Jianquan Lu mainly investigates Control theory, Synchronization, Artificial neural network, Complex network and Interval. Jianquan Lu has included themes like Structure, Algebraic number and Differential equation in his Control theory study. His Synchronization research includes themes of Chaotic, Small-world network, Lyapunov stability and Stability.
His Artificial neural network study integrates concerns from other disciplines, such as Decomposition method, Quaternion, Random variable and Constant. His work in Complex network tackles topics such as Topology which are related to areas like Boolean circuit, Boolean network, Circuit minimization for Boolean functions, State and And-inverter graph. His Interval research integrates issues from Stochastic process, Sequence, Fraction and Lyapunov function.
Jianquan Lu focuses on Control theory, Topology, Synchronization, Artificial neural network and Product. The concepts of his Control theory study are interwoven with issues in Interval, Stability and Complex network. His study in Topology is interdisciplinary in nature, drawing from both Matrix, Multi-agent system, Boolean network and Bipartite graph.
The various areas that Jianquan Lu examines in his Synchronization study include Structure, Stochastic process, Chaotic, Simple and Sequence. The study incorporates disciplines such as Impulse and Stability in addition to Artificial neural network. His Product study combines topics in areas such as Control, State, Controllability and Algebraic number.
Jianquan Lu spends much of his time researching Control theory, Topology, Artificial neural network, Probabilistic logic and Control theory. His work deals with themes such as Control, Interval, Stability and Synchronization, which intersect with Control theory. Jianquan Lu focuses mostly in the field of Topology, narrowing it down to topics relating to Bipartite graph and, in certain cases, Multi-agent system.
His work in Artificial neural network addresses subjects such as Impulse, which are connected to disciplines such as Logarithm. His studies deal with areas such as Time complexity, Algorithm, Finite time and Product as well as Probabilistic logic. His research in Control theory intersects with topics in Computational complexity theory, Banach fixed-point theorem, Fuzzy cellular neural networks, Leakage and Exponential function.
The scientist’s investigation covers issues in Control theory, Topology, Probabilistic logic, Artificial neural network and Synchronization. His research integrates issues of Sequence and Invariant in his study of Control theory. He has researched Topology in several fields, including Digraph and Boolean function.
His Probabilistic logic research incorporates themes from Finite time, Stability, Control, Vertex and Product. Jianquan Lu interconnects Synchronizing, Differential inequalities and Interval in the investigation of issues within Artificial neural network. His Interval research is multidisciplinary, incorporating perspectives in Order and Nonlinear system.
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Adaptive synchronization of neural networks with or without time-varying delay.
Jinde Cao;Jianquan Lu.
Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy
Jianquan Lu;J. Kurths;Jinde Cao;Nariman Mahdavi.
IEEE Transactions on Neural Networks (2012)
Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances
Jianquan Lu;D W C Ho;Jinde Cao;J Kurths.
IEEE Transactions on Neural Networks (2011)
Stochastic Synchronization of Complex Networks With Nonidentical Nodes Via Hybrid Adaptive and Impulsive Control
Xinsong Yang;Jinde Cao;Jianquan Lu.
IEEE Transactions on Circuits and Systems I-regular Papers (2012)
Adaptive complete synchronization of two identical or different chaotic (hyperchaotic) systems with fully unknown parameters.
Jianquan Lu;Jinde Cao.
Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers
Jianquan Lu;D.W.C. Ho;Zidong Wang.
IEEE Transactions on Neural Networks (2009)
Globally Exponential Synchronization and Synchronizability for General Dynamical Networks
Jianquan Lu;D.W.C. Ho.
systems man and cybernetics (2010)
Adaptive synchronization of uncertain dynamical networks with delayed coupling
Jianquan Lu;Jianquan Lu;Jinde Cao.
Nonlinear Dynamics (2008)
On Pinning Controllability of Boolean Control Networks
Jianquan Lu;Jie Zhong;Chi Huang;Jinde Cao.
IEEE Transactions on Automatic Control (2016)
Single impulsive controller for globally exponential synchronization of dynamical networks
Jianquan Lu;Jianquan Lu;Daniel W.C. Ho;Jinde Cao;Jürgen Kurths;Jürgen Kurths;Jürgen Kurths.
Nonlinear Analysis-real World Applications (2013)
Profile was last updated on December 6th, 2021.
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