Song Zhu

ORCID: 0000-0001-5228-9406
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About
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Research Areas
  • Neural Networks Stability and Synchronization
  • Advanced Memory and Neural Computing
  • stochastic dynamics and bifurcation
  • Neural Networks and Applications
  • Distributed Control Multi-Agent Systems
  • Stability and Control of Uncertain Systems
  • Photonic and Optical Devices
  • Adaptive Control of Nonlinear Systems
  • Advanced Fiber Laser Technologies
  • Nonlinear Dynamics and Pattern Formation
  • Advanced Control Systems Optimization
  • Advanced Fiber Optic Sensors
  • Fault Detection and Control Systems
  • Control Systems and Identification
  • Stability and Controllability of Differential Equations
  • Mechanical and Optical Resonators
  • Machine Learning and ELM
  • Cooperative Communication and Network Coding
  • Iterative Learning Control Systems
  • Adaptive Dynamic Programming Control
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Advanced Wireless Communication Techniques
  • Matrix Theory and Algorithms
  • Chaos control and synchronization
  • Advanced Algorithms and Applications

China University of Mining and Technology
2016-2025

Jiangnan University
2022-2025

Xi'an Jiaotong University
2002-2024

National University of Malaysia
2024

CRRC (China)
2023

Southwest Jiaotong University
2023

State Key Laboratory of Electrical Insulation and Power Equipment
2022

Wuhan National Laboratory for Optoelectronics
2016-2022

Huazhong University of Science and Technology
2009-2022

Nanjing Tech University
2022

This paper formulates a class of complex-valued memristive neural networks as well investigates the problem anti-synchronization for networks. Under concept drive-response, several sufficient conditions guaranteeing are given by employing suitable Lyapunov functional and some inequality techniques. The proposed results this less conservative than existing literatures due to characteristics Moreover, easy be validated with parameters system itself. Finally, two examples numerical simulations...

10.1109/tcyb.2018.2812708 article EN IEEE Transactions on Cybernetics 2018-03-14

This paper studies one type of delayed memristor-based fractional-order neural networks (MFNNs) on the finite-time stability problem. By using method iteration, contracting mapping principle, theory differential inclusion, and set-valued mapping, a new criterion for existence uniqueness equilibrium point which is stable in finite time considered MFNNs established when order α satisfies 0 <; 1. Then, 1 2, basis generalized Gronwall inequality Laplace transform, sufficient condition ensuring...

10.1109/tcyb.2018.2876901 article EN IEEE Transactions on Cybernetics 2018-11-09

This article concentrates on the synchronization problem of memristive complex-valued neural networks (CVNNs) with time delays via pinning control method. Different from general schemes, is beneficial to reduce cost by fractional nodes instead all ones. By separating system into two equivalent real-valued systems and employing Lyapunov functional as well some inequality techniques, asymptotic criterion given guarantee realization CVNNs. Meanwhile, sufficient conditions for exponential...

10.1109/tcyb.2019.2946703 article EN IEEE Transactions on Cybernetics 2019-10-31

As a class of randomized learner model, stochastic configuration networks (SCNs) have been successfully applied in few data analytics tasks. Given the industrial big modeling tasks, however, original SCNs potentially lead to excessive training time. To this end, article extends hybrid parallel version, termed (HPSCNs). In learning algorithm, two are synchronously constructed. The difference between them is that one employs point-incremental and another adopts block-incremental algorithm....

10.1109/tii.2021.3096840 article EN IEEE Transactions on Industrial Informatics 2021-07-30

Microlaser with multiple lasing bands is critical in various applications, such as full-color display, optical communications, and computing. Here, we propose a simple efficient method for homogeneously doping rare earth elements into silica whispering-gallery microcavity. By this method, an Er-Yb co-doped microsphere cavity the highest quality (Q) factor (exceeding 108) among rare-earth-doped microcavities fabricated to demonstrate simultaneous stable covering ultraviolet, visible,...

10.1117/1.ap.4.4.046003 article EN cc-by Advanced Photonics 2022-07-09

This work studies the issue of global h-synchronization about high-order delayed inertial neural networks via a second-order response system (SORS) approach. Note that is flexible definition which can generalize different special synchronization types by choosing regulation function <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\hbar $ </tex-math></inline-formula> . By constructing function-dependent...

10.1109/tsmc.2023.3286095 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2023-07-10

This article is concerned with the mismatched quantized <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> output-feedback control of fuzzy Markov jump systems via a dynamic guaranteed cost triggering scheme. An event generator and quantizer are set up at sensor-to-controller side controller-to-actuator side, respectively. The quantization scheme presented in terms...

10.1109/tfuzz.2023.3330297 article EN IEEE Transactions on Fuzzy Systems 2023-11-08

This article investigates fault detection (FD) for discrete-time T–S fuzzy systems via an iterative interval estimation method. By means of system output and the unknown disturbances, two subsystems are employed to establish state reconstruction free faults. Resorting a structure separation technique <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> requirement...

