Shan Liang

ORCID: 0000-0001-5328-4068
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About
Contact & Profiles
Research Areas
  • Advanced Control Systems Optimization
  • Control Systems and Identification
  • Microwave-Assisted Synthesis and Applications
  • Water Systems and Optimization
  • Advanced Control Systems Design
  • Food Drying and Modeling
  • Anomaly Detection Techniques and Applications
  • Neural Networks and Applications
  • Flow Measurement and Analysis
  • Induction Heating and Inverter Technology
  • Maritime Navigation and Safety
  • Structural Integrity and Reliability Analysis
  • Stability and Control of Uncertain Systems
  • Advanced Algorithms and Applications
  • Fault Detection and Control Systems
  • Microwave and Dielectric Measurement Techniques
  • Ultrasonics and Acoustic Wave Propagation
  • Advanced Sensor Technologies Research
  • Advanced Optical Network Technologies
  • Adaptive Control of Nonlinear Systems
  • Water Quality Monitoring Technologies
  • Maritime Ports and Logistics
  • Advanced Sensor and Control Systems
  • Control and Dynamics of Mobile Robots
  • Machine Learning and ELM

Chongqing University
2015-2024

Ministry of Education of the People's Republic of China
2018-2024

State Key Joint Laboratory of Environment Simulation and Pollution Control
2022-2023

Tsinghua University
2019-2023

Guangdong Medical College
2022-2023

Zhejiang Hospital
2023

Yancheng Institute of Technology
2023

Nanjing University of Science and Technology
2010-2022

Huazhong University of Science and Technology
2022

Dalian Ocean University
2021

Removing chlorinated organics (chlorobenzene as a model) by deNOx unit over bifunctional catalyst has become the frontier of environmental catalysis. However, it is fundamentally challenging to achieve efficient selective catalytic reduction NOx and chlorobenzene oxidation due trade-off between activity selectivity. Herein, we demonstrated break such through interfacial charge modulation on that fabricated integrating FeVO4 Fe2O3 semiconductor materials. The optimized FeVO4–Fe2O3 exhibited...

10.1021/acscatal.2c00161 article EN ACS Catalysis 2022-03-11

Yangtze River is the world's busiest inland waterway. Ships need to be guided when passing through controlled waterways based on their trajectory predictions. Inaccurate predicted trajectories lead non-optimal traffic signalling which may cause significant jam. For existing intelligent systems (ITSSs), ships are supposed travel exactly along mid-line of River, has caused many problems and issues. Over last few years, data have been growing exponentially, we gone into big ear. This trend...

10.1109/control.2016.7737569 article EN 2016-08-01

Yangtze River is probably the world's busiest inland waterway. Ships need to be guided when passing through a controlled waterway based on their long-term speed prediction. Inaccurate ship prediction leads nonoptimal traffic signaling, which may cause significant jam. For existing intelligent signaling system, assumed constant, has caused many problems and issues. This paper proposes novel algorithm construct an improved multilayer perceptron (MLP) network for accurate prediction, in hidden...

10.1109/tits.2016.2560131 article EN IEEE Transactions on Intelligent Transportation Systems 2016-05-22

For a learning model to be effective in online modeling of nonstationary data, it must not only equipped with high adaptability track the changing data dynamics but also maintain low complexity meet computational restrictions. Based on these two important principles, this paper, we propose fast adaptive gradient radial basis function (GRBF) network for nonlinear and time series prediction. Specifically, an initial compact GRBF is constructed training using orthogonal least squares algorithm,...

10.1109/tsp.2020.2981197 article EN IEEE Transactions on Signal Processing 2020-01-01

Abstract Background Insomnia as one of the dominant diseases traditional Chinese medicine (TCM) has been extensively studied in recent years. To explore novel approaches research on TCM diagnosis and treatment, this paper presents a strategy for insomnia based machine learning. Methods First all, 654 cases have collected from an experienced doctor sample data. Secondly, light characteristics contents samples divided into four parts: basic information, diagnostic methods, treatment syndrome...

10.1186/s13020-020-00409-8 article EN cc-by Chinese Medicine 2021-01-06

In the traditional microwave heating partial differential equation (PDE) model, one of main characteristics is infinite-dimensional nature, which does not allow to readily design and implement a controller. Motivated by this obstruction, paper proposes finite-dimensional ordinary (ODE) can only describe thermodynamics field with nonhomogeneous boundary conditions but also be coupled variation electromagnetic in temperature-dependent dielectric media. Initially, equivalent PDE model...

10.1109/tmtt.2016.2584613 article EN IEEE Transactions on Microwave Theory and Techniques 2016-07-14

In this work, a wave-shaped piezoelectric composite (WSPC) made of fine β-phase vinylidene fluoride trifluoroethylene copolymer (P(VDF-TrFE)) polymer and high-elastic FeSiB amorphous alloy (metglas) ribbon has been successfully fabricated for wearable device applications. X-ray diffraction the Fourier Transform Infrared Spectrum studies reveal P(VDF-TrFE) exhibiting β-phase. Both theoretical analysis experimental results show that unique structure enhances electromechanical coupling...

10.1063/1.4972478 article EN Journal of Applied Physics 2016-12-21
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