A5003260108- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Control Systems and Identification
- Adaptive Control of Nonlinear Systems
- Advanced Computational Techniques and Applications
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Spectroscopy and Chemometric Analyses
- Robotics and Sensor-Based Localization
- Advanced Adaptive Filtering Techniques
- Power Systems and Renewable Energy
- Simulation and Modeling Applications
- Sensorless Control of Electric Motors
- Industrial Automation and Control Systems
- Structural Health Monitoring Techniques
- Lexicography and Language Studies
- Iterative Learning Control Systems
- Wireless Sensor Networks and IoT
- Advanced Image and Video Retrieval Techniques
- Indoor and Outdoor Localization Technologies
- Energy Efficient Wireless Sensor Networks
Wuhan University
2003-2025
Harbin Engineering University
2025
Northeastern University
2024
Jiangnan University
2015-2024
Northeast Petroleum University
2024
China Southern Power Grid (China)
2009-2024
Shenzhen Polytechnic
2007-2024
Guizhou Electromechanical Research and Design Institute
2024
Huzhou University
2023
Fujian Electric Power Survey & Design Institute
2023
Summary Multiple‐input multiple‐output (MIMO) models are widely used in practical engineering. This article derives a new identification model of the MIMO system by decomposing into several multiple‐input single‐output subsystems. By means auxiliary idea, an model‐based recursive least squares (AM‐RLS) algorithm is derived for identifying systems. In order to reduce computational burden systems, this presents hierarchical applying principle, (AM‐HLS) proposed improving efficiency. The...
Since Edwin Halls groundbreaking discovery of the Hall effect in 1879, magnetism, spin, and quantization have been expanding scope effects, continuously driving transformative progress science technology. Among them, latest nonlinear (NLHE), where longitudinal electric field tunes quantum geometry to generate voltage, attracts wide attention as a sensitive probe topological phases across range materials. Here, we report new member: magnetic (MNLHE), characterized by quadratic conductivity...
Modular multilevel converter–high-voltage direct current (MMC-HVDC) systems are a key technology for integrating large-scale offshore wind farms due to their flexibility, controllability, and decoupled active reactive power characteristics. However, rely on electronic converters, resulting in low inertia, which can worsen frequency fluctuations affect system stability during major disturbances. Additionally, the control of MMC-HVDC limits farms’ inertia contribution AC grid, exacerbating...
With the deployment of fifth-generation (5G) mobile communication technology and rapid advancements in artificial intelligence edge computing, smart construction sites have emerged as a critical direction for industry’s transformation upgrading. However, existing intelligent Internet Things (IoT) access algorithms often struggle to simultaneously meet practical requirements high-efficiency data transmission rates, low latency, secure privacy-aware dynamic complex environments sites. To...
Abstract The X unhua, G uide and T ongren intermontane basin system in the NE ibetan P lateau, situated near ining to N L inxia E, is bounded by thrust fault‐controlled ranges. These include N, R iyue S han, aji han J ishi ranges, northern West Q inling ( NWQ ). An integrated study of structural geology, sedimentology provenance C enozoic unhua basins provides a detailed record growth lateau since early E ocene. roup ca . 52–21 Ma) interpreted as consisting unified foreland deposits which...
Abstract Considering the insufficient global energy consumption optimization of existing routing algorithms for Underwater Wireless Sensor Network (UWSN), a new algorithm, named improved energy-balanced (IEBR), is designed in this paper UWSN. The algorithm includes two stages: establishment and data transmission. During first stage, mathematical model constructed transmission distance to find neighbors at optimal distances underwater network links are established. In addition, IEBR will...
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.
Abstract The identification of multiple‐input multiple‐output (MIMO) systems is an important part designing complex control systems. This article studies auxiliary model least squares iterative (AM‐LSI) algorithm for MIMO With the expansion system scale and limitations computer resources, there urgent need that provides higher computational efficiency. To address this issue, further derives a hierarchical proposes new (AM‐HLSI) by applying principle. Through analysis efficiency, AM‐HLSI has...
Abstract Simultaneous localization and mapping (SLAM) is considered to be an important way for some smart devices perform automatic path planning, many successful SLAM systems have been developed in the past few years. Most existing approaches rely heavily on static world assumptions, such strong assumptions limit application of most vSLAM (visual SLAM) complex dynamic reality environments, where objects often lead incorrect data association tracking, which reduces overall accuracy...
In real industrial processes, both outliers and missing data are very common. Owing to the assumption that sampled from a normal process follow Gaussian distribution, regular datadriven monitoring methods, such as probabilistic partial least square (PPLS) method principal component analysis method, sensitive outliers. By introducing heavy-tailed t distribution instead of capture data, robust data-driven can significantly reduce influence on development model. To this paper proposes modeling...
The quantum-behaved particle swarm optimization (QPSO) algorithm, a variant of (PSO), has been proven to be an effective tool solve various problems. However, like other PSO variants, it often suffers premature convergence, especially when solving complex Considering this issue, paper proposes hybrid QPSO with dynamic grouping searching strategy, named QPSO-DGS. During the search process, is dynamically grouped into two subpopulations, which are assigned implement exploration and...