Lithium-Ion Batteries: From the Wiener Perspective. ACC 2019: 897-902 - [c37]Ankush Chakrabarty, Devesh K. Jha, Yebin Wang:
Data-Driven Control Policies for Partially Known Systems via Kernelized Lipschitz Learning. ACC 2019: 4192-4197 - [c36]Mengzhe Huang, Mingyu Zhao, Parthiv Parikh, Yebin Wang, Kaan Ozbay, Zhong-Ping Jiang:
Reinforcement Learning for Vision-Based Lateral Control of a Self-Driving Car. ICCA 2019: 1126-1131 - [c35]Yehan Ma, Jianlin Guo, Yebin Wang, Ankush Chakrabarty, Heejin Ahn, Philip V. Orlik, Chenyang Lu:
Optimal dynamic scheduling of wireless networked control systems. ICCPS 2019: 77-86 - [c34]Yebin Wang:
Improved A-search guided tree construction for kinodynamic planning. ICRA 2019: 5530-5536 - [c33]Tong Ma, Taiga Komatsu, Bingnan Wang, Yebin Wang, Chungwei Lin:
Observer Designs for Simultaneous Temperature and Loss Estimation for Electric Motors: A Comparative Study. IECON 2019: 1234-1241 - [c32]Ning Tian, Huazhen Fang, Yebin Wang:
Real-Time Optimal Charging for Lithium-Ion Batteries via Explicit Model Predictive Control. ISIE 2019: 2001-2006 - [c31]Yebin Wang, Ankush Chakrabarty, MengChu Zhou, Jinyun Zhang:
Near-Optimal Control of Motor Drives via Approximate Dynamic Programming. SMC 2019: 3679-3686 - [i4]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robust Extended Kalman Filtering for Systems with Measurement Outliers. CoRR abs/1904.00335 (2019) - [i3]Ning Tian, Huazhen Fang, Jian Chen, Yebin Wang:
Nonlinear Double-Capacitor Model for Rechargeable Batteries: Modeling, Identification and Validation. CoRR abs/1906.04150 (2019) - [i2]Ankush Chakrabarty, Devesh K. Jha, Gregery T. Buzzard, Yebin Wang, Kyriakos G. Vamvoudakis:
Safe Approximate Dynamic Programming Via Kernelized Lipschitz Estimation. CoRR abs/1907.02151 (2019) - 2018
- [j18]Yebin Wang, Kenji Utsunomiya:
From acceleration-based semi-active vibration reduction control to functional observer design. Autom. 66(3): 234-245 (2018) - [j17]Huazhen Fang, Ning Tian
Nonlinear Bayesian estimation: from Kalman filtering to a broader horizon. IEEE CAA J. Autom. Sinica 5(2): 401-417 (2018) - [j16]Zhao Ren, Kun Qian
Deep Scalogram Representations for Acoustic Scene Classification. IEEE CAA J. Autom. Sinica 5(3): 662-669 (2018) - [j15]Weinan Gao
Leader-to-Formation Stability of Multiagent Systems: An Adaptive Optimal Control Approach. IEEE Trans. Autom. Control. 63(10): 3581-3587 (2018) - [j14]Gozde O. Sahinoglu
Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression. IEEE Trans. Ind. Electron. 65(5): 4311-4321 (2018) - [c30]Jie You, Wencen Wu, Yebin Wang:
An Adaptive Luenberger Observer for Speed-Sensorless Estimation of Induction Machines. ACC 2018: 307-312 - [c29]Yehan Ma, Yebin Wang, Stefano Di Cairano, Toshiaki Koike-Akino
A smart actuation architecture for wireless networked control systems. CDC 2018: 1231-1237 - [c28]Huazhen Fang, Mulugeta A. Haile, Yebin Wang:
Robustifying the Kalman Filter Against Measurement Outliers: An Innovation Saturation Mechanism. CDC 2018: 6390-6395 - [c27]Yebin Wang, Bo Yuan
Spinning Target Imaging Algorithms for Microwave Staring Correlated Imaging. ICSPCC 2018: 1-5 - 2017
- [j13]Shu-Xia Tang