10.1109/tsmc.2023.3290042 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2023-07-17

By using the fault-tolerant control method, synchronization of memristive neural networks (MNNs) subjected to multiple actuator failures is investigated in this article. The considered include effectiveness failure and lock-in-place failure, which are different from previous results. First all, mathematical expression inputs system given by introducing models above two types failures. Following, classes strategies, state feedback strategies event-triggered proposed some inequality techniques...

10.1109/tcyb.2024.3363470 article EN IEEE Transactions on Cybernetics 2024-09-01

Over recent years, online purchase platforms of fruits are increasingly emerged to advance the e-commerce development and improve quality human life. Unfortunately, we empirically observed that a lot enterprises selling have suffered from bankruptcy due complicated factors, such as inefficient logistics, low acceptance platforms, financial risks. One root causes responsible for an unanticipated phenomenon is related intention, which motivates us investigate what dominant factors affecting...

10.3389/fpsyg.2018.01521 article EN cc-by Frontiers in Psychology 2018-08-23

An all-optical tunable microlaser based on the ultrahigh-quality (Q)-factor erbium-doped hybrid microbottle cavity is proposed and experimentally demonstrated for first time. All-optical wavelength tunability of silica microcavity laser a very attractive feature has been rarely reported. By using an improved doping method, with Q factor 5.2 × 107 in 1550 nm band obtained, which higher than previous work conventional sol–gel method. Through nonresonant pump 980 band, lasing threshold 1.65 mW...

10.1021/acsphotonics.8b00838 article EN ACS Photonics 2018-07-16

This article attempts to address output synchronization and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> problems for multiple coupled complex networks (MOCCNs) under proportional-derivative (PD) proportional-integral (PI) controllers. Firstly, two classes of MOCCNs without with external disturbances are separately put forward. Secondly, based on the PD...

10.1109/tnse.2022.3147786 article EN IEEE Transactions on Network Science and Engineering 2022-02-15

This paper is concerned with finite-time synchronization and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> for coupled neural networks multiple state/derivative couplings. Firstly, several sufficient conditions are developed to guarantee the these two by using some inequality techniques. Secondly, based on Lyapunov functional, problems those respectively...

10.1109/tnse.2023.3243610 article EN IEEE Transactions on Network Science and Engineering 2023-02-17

This article is devoted to designing a novel aperiodic sampled-data-based event-triggered control strategy for Takagi–Sugeno fuzzy systems. First, via taking the structural features of subsystems and available information membership functions into consideration, an improved fuzzy-dependent adaptive mechanism, which designs different mechanisms corresponding subsystems, proposed provide extra design flexibility further optimize communication efficiency. Then, two-side looped-functional method...

10.1109/tfuzz.2023.3276818 article EN IEEE Transactions on Fuzzy Systems 2023-06-02

This article is devoted to data-driven event-triggered adaptive dynamic programming (ADP) control for nonlinear systems under input saturation. A global optimal law established by the ADP method with a modified index. Compared existing constant penalty factor, version constructed accelerate error convergence. new triggering mechanism covering results as special cases set up reduce redundant events caused emergent factors. The uniformly ultimate boundedness of system Lyapunov method. validity...

10.1109/tcyb.2023.3337779 article EN IEEE Transactions on Cybernetics 2023-12-20

Optofluidic lasers are currently of high interest for sensitive intracavity biochemical analysis. In comparison with conventional methods such as fluorescence and colorimetric detection, optofluidic provide a method amplifying small concentration differences in the gain medium, thus achieving sensitivity. Here, we report development an on-chip ELISA (enzyme-linked immunosorbent assay) laser platform that is able to complete assay short amount time sample/reagent volumes, large dynamic range,...

10.1021/acssensors.9b01795 article EN ACS Sensors 2019-12-12

Recently, dynamic memristor (DM)-cellular neural networks (CNNs) have received widespread attention due to their advantage of low power consumption. The previous works showed that DM-CNNs at most 318 equilibrium points (EPs) with n=16 cells. Since time delay is unavoidable during the process information transmission, goal this article research multistability delay, and, meanwhile, increase storage capacity DM-delay (D)CNNs. Depending on different constitutive relations memristors, two cases...

10.1109/tnnls.2021.3099814 article EN IEEE Transactions on Neural Networks and Learning Systems 2021-08-04

This paper focuses on distributed fixed-time tracking consensus and containment control problems of second-order multi-agent systems (MASs) with directed topology. To make the offline design convergence time estimation protocol for MASs possible, a novel nonsingular sliding-mode method is established by introducing time-varying scaling function in sliding surface. Subsequently, sufficient conditions ensuring are obtained using proposed method. The results show that estimated considered...

10.1109/tnse.2022.3217536 article EN IEEE Transactions on Network Science and Engineering 2022-11-04
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