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Wendong Xiao
Researcher at University of Science and Technology Beijing
Publications - 174
Citations - 3482
Wendong Xiao is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Wireless sensor network & Extreme learning machine. The author has an hindex of 28, co-authored 157 publications receiving 2908 citations. Previous affiliations of Wendong Xiao include Institute for Infocomm Research Singapore & Nanyang Technological University.
Papers
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Brief paper: Optimal linear estimation for systems with multiple packet dropouts
TL;DR: The optimal linear estimators including filter, predictor and smoother are developed via an innovation analysis approach based on a packet dropout model and computed recursively in terms of a Riccati difference equation of dimension equal to the order of the system state plus that of the measurement output.
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Energy-Efficient Distributed Adaptive Multisensor Scheduling for Target Tracking in Wireless Sensor Networks
TL;DR: Simulation results show that the proposed adaptive multisensor scheduling scheme can achieve superior energy efficiency and tracking reliability while satisfying the tracking accuracy requirement, and is also robust to the uncertainty of the process noise.
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Adaptive Dynamic Programming for a Class of Complex-Valued Nonlinear Systems
TL;DR: An optimal control scheme based on adaptive dynamic programming (ADP) is developed to solve infinite-horizon optimal control problems of continuous-time complex-valued nonlinear systems and a new performance index function is established on the basis ofcomplex-valued state and control.
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Non-iterative and Fast Deep Learning: Multilayer Extreme Learning Machines
TL;DR: A thorough review on the development of ML-ELMs, including stacked ELM autoencoder, residual ELM, and local receptive field based ELM (ELM-LRF), as well as address their applications, and the connection between random neural networks and conventional deep learning.
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Optimal Filtering for Systems With Multiple Packet Dropouts
TL;DR: An unbiased optimal filter is developed in the linear least-mean-square sense, whose solution depends on the recursion of a Riccati equation and a Lyapunov equation.