2023 - Research.com Computer Science in United Kingdom Leader Award
2023 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
2022 - Research.com Computer Science in United Kingdom Leader Award
2022 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award
2020 - Member of Academia Europaea
2014 - IEEE Fellow For contributions to networked control and complex networks
His main research concerns Control theory, Stochastic process, Linear matrix inequality, Nonlinear system and Exponential stability. The concepts of his Control theory study are interwoven with issues in Artificial neural network, Filter and Random variable. His Stochastic process research includes elements of Probability distribution, Estimator, Probabilistic logic and Complex network.
His Linear matrix inequality research incorporates elements of MATLAB, Monotonic function, Kronecker product and Applied mathematics. His Nonlinear system research integrates issues from Control system, Markov process, Stability, Bernoulli's principle and Algebraic number. As a part of the same scientific study, Zidong Wang usually deals with the Exponential stability, concentrating on Lyapunov function and frequently concerns with Nonlinear control.
His scientific interests lie mostly in Control theory, Nonlinear system, Stochastic process, Filter and Estimator. His work is dedicated to discovering how Control theory, Upper and lower bounds are connected with Covariance and other disciplines. His work focuses on many connections between Stochastic process and other disciplines, such as Random variable, that overlap with his field of interest in Probability distribution.
Zidong Wang has included themes like Kalman filter, Algorithm and Wireless sensor network in his Filter study. His research integrates issues of Artificial neural network, State, Transmission, Bounded function and Complex network in his study of Estimator. His Exponential stability study combines topics from a wide range of disciplines, such as Robust control and Stability theory.
Zidong Wang mostly deals with Control theory, Algorithm, Estimator, Upper and lower bounds and Nonlinear system. His work on Discrete time and continuous time, Control theory and Exponential stability is typically connected to Convex optimization as part of general Control theory study, connecting several disciplines of science. In his study, Rate of convergence is inextricably linked to Benchmark, which falls within the broad field of Algorithm.
His work deals with themes such as Random variable, Artificial neural network, Stochastic process, State and Complex network, which intersect with Estimator. His study on Upper and lower bounds also encompasses disciplines like
His primary areas of study are Estimator, Control theory, Upper and lower bounds, Nonlinear system and Algorithm. He combines subjects such as Linear system, Stochastic process, State, Symmetric matrix and Complex network with his study of Estimator. His Stochastic process research includes themes of Bernoulli's principle and Mathematical optimization.
The concepts of his Control theory study are interwoven with issues in Artificial neural network, Transmission and Bounded function. His studies deal with areas such as Covariance and Filter as well as Upper and lower bounds. His work carried out in the field of Nonlinear system brings together such families of science as Control theory, Markov chain and Optimal control.
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A survey of deep neural network architectures and their applications
Weibo Liu;Zidong Wang;Xiaohui Liu;Nianyin Zeng.
H/sub /spl infin// control for networked systems with random communication delays
Fuwen Yang;Zidong Wang;Y.S. Hung;M. Gani.
IEEE Transactions on Automatic Control (2006)
Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
Yurong Liu;Zidong Wang;Xiaohui Liu.
Neural Networks (2006)
Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements
Zidong Wang;Fuwen Yang;D.W.C. Ho;Xiaohui Liu.
IEEE Transactions on Signal Processing (2006)
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Yurong Liu;Zidong Wang;Jinling Liang;Xiaohui Liu.
systems man and cybernetics (2008)
Global Synchronization for Discrete-Time Stochastic Complex Networks With Randomly Occurred Nonlinearities and Mixed Time Delays
Zidong Wang;Yao Wang;Yurong Liu.
IEEE Transactions on Neural Networks (2010)
Brief paper: H∞ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities
Zidong Wang;Yurong Liu;Xiaohui Liu.
Brief paper: Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case
Bo Shen;Zidong Wang;Y. S. Hung.
On global asymptotic stability of neural networks with discrete and distributed delays
Zidong Wang;Yurong Liu;Xiaohui Liu.
Physics Letters A (2005)
Robust H∞ control for networked systems with random packet losses
Zidong Wang;Fuwen Yang;Daniel W. C. Ho;Xiaohui Liu.
systems man and cybernetics (2007)
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