- Adaptive Control of Nonlinear Systems
- Advanced Algorithms and Applications
- Adaptive Dynamic Programming Control
- Network Security and Intrusion Detection
- Anomaly Detection Techniques and Applications
- Stability and Controllability of Differential Equations
- Guidance and Control Systems
- Fault Detection and Control Systems
- Internet Traffic Analysis and Secure E-voting
- Corporate Finance and Governance
- Control and Dynamics of Mobile Robots
- Fluid dynamics and aerodynamics studies
- Advanced Control Systems Optimization
- Grouting, Rheology, and Soil Mechanics
- DNA and Biological Computing
- Electromagnetic Launch and Propulsion Technology
- Maritime Navigation and Safety
- Image and Object Detection Techniques
- Neural Networks Stability and Synchronization
- Industrial Technology and Control Systems
- Advanced Wireless Communication Techniques
- Advanced Computational Techniques and Applications
- Mathematical and Theoretical Epidemiology and Ecology Models
- Pharmacological Effects and Assays
- Landfill Environmental Impact Studies
Shenyang University of Chemical Technology
2010-2024
Sun Yat-sen University
2024
Qilu Hospital of Shandong University
2023
Shandong University
2022
Nanjing Normal University
2012-2018
Northeastern University
2015-2017
Harbin Institute of Technology
2008
Naval University of Engineering
2006
The pathogenesis of oral lichen planus (OLP) remains unclear, and microbial dysbiosis has been proposed to play a role in the OLP. Oral mucosal swabs from 77 OLP patients 76 healthy subjects were collected. bacterial community among lesion, adjacent normal mucosal, surface people analyzed by 16S sequencing. factor gender age that may affect flora distribution explored. Results indicate no significant difference microbiota between group. Compared with group, Neisseria, Haemophilus,...
Summary Network intrusion detection system (NIDS) is a key component to identify abnormal behavior of network systems and plays an important role in preventing the occurrence attacks. Although considerable number machine learning methods have been applied field detection, it still challenge for existing solutions achieve good classification performance. The traffic datasets generally redundant irrelevant features, which hinder classifiers from making more accurate predictions. Furthermore,...
One new approach for detection tank level is investigated based on the auto-adaptive double-threshold Canny operator, considering IR imaging of and aiming at problem level. Edge operator can set automatically, according to different gray gradient histogram's feature, instead traditional in which should be artificially, avoid loss edge information especially liquid level's because improper artificial selection. In process picking up information, it analyze number horizontal stripes, get their...
How to use the pay contract encourage executives implement innovation activities has become an important issue be solved by theoretical and practical circles. Based on data of Shanghai Shenzhen A-share listed companies from 2006 2015, this paper examines impact external compensation gap corporate innovation, further discusses contextual effects executive talent property rights. The study finds that a positive effect enterprise innovation. Moreover, higher possess, more obvious will promote...
We investigate the tracking control problem for a non-strict feedback nonlinear system with external disturbance and time-varying asymmetric full state constraints. Firstly, unknown term in are estimated by fuzzy logic system. The backstepping method is applied to design of adaptive controller. However, prevent that constraints overstepped introducing an improved log-type barrier Lyapunov function (TABLF) each step design. Secondly, dynamic surface (DSC) introduced designed algorithm solve...
The consolidation properties of soil-bentonite (SB) backfills containing 20% the weight sodium-hexametaphosphate-modified calcium bentonite (SHMP-20CaB) and prepared with 0 mM to 1000 chloride (CaCl2) solution were evaluated. results indicated that both stress CaCl2 concentration had significant effects on behaviors SHMP-20CaB backfill. In general, an increase in resulted a decrease void ratio (e) coefficient volume change (mv), alongside (cv). increased yielded dropped ratio, nonlinear...
Summary This article proposes an adaptive prescribed performance tracking control methodology for a class of strict‐feedback Multiple Inputs and Outputs nonlinear systems. A combination backstepping technique the generalized fuzzy hyperbolic model was used in recursive design controller. novel constraint function guarantees performance. Lyapunov stability analysis proves that designed controller can ensure predefined transient all signals within closed‐loop systems are semiglobally uniformly...
Abstract Intrusion detection has become a research focus in internet information security, with deep learning algorithms playing crucial role its development. Typically, intrusion data are transformed into two-dimensional matrix by segmenting, stacking and padding them zeros for input models. However, this method consumes computational resources fails to consider the correlation between features. In paper, we transform images through visualization operations propose an entropy weighted...
Abstract With the rapid spread of Internet Vehicles (IoV) technology, vehicle network security is facing increasingly severe challenges. Intrusion detection technology has become a crucial tool for ensuring information IoV. Since traffic data IoV large and spatio-temporal characteristics, most previous studies are based on single deep learning method to extract temporal or spatial features, which does not fully features data. To address above issues, feature extraction model with selection...
An event-triggered-based adaptive fuzzy control strategy is proposed for full state constraints nonlinear systems against time-varying disturbance, non-strict feedback structure, and input delay in this paper. Fuzzy logic (FLSs) are implemented to estimate the unknown functions systems. The influence of can be compensated by method Pade approximation, barrier Lyapunov function (BLF) exploited handle problem constraints. input-to-state stability (ISS) assumption regarding measurement errors...
This paper presents an artificial neural network (ANN) model for the prediction of melt rate improved Vibrating-electrode Electroslag Remelting (VESR) process, optimization proposed ANN with respect to different train algorithms, transfer function, and number hidden layer neurons is performed. The comprehensive analysis error correlation coefficient shows that resulted reasonable, has a better generalization accuracy.
An adaptive fault-tolerant control method considering actuator fault is proposed for a class of strict-feedback nonlinear time-delay systems. The prescribed performance introduced by error transformation, which guarantees the transient system. Pade approximation and intermediate variables are used to eliminate effect input delay on system performance. universal nature fuzzy logic systems approximate unknown function in A general model describe partial stuck that may occur during operation...
Abstract We investigate the tracking control problem for class of non-strict feedback nonlinear system with external disturbance and time-varying asymmetric full state constraints. Firstly, unknown term in are estimated by fuzzy logic system. The backstepping method is applied to design adaptive controller. However, prevent that constraints overstepped. By introducing novel tan-type barrier Lyapunov function (TABLF) each step design. Secondly, dynamic surface (DSC) introduced algorithm solve...