Chong Lin spends much of his time researching Control theory, Fuzzy control system, Nonlinear system, Fuzzy logic and Control theory. In Control theory, Chong Lin works on issues like Artificial neural network, which are connected to Stability criterion and Exponential stability. His Fuzzy control system course of study focuses on Fuzzy set and Numerical stability.
His Nonlinear system research is multidisciplinary, incorporating elements of Control and Bounded function. Chong Lin combines subjects such as Control system and Mathematical optimization with his study of Fuzzy logic. The Control theory study combines topics in areas such as Observer, Function and System identification.
His primary areas of investigation include Control theory, Nonlinear system, Backstepping, Fuzzy control system and Fuzzy logic. His work carried out in the field of Control theory brings together such families of science as Artificial neural network and Bounded function. His research investigates the connection between Nonlinear system and topics such as Observer that intersect with problems in Lipschitz continuity.
The concepts of his Backstepping study are interwoven with issues in Compensation, Tracking, Tracking error, State observer and Adaptive system. In his study, Linear system is inextricably linked to Linear matrix inequality, which falls within the broad field of Fuzzy control system. His Fuzzy logic research incorporates themes from Discrete time and continuous time and Mathematical optimization.
Chong Lin mainly focuses on Control theory, Nonlinear system, Backstepping, Artificial neural network and Fuzzy control system. The various areas that he examines in his Control theory study include Tracking and Multi-agent system. The study incorporates disciplines such as Stability and Fuzzy logic in addition to Nonlinear system.
His Fuzzy logic study incorporates themes from Bilinear matrix inequality and Discrete time and continuous time. His Backstepping research includes themes of Bounded function and Compensation. As a part of the same scientific study, Chong Lin usually deals with the Fuzzy control system, concentrating on Time derivative and frequently concerns with Upper and lower bounds and Topology.
Chong Lin focuses on Nonlinear system, Control theory, Backstepping, Artificial neural network and Fuzzy control system. His work deals with themes such as Observer and Singular systems, Applied mathematics, which intersect with Nonlinear system. His Applied mathematics study combines topics in areas such as Linear matrix inequality, Control theory and Lipschitz continuity.
His Control theory study frequently links to other fields, such as Control. His Backstepping study also includes fields such as
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Technical communique: Delay-range-dependent stability for systems with time-varying delay
Yong He;Qing-Guo Wang;Chong Lin;Min Wu.
Further Improvement of Free-Weighting Matrices Technique for Systems With Time-Varying Delay
Yong He;Qing-Guo Wang;Lihua Xie;Chong Lin.
IEEE Transactions on Automatic Control (2007)
Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems
Bing Chen;Xiaoping Liu;Kefu Liu;Chong Lin.
Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints
Huanqing Wang;Bing Chen;Xiaoping Liu;Kefu Liu.
IEEE Transactions on Systems, Man, and Cybernetics (2013)
A less conservative robust stability test for linear uncertain time-delay systems
Chong Lin;Qing-Guo Wang;Tong Heng Lee.
IEEE Transactions on Automatic Control (2006)
Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems
Bing Chen;Xiaoping Liu;Kefu Liu;Chong Lin.
Brief paper: Observer-based networked control for continuous-time systems with random sensor delays
Chong Lin;Zidong Wang;Fuwen Yang.
Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Bing Chen;X. P. Liu;S. S. Ge;Chong Lin.
IEEE Transactions on Fuzzy Systems (2012)
Augmented Lyapunov functional and delay-dependent stability criteria for neutral systems
Yong He;Yong He;Qing-Guo Wang;Chong Lin;Min Wu.
International Journal of Robust and Nonlinear Control (2005)
Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems
Fang Wang;Bing Chen;Chong Lin;Jing Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2018)
Profile was last updated on December 6th, 2021.
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