State-of-Charge estimation from a thermal-electrochemical model of lithium-ion batteries. Autom. 83: 206-219 (2017) - [j12]Chensheng Liu, Jing Wu
Dynamic State Recovery for Cyber-Physical Systems Under Switching Location Attacks. IEEE Trans. Control. Netw. Syst. 4(1): 14-22 (2017) - [j11]Huazhen Fang, Yebin Wang, Jian Chen:
Health-Aware and User-Involved Battery Charging Management for Electric Vehicles: Linear Quadratic Strategies. IEEE Trans. Control. Syst. Technol. 25(3): 911-923 (2017) - [c26]Weinan Gao
Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming. ACC 2017: 2674-2679 - [c25]Yebin Wang, Devesh K. Jha, Yukiyasu Akemi:
A two-stage RRT path planner for automated parking. CASE 2017: 496-502 - [c24]Ning Tian
On parameter identification of an equivalent circuit model for lithium-ion batteries. CCTA 2017: 187-192 - [c23]Jin Dai, Yebin Wang, Scott A. Bortoff, Daniel J. Burns:
From reeds-shepp's paths to continuous curvature paths-Part I: Transition schemes & algorithms. CCTA 2017: 355-362 - [c22]Milutin Pajovic, Zafer Sahinoglu, Yebin Wang, Philip V. Orlik, Toshihiro Wada:
Online data-driven battery voltage prediction. INDIN 2017: 827-834 - [i1]Huazhen Fang, Ning Tian, Yebin Wang, MengChu Zhou, Mulugeta A. Haile:
Nonlinear Bayesian Estimation: From Kalman Filtering to a Broader Horizon. CoRR abs/1712.01406 (2017) - 2016
- [j10]Yu Jiang, Yebin Wang, Scott A. Bortoff, Zhong-Ping Jiang:
An iterative approach to the optimal co-design of linear control systems. Int. J. Control 89(4): 680-690 (2016) - [c21]Yebin Wang, Lei Zhou, Scott A. Bortoff, Akira Satake, Shinichi Furutani:
High gain observer for speed-sensorless motor drives: Algorithm and experiments. AIM 2016: 1127-1132 - [c20]Lei Zhou, Yebin Wang:
Speed sensorless state estimation for induction motors: A moving horizon approach. ACC 2016: 2229-2234 - [c19]Devesh K. Jha, Minghui Zhu, Yebin Wang, Asok Ray:
Data-driven anytime algorithms for motion planning with safety guarantees. ACC 2016: 5716-5721 - [c18]Yebin Wang, Jing Wu, Chengnian Long:
Policy iteration-based optimal control design for nonlinear descriptor systems. ACC 2016: 5740-5745 - [c17]Gozde Ozcan, Milutin Pajovic, Zafer Sahinoglu, Yebin Wang, Philip V. Orlik, Toshihiro Wada:
Online state of charge estimation for Lithium-ion batteries using Gaussian process regression. IECON 2016: 998-1003 - 2015
- [j9]Yebin Wang, Huazhen Fang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara:
Adaptive Estimation of the State of Charge for Lithium-Ion Batteries: Nonlinear Geometric Observer Approach. IEEE Trans. Control. Syst. Technol. 23(3): 948-962 (2015) - [j8]Yebin Wang, Yiming Zhao, Scott A. Bortoff, Koichiro Ueda:
A Real-Time Energy-Optimal Trajectory Generation Method for a Servomotor System. IEEE Trans. Ind. Electron. 62(2): 1175-1188 (2015) - [j7]Yu Jiang
Optimal Codesign of Nonlinear Control Systems Based on a Modified Policy Iteration Method. IEEE Trans. Neural Networks Learn. Syst. 26(2): 409-414 (2015) - [c16]Toshihiro Wada, Tomoki Takegami, Yebin Wang:
Sequential estimation of state of charge and equivalent circuit parameters for lithium-ion batteries. ACC 2015: 2494-2498 - [c15]Yuh Shyang Wang, Yebin Wang:
