His main research concerns Control theory, Control theory, Fuzzy control system, Bounded function and Nonlinear system. His research investigates the connection between Control theory and topics such as Artificial neural network that intersect with issues in Interval. Jianwei Xia focuses mostly in the field of Fuzzy control system, narrowing it down to matters related to Backstepping and, in some cases, Control system.
His Fuzzy logic research extends to the thematically linked field of Nonlinear system. His Lyapunov function study combines topics in areas such as Markovian jump and Adaptive system. His study in Linear matrix is interdisciplinary in nature, drawing from both Stability, State vector, Applied mathematics and Stability conditions.
Jianwei Xia mainly investigates Control theory, Control theory, Nonlinear system, Artificial neural network and Fuzzy logic. His Control theory research integrates issues from State and Interval. Jianwei Xia works mostly in the field of Interval, limiting it down to topics relating to Matrix and, in certain cases, Mathematical optimization and Upper and lower bounds.
His research in Control theory intersects with topics in Control system, Bounded function and Actuator. His Artificial neural network research also works with subjects such as
His primary areas of investigation include Control theory, Control theory, Fuzzy logic, Nonlinear system and Fuzzy control system. Control theory and Artificial neural network are commonly linked in his work. As part of one scientific family, Jianwei Xia deals mainly with the area of Control theory, narrowing it down to issues related to the Lyapunov function, and often Hidden Markov model.
His Nonlinear system research is multidisciplinary, relying on both Singular perturbation and Interval. His studies deal with areas such as Event triggered and Adaptive system as well as Fuzzy control system. His Backstepping research incorporates elements of Tracking error and Bounded function.
The scientist’s investigation covers issues in Control theory, Control theory, Fuzzy logic, Fuzzy control system and Nonlinear system. He has included themes like Mechatronics and Constant in his Control theory study. In the field of Control theory, his study on Sliding mode control and Lyapunov stability overlaps with subjects such as Convex optimization and Electric power system.
The various areas that he examines in his Fuzzy logic study include Function, Optimization problem, Domain and Corollary. His Fuzzy control system study which covers Adaptive system that intersects with Control system, State variable, Tracking error and Bounded function. His Nonlinear system research is multidisciplinary, relying on both Singular perturbation and Interval.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Extended dissipative analysis of generalized Markovian switching neural networks with two delay components
Jianwei Xia;Guoliang Chen;Wei Sun.
Neurocomputing (2017)
Improved delay-dependent stability criteria for T–S fuzzy systems with time-varying delay
Hong-Bing Zeng;Hong-Bing Zeng;Ju H. Park;Jian-Wei Xia;Jian-Wei Xia;Shen-Ping Xiao.
Applied Mathematics and Computation (2014)
Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints
Jianwei Xia;Jing Zhang;Wei Sun;Baoyong Zhang.
IEEE Transactions on Systems, Man, and Cybernetics (2019)
Delay-dependent stability and dissipativity analysis of generalized neural networks with Markovian jump parameters and two delay components
Guoliang Chen;Jianwei Xia;Guangming Zhuang.
Journal of The Franklin Institute-engineering and Applied Mathematics (2016)
Non-fragile finite-time extended dissipative control for a class of uncertain discrete time switched linear systems
Jianwei Xia;Hui Gao;Mingxin Liu;Guangming Zhuang.
Journal of The Franklin Institute-engineering and Applied Mathematics (2018)
Adaptive Fuzzy Control With High-Order Barrier Lyapunov Functions for High-Order Uncertain Nonlinear Systems With Full-State Constraints
Wei Sun;Shun-Feng Su;Yuqiang Wu;Jianwei Xia.
IEEE Transactions on Systems, Man, and Cybernetics (2020)
Finite-time synchronization for complex dynamic networks with semi-Markov switching topologies: An H∞ event-triggered control scheme
Jing Wang;Tingting Ru;Jianwei Xia;Yunliang Wei.
Applied Mathematics and Computation (2019)
Finite-time non-fragile l2−l∞ control for jumping stochastic systems subject to input constraints via an event-triggered mechanism
Zhen Wang;Liang Shen;Jianwei Xia;Hao Shen.
Journal of The Franklin Institute-engineering and Applied Mathematics (2018)
Event-triggered passive synchronization for Markov jump neural networks subject to randomly occurring gain variations
Mingcheng Dai;Jianwei Xia;Huang Xia;Hao Shen.
Neurocomputing (2019)
Nonfragile Finite-Time Extended Dissipative Control for a Class of Uncertain Switched Neutral Systems
Hui Gao;Jianwei Xia;Guangming Zhuang;Zhen Wang.
Complexity (2017)
University of North Carolina at Chapel Hill
Yeungnam University
Nanjing University of Science and Technology
National Taiwan University of Science and Technology
Hunan University of Technology
Nanjing University of Science and Technology
Southeast University
Zhejiang University
Shandong Normal University
Istanbul University
Profile was last updated on December 6th, 2021.
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