Xiangli Li

ORCID: 0000-0003-1077-0730
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About
Contact & Profiles
Research Areas
  • Control Systems and Identification
  • Fault Detection and Control Systems
  • Neural Networks and Applications
  • Iterative Learning Control Systems
  • Advanced Adaptive Filtering Techniques
  • Advanced Clustering Algorithms Research
  • Structural Health Monitoring Techniques
  • Advanced Algorithms and Applications
  • Advanced Control Systems Optimization
  • Photovoltaic System Optimization Techniques
  • Advanced DC-DC Converters
  • Microgrid Control and Optimization
  • Advanced Sensor and Control Systems
  • Mobile Ad Hoc Networks
  • Advanced Decision-Making Techniques
  • Data Management and Algorithms
  • Data Mining Algorithms and Applications
  • Embedded Systems and FPGA Design
  • Opportunistic and Delay-Tolerant Networks
  • Power Systems and Renewable Energy
  • Blind Source Separation Techniques
  • Face and Expression Recognition
  • stochastic dynamics and bifurcation
  • Advancements in Semiconductor Devices and Circuit Design
  • Multilevel Inverters and Converters

Changshu Institute of Technology
2015-2024

Zhengzhou University
2007-2024

Wuhan University
2024

Beijing University of Technology
2020-2021

Yanshan University
2011-2019

Zhongkai University of Agriculture and Engineering
2019

Luliang University
2015

Xuchang University
2015

Jiangnan University
2006-2014

Wuxi Institute of Technology
2009-2014

Agriculture is one of the main economic industries a country. Application information technologies in agriculture, smart aims to realize precision control irrigation, fertilizer, diseases, and insect pests prevention growing crops. For sake obtaining interest data, wireless sensor networks (WSNs) are used collect data farm field send obtained servers via communication. Since WSNs usually operate unlicensed spectrum, available resource elements (REs) scarce especially when large number nodes...

10.1109/access.2019.2924917 article EN cc-by IEEE Access 2019-01-01

Maximum power point tracking for PV systems traditionally uses either perturbation and observation method or incremental conductance method. Both methods require modulation of the output voltage this leads to significant loss. In paper, a method, which senses circuit short current use above two parameters optimum control with fuzzy controller, is introduced. The cell represents illumination, carry on information about temperature.

10.1109/iecon.2002.1182924 article EN 2003-11-04

10.1016/j.engappai.2024.108518 article EN Engineering Applications of Artificial Intelligence 2024-05-01

10.1016/j.apm.2013.03.005 article EN publisher-specific-oa Applied Mathematical Modelling 2013-03-30

Abstract In this study we present a new method to prepare organic–inorganic hybrid polyvinylidene fluoride (PVDF)/Al2O3 membranes via in situ polymerization of aluminum isopropoxide (AIP) using the sol–gel process. FTIR analysis showed existence Al membrane when AIP was added casting solution. The effects on performances were investigated. results that pure water flux and bovine serum albumin (BSA) rejection increased firstly then decreased with increasing content. When content 12 wt.%,...

10.1080/19443994.2013.781986 article EN Desalination and Water Treatment 2013-05-01

This paper focuses on the identification problem of Wiener nonlinear systems. The application key-term separation principle provides a simplified form estimated parameter model. To solve systems with unmeasurable variables in information vector, least-squares-based iterative algorithm is presented by replacing vector their corresponding estimates. simulation results indicate that proposed effective.

10.1155/2013/565841 article EN cc-by Journal of Applied Mathematics 2013-01-01

This paper focuses on identification problems for Hammerstein systems with non-uniform sampling. By using the over-parameterization technique, we derive a linear regressive model different input updating rates. To solve problem of output error unmeasurable variables in information vector, least-squares-based iterative algorithm is presented by replacing their corresponding estimates. The performances proposed are analysed and compared numerical example.

10.1080/00207160.2012.758364 article EN International Journal of Computer Mathematics 2013-01-03

To meet the need of extracting cluster boundary from mixed attribute data in field analysis, we propose a detection algorithm for sets this research, named CHASM (Cluster Boundary Detection Algorit

10.3233/ida-150792 article EN Intelligent Data Analysis 2016-01-18

The harmonic parameter identification and modelling problem for power signals are studied. In order to model signals, the multi-innovation stochastic gradient (MI-SG) is derived based on theory. proposed MI-SG algorithm repeatedly uses past innovations by expanding scalar innovation vector can obtain more accurate estimates than algorithm. Finally, simulation results indicate that effective has a close estimation accuracy compared with fast Fourier transform analysis.

10.1049/iet-spr.2015.0280 article EN IET Signal Processing 2016-04-11

Trucks have the problems of frequent braking and long-term during long-slope transportation. As temperature traditional eddy current retarder is as high 500 °C braking, torque seriously degraded. According to principle thermal effect, this paper proposes an in which both stator excitation coil are water-cooled. The multi-field coupling bidirectional data transmission model field, field transient electromagnetic established. relationship between working time analyzed under continuous...

10.1109/access.2021.3058243 article EN cc-by IEEE Access 2021-01-01

10.1016/j.aml.2013.02.012 article EN publisher-specific-oa Applied Mathematics Letters 2013-04-06

The balance of neighborhood space around a central point is an important concept in cluster analysis. It can be used to effectively detect boundary objects. existing analysis methods focus on the distribution data, i.e., analyzing characteristic from single perspective, and could not obtain rich data characteristics. In this paper, we analyze high-dimensional multiple perspectives. By simulating each dimension point's k nearest neighbors ( NNs) as lever, apply lever principle compute fulcrum...

10.1109/tnnls.2018.2874458 article EN IEEE Transactions on Neural Networks and Learning Systems 2018-10-31

Abstract A one-cycle controlled single-phase full-bridge DC-AC inverter is proposed. One-cycle control a nonlinear method which has fast transient response and good tracking performance. The immunizes the against perturbation of input dc bus provides well system dynamic regulation with hybrid sinusoidal PWM control. basic operational theory are discussed in this paper. Finally, simulation waveforms experimental results given. demonstrate effectiveness technique for inverters UPS...

10.1016/j.phpro.2012.03.198 article EN Physics Procedia 2012-01-01

For the grid-connected photovoltaic inverters, switching-frequency common-mode voltage brings leakage current, which should be eliminated. So far, many kinds of single-phase inverters have been published for this purpose, but most them are conventional voltage-type ones, disadvantages poor reliability due to DC-link electrolytic capacitor and risk short-through bridge switches. To solve technical issue, a novel current source inverter with AC-side clamping is proposed mitigate voltage....

10.3390/electronics8111296 article EN Electronics 2019-11-06

This paper focuses on the identification problem of Hammerstein nonlinear systems with nonuniform sampling. Using key-term separation principle, we present a discrete model sampling input and output data based frame period. To estimate parameters presented model, an auxiliary model-based recursive least-squares algorithm is derived by replacing unmeasurable variables in information vector their corresponding estimates. The simulation results show effectiveness proposed algorithm.

10.1155/2013/240929 article EN Mathematical Problems in Engineering 2013-01-01
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