Xiwei Liu

ORCID: 0000-0003-3165-443X
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Research Areas
  • Neural Networks Stability and Synchronization
  • Nonlinear Dynamics and Pattern Formation
  • Distributed Control Multi-Agent Systems
  • stochastic dynamics and bifurcation
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Online Learning and Analytics
  • Magnesium Alloys: Properties and Applications
  • Risk and Safety Analysis
  • Aluminum Alloys Composites Properties
  • Chaos control and synchronization
  • Occupational Health and Safety Research
  • Opinion Dynamics and Social Influence
  • Digital Transformation in Industry
  • Fault Detection and Control Systems
  • Crop Yield and Soil Fertility
  • Network Time Synchronization Technologies
  • Evacuation and Crowd Dynamics
  • Corrosion Behavior and Inhibition
  • Simulation and Modeling Applications
  • Manufacturing Process and Optimization
  • Rice Cultivation and Yield Improvement
  • Complex Network Analysis Techniques
  • Intelligent Tutoring Systems and Adaptive Learning
  • Cooperative Communication and Network Coding

Tongji University
2016-2025

Mohamed bin Zayed University of Artificial Intelligence
2024-2025

Lanzhou City University
2025

Institute of Automation
2013-2024

Chinese Academy of Sciences
2014-2024

Qingdao Academy of Intelligent Industries
2015-2024

Nara Institute of Science and Technology
2004-2024

Shandong Institute of Automation
2012-2024

Center for Excellence in Molecular Cell Science
2018-2024

Institute of Crop Sciences
2021-2024

In this paper, without assuming symmetry, irreducibility, or linearity of the couplings, we prove that a single controller can pin coupled complex network to homogenous solution. Sufficient conditions are presented guarantee convergence pinning process locally and globally. An effective approach adapt coupling strength is proposed. Several numerical simulations given verify our theoretical analysis.

10.1109/tcsi.2007.895383 article EN IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications 2007-06-01

In this note, synchronization for linearly coupled network is investigated by pinning a simple aperiodically intermittent controller. Nodes' dynamical behaviors in the are described continuous-time ordinary differential equations. Some sufficient conditions to guarantee global presented. Furthermore, an adaptive algorithm designed control gain and its validity also proved rigorously. Finally, numerical simulations given demonstrate correctness of obtained results.

10.1109/tac.2015.2416912 article EN IEEE Transactions on Automatic Control 2015-03-29

In this paper, we investigate the cluster synchronization problem for linearly coupled networks, which can be recurrently connected neural cellular Hodgkin-Huxley models, Lorenz chaotic oscillators, etc., by adding some simple intermittent pinning controls. We assume nodes in network to identical and coupling matrix asymmetric. Some sufficient conditions guarantee global are presented. Furthermore, a centralized adaptive control is introduced theoretical analysis provided. Then, applying...

10.1109/tnn.2011.2139224 article EN IEEE Transactions on Neural Networks 2011-05-17

In this paper, the finite-time and fixed-time cluster synchronization problem for complex networks with or without pinning control are discussed. Finite-time (or fixed-time) has been a hot topic in recent years, which means that network can achieve finite-time, settling time depends on initial values is bounded by constant any synchronization). To realize synchronization, some simple distributed protocols designed effectiveness rigorously proved. Several sufficient criteria also obtained to...

10.1109/tcyb.2016.2630703 article EN IEEE Transactions on Cybernetics 2016-12-06

In this paper, we investigate the exponential synchronization problem for linearly coupled networks with delay by pinning a simple aperiodically intermittent controller. The network topology can be directed. Different from previous works, control aperiodic. Two types of are considered. first case is that time-varying and large, in case, there no restriction imposed on (and/or rest) width. other one small enough so it less than minimum approaches provided to these two cases, some criteria...

10.1109/tnnls.2014.2383174 article EN IEEE Transactions on Neural Networks and Learning Systems 2015-01-06

In this paper, pinning synchronization problem for nonlinear coupled networks is investigated, which can be recurrently connected neural networks, cellular Hodgkin-Huxley models, Lorenz chaotic oscillators, and so on. Nodes in the network are assumed to identical nodes' dynamical behaviors described by continuous-time equations. The topology undirected static. At first, scope of accepted coupling functions defined, effect on carefully discussed. Then, control technique used synchronization,...

10.1109/tnnls.2014.2311838 article EN IEEE Transactions on Neural Networks and Learning Systems 2014-05-01

A cyber-physical system (CPS) is composed of a physical and its corresponding cyber systems that are tightly fused at all scales levels. CPS helpful to improve the controllability, efficiency reliability system, such as vehicle collision avoidance zero-net energy buildings systems. It has become hot R&D practical area from US EU other countries. In fact, most their designed, built used by human beings in social natural environments. So, must be same importance CPSs. The indivisible cyber,...

10.1109/jas.2015.7152667 article EN IEEE/CAA Journal of Automatica Sinica 2015-07-10

In this note, the consensus problem with infinite time-varying delays for linearly coupled static network is investigated. The delay affects only off-diagonal terms in continuous-time equations. At first, we define an effective ability index. Then, by using graph theory and a new concept of consensus, prove that under some mild conditions, can realize consensus. An example given to show validity obtained results.

10.1109/tac.2010.2054770 article EN IEEE Transactions on Automatic Control 2010-07-01

10.1016/j.physa.2008.03.005 article EN Physica A Statistical Mechanics and its Applications 2008-03-10

In this paper, we investigate the global exponential stability for complex-valued recurrent neural networks with asynchronous time delays by decomposing to real and imaginary parts construct an equivalent real-valued system. The network model is described a continuous-time equation. There are two main differences of paper previous works: 1) can be asynchronous, i.e., between different nodes different, which make our more general 2) prove convergence directly, while existence uniqueness...

10.1109/tnnls.2015.2415496 article EN IEEE Transactions on Neural Networks and Learning Systems 2015-04-10

The microstructure, mechanical properties, <italic>in vitro</italic> degradation behavior, hemocompatibility and cytotoxicity were tested to investigate Zn–1.2Mg alloy as a new biodegradable material.

10.1039/c6ra14300h article EN RSC Advances 2016-01-01

The cytoplasmic domain of PD-L1 (PD-L1-CD) regulates degradation and stability through various mechanism, making it an attractive target for blocking PD-L1-related cancer signaling. Here, by using NMR biochemical techniques we find that the membrane association PD-L1-CD is mediated electrostatic interactions between acidic phospholipids basic residues in N-terminal region. absence replacement with abolish association. Moreover, basic-to-acidic mutations also decrease cellular abundance...

10.1038/s41467-021-25416-7 article EN cc-by Nature Communications 2021-08-24
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