A gradient-based approach for optimal plant controller co-design. ACC 2015: 3249-3254 - [c14]Shuxia Tang
State-of-charge estimation for lithium-ion batteries via a coupled thermal-electrochemical model. ACC 2015: 5871-5877 - [c13]Toshihiro Wada, Tomoki Takegami, Yebin Wang, Zafer Sahinoglu:
Capacity estimation for lithium-ion batteries using adaptive filter on affine space. ASCC 2015: 1-6 - 2014
- [c12]Yiming Zhao, Yebin Wang, Scott A. Bortoff, Daniel Nikovski:
Energy-efficient collision-free trajectory planning using Alternating Quadratic Programming. ACC 2014: 1249-1254 - [c11]Huazhen Fang, Xin Zhao, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara, Raymond A. de Callafon:
State-of-charge estimation for batteries: A multi-model approach. ACC 2014: 2779-2785 - [c10]Taesic Kim, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara, Wei Qiao:
Fast UD factorization-based RLS online parameter identification for model-based condition monitoring of lithium-ion batteries. ACC 2014: 4410-4415 - [c9]Yi Deng, Yebin Wang, Koon Hoo Teo, Ronald G. Harley:
Space vector modulation method for modular multilevel converters. IECON 2014: 4715-4721 - 2013
- [j6]Yebin Wang, Koichiro Ueda, Scott A. Bortoff:
A Hamiltonian approach to compute an energy efficient trajectory for a servomotor system. Autom. 49(12): 3550-3561 (2013) - [c8]Yiming Zhao, Yebin Wang, Scott A. Bortoff, Koichiro Ueda:
Real-time energy-optimal trajectory generation for a servo motor. ACC 2013: 1165-1170 - [c7]Huazhen Fang, Yebin Wang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara:
Adaptive estimation of state of charge for lithium-ion batteries. ACC 2013: 3485-3491 - [c6]Yebin Wang, Kenji Utsunomiya:
Sub-optimal control design of a semi-active vibration reduction system. ACC 2013: 4110-4115 - [c5]Yebin Wang, Huazhen Fang, Zafer Sahinoglu, Toshihiro Wada, Satoshi Hara:
Nonlinear adaptive estimation of the state of charge for Lithium-ion batteries. CDC 2013: 4405-4410 - 2012
- [c4]Yebin Wang, Koichiro Ueda, Scott A. Bortoff:
On the optimal trajectory generation for servomotors: A Hamiltonian approach. CDC 2012: 7620-7625 - 2010
- [j5]Ola Dahl, Yebin Wang, Alan F. Lynch, Anders Heyden:
Observer forms for perspective systems. Autom. 46(11): 1829-1834 (2010) - [j4]Yebin Wang, Alan F. Lynch:
Multiple Time Scalings of a Multi-Output Observer Form. IEEE Trans. Autom. Control. 55(4): 966-971 (2010)
2000 – 2009
- 2009
- [j3]Yebin Wang, Alan F. Lynch:
Observer design using a generalized time-scaled block triangular observer form. Syst. Control. Lett. 58(5): 346-352 (2009) - 2008
- [j2]Yebin Wang, Alan F. Lynch:
A block triangular observer form for non-linear observer design. Int. J. Control 81(2): 177-188 (2008) - [c3]Yebin Wang, Alan F. Lynch:
Time scaling of a multi-output observer form. ACC 2008: 5242-5247 - 2007
- [c2]Yebin Wang, Alan F. Lynch:
On the Existence of a Block Triangular Form. ACC 2007: 2346-2351 - 2006
- [j1]Yebin Wang, Alan F. Lynch:
A Block Triangular Form for Nonlinear Observer Design. IEEE Trans. Autom. Control. 51(11): 1803-1808 (2006) - [c1]Yebin Wang, Alan F. Lynch:
Observer design using a time scaled block triangular observer form. ACC 2006: 1-7
Coauthor Index
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