2012 - IEEE Fellow For contributions to system identification and the analysis of system complexity
His scientific interests lie mostly in Control theory, System identification, Battery, Nonlinear system and Lithium. Le Yi Wang is studying Control theory, which is a component of Control theory. Le Yi Wang combines subjects such as Estimation theory, Identifiability, Efficient estimator and Signal processing with his study of System identification.
His research in Nonlinear system tackles topics such as Linear system which are related to areas like Exponential stability, Robust control, Norm and Bounded function. His Lithium study integrates concerns from other disciplines, such as Open-circuit voltage, Nuclear engineering, Electrical engineering and Constant. He combines subjects such as Control engineering, Noise and Markov process with his study of Identification.
His primary scientific interests are in Control theory, System identification, Identification, Mathematical optimization and Algorithm. His study in Nonlinear system, Robustness, Robust control, Linear system and Adaptive control are all subfields of Control theory. His work deals with themes such as Control engineering, Scalability and Distributed computing, which intersect with Robustness.
His work carried out in the field of System identification brings together such families of science as Estimation theory, Identifiability, Signal processing, Upper and lower bounds and Electronic engineering. His Identification research incorporates themes from Time complexity, Binary number and Noise. His studies in Mathematical optimization integrate themes in fields like Markov process, Computational complexity theory, Convergence, Stochastic process and Markov chain.
Le Yi Wang mainly focuses on Control theory, Battery, Convergence, State of charge and Applied mathematics. His Control theory research includes themes of System identification and Voltage. His Battery research is multidisciplinary, relying on both Reliability engineering, Control, Automotive engineering, Lithium and Electrical engineering.
His studies deal with areas such as Mathematical optimization and Identification as well as Convergence. His research investigates the link between State of charge and topics such as Control engineering that cross with problems in Electric power system, Observability and Controllability. His study on Applied mathematics also encompasses disciplines like
His scientific interests lie mostly in Control theory, Battery, Lithium, Electrical engineering and State of charge. His Control theory research is multidisciplinary, incorporating perspectives in Control engineering, Upper and lower bounds, Binary number and System identification. He has researched Battery in several fields, including Reliability, Power electronics, AC power and Reliability engineering.
The concepts of his Lithium study are interwoven with issues in Open-circuit voltage, Automotive engineering, Anode and Constant. His Electrical engineering study combines topics from a wide range of disciplines, such as Nuclear engineering and State of health. Le Yi Wang works mostly in the field of State of charge, limiting it down to topics relating to Constant current and, in certain cases, Filter and H-infinity methods in control theory, as a part of the same area of interest.
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Method and system for continuous monitoring and training of exercise
Mark H. Schwartz;Le Yi Wang;Hong Wang.
(2007)
VCONF: a reinforcement learning approach to virtual machines auto-configuration
Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang.
international conference on autonomic computing (2009)
VCONF: a reinforcement learning approach to virtual machines auto-configuration
Jia Rao;Xiangping Bu;Cheng-Zhong Xu;Leyi Wang.
international conference on autonomic computing (2009)
Electric Vehicle Battery Technologies
Kwo Young;Caisheng Wang;Le Yi Wang;Kai Strunz.
(2013)
Electric Vehicle Battery Technologies
Kwo Young;Caisheng Wang;Le Yi Wang;Kai Strunz.
(2013)
System identification using binary sensors
Le Yi Wang;Ji-Feng Zhang;G.G. Yin.
IEEE Transactions on Automatic Control (2003)
System identification using binary sensors
Le Yi Wang;Ji-Feng Zhang;G.G. Yin.
IEEE Transactions on Automatic Control (2003)
System Identification with Quantized Observations
Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao.
(2010)
System Identification with Quantized Observations
Le Yi Wang;G. George Yin;Ji-Feng Zhang;Yanlong Zhao.
(2010)
Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control
Yang Zheng;Shengbo Eben Li;Keqiang Li;Le-Yi Wang.
IEEE Transactions on Control Systems and Technology (2016)
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