About
Heng Liu was born in Linyi, Shandong Province, China in 1981. He received the B.S. degree and the M.S. degree in Mathematics from Southwest Jiaotong University, Chengdu, China in 2003 and 2006, respectively. He received the Ph.D. degree in Mathematics from Shaanxi Normal University, Xi’an, China in 2017.
Since 2020, he has been a professor with School of Science, Guangxi Minzu University, Nanning, China. Since 2017, he has been a postdoctoral student with School of Mathematics, Southeast University, Nanjing, China. He is the author of more than 100 articles. His research interests include stability analysis, nonlinear system, fractional-order system, sliding mode control, adaptive fuzzy control, neural network control, learning control.
Employment
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Guangxi Minzu University Professor2020 - Present
Education
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Shaanxi Normal University Ph D2014 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (475)
- Composite adaptive fuzzy self-triggered control for uncertain stochastic nonlinear systems with immeasurable states Save
- Bifurcation Analysis of a Fractional‐Order Differential Algebraic Predator‐Prey System Save
- Passivity and synchronization of fractional-order coupled neural networks with multiple weights: A PD approach Save
- Sampled-Data Event-Triggered Adaptive Fuzzy Bipartite Consensus for Fractional-Order Multiagent Systems With Unmeasurable States Save
- Multi-parametric bifurcations of a fractional neural network with multiple delays and inertial terms Save
- Convex Structures and Homomorphisms in Ordered Fuzzy Rings: An Algebraic Perspective Save
- Dynamic event-triggered prescribed-time observer via parametric Lyapunov equations Save
- System Modeling and Adaptive Fuzzy Synchronous Control of Fractional-Order Circuits Based on Event-Triggering Mechanism Save
- Non-separation and Non-reduction Predefined-Time Synchronization of Delayed Complex-Valued Fuzzy Discontinuous Inertial Neural Networks Save
- Adaptive Neural Network Iterative Learning PI Control of Fractional-Order Nonlinear Systems Using Generalized Barrier Lyapunov Function Save