2023 - Research.com Computer Science in China Leader Award
2023 - Research.com Electronics and Electrical Engineering in China Leader Award
Zhigang Zeng spends much of his time researching Control theory, Artificial neural network, Exponential stability, Recurrent neural network and Memristor. His work on Stability as part of general Control theory research is frequently linked to Synchronization, thereby connecting diverse disciplines of science. His study in Artificial neural network is interdisciplinary in nature, drawing from both Landslide, Control theory and Hybrid system.
His Exponential stability research is multidisciplinary, relying on both Equilibrium point, Cellular neural network, Bounded function, Applied mathematics and Stability conditions. His studies in Recurrent neural network integrate themes in fields like Time delays and Content-addressable memory. The study incorporates disciplines such as Differential inclusion, Class, Adaptive control and Differential equation in addition to Memristor.
The scientist’s investigation covers issues in Artificial neural network, Control theory, Exponential stability, Memristor and Recurrent neural network. Zhigang Zeng works mostly in the field of Artificial neural network, limiting it down to topics relating to Applied mathematics and, in certain cases, Type, as a part of the same area of interest. The various areas that Zhigang Zeng examines in his Control theory study include Bounded function and Stability.
His Exponential stability study also includes
Artificial neural network, Control theory, Synchronization, Topology and Synchronization are his primary areas of study. His Artificial neural network study combines topics from a wide range of disciplines, such as Exponential stability, Lyapunov function, Applied mathematics and Memristor. His work deals with themes such as Initial value problem, Computer engineering, Content-addressable memory, Artificial intelligence and Synapse, which intersect with Memristor.
As part of his studies on Control theory, Zhigang Zeng often connects relevant subjects like Bounded function. His Synchronization research is multidisciplinary, incorporating elements of Mode, Differential inequalities, Stability theory, Time delays and Computer simulation. In the subject of general Topology, his work in Attractor is often linked to Network topology, thereby combining diverse domains of study.
Zhigang Zeng mainly investigates Artificial neural network, Control theory, Exponential stability, Synchronization and Memristor. When carried out as part of a general Artificial neural network research project, his work on Recurrent neural network and Activation function is frequently linked to work in Inertial frame of reference and Synchronization, therefore connecting diverse disciplines of study. Zhigang Zeng has included themes like Discrete mathematics, Equilibrium point, Piecewise linear function and Bounding overwatch in his Recurrent neural network study.
Zhigang Zeng has researched Control theory in several fields, including Bounded function and Fuzzy logic. His Exponential stability research is multidisciplinary, incorporating perspectives in Algebraic number, Numerical stability, Pseudorandom number generator, Applied mathematics and Differential inclusion. His biological study spans a wide range of topics, including Synapse, Content-addressable memory, Computer engineering and Arithmetic.
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Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
Jiejie Chen;Zhigang Zeng;Ping Jiang.
Neural Networks (2014)
Synchronization control of a class of memristor-based recurrent neural networks
Ailong Wu;Shiping Wen;Zhigang Zeng.
Information Sciences (2012)
Global exponential stability of a general class of recurrent neural networks with time-varying delays
Zhigang Zeng;Jun Wang;Xiaoxin Liao.
IEEE Transactions on Circuits and Systems I-regular Papers (2003)
Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays
Shiping Wen;Xinghuo Yu;Zhigang Zeng;Jinjian Wang.
IEEE Transactions on Industrial Electronics (2016)
Exponential Stabilization of Memristive Neural Networks With Time Delays
Ailong Wu;Zhigang Zeng.
IEEE Transactions on Neural Networks (2012)
Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators
Shiping Wen;Zhigang Zeng;Tingwen Huang;Yide Zhang.
IEEE Transactions on Fuzzy Systems (2014)
Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption
Shiping Wen;Zhigang Zeng;Tingwen Huang;Qinggang Meng.
IEEE Transactions on Neural Networks (2015)
Multistability of Recurrent Neural Networks With Time-varying Delays and the Piecewise Linear Activation Function
Zhigang Zeng;Tingwen Huang;Wei Xing Zheng.
IEEE Transactions on Neural Networks (2010)
Fuzzy Control for Uncertain Vehicle Active Suspension Systems via Dynamic Sliding-Mode Approach
Shiping Wen;Michael Z. Q. Chen;Zhigang Zeng;Xinghuo Yu.
systems man and cybernetics (2017)
Global Mittag–Leffler Stabilization of Fractional-Order Memristive Neural Networks
Ailong Wu;Zhigang Zeng.
IEEE Transactions on Neural Networks (2017)
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