Shida Liu

ORCID: 0000-0002-0031-9359
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About
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Research Areas
  • Nonlinear Waves and Solitons
  • Nonlinear Photonic Systems
  • Meteorological Phenomena and Simulations
  • Advanced Control Systems Optimization
  • Iterative Learning Control Systems
  • Fractional Differential Equations Solutions
  • Adaptive Control of Nonlinear Systems
  • Numerical methods for differential equations
  • Fluid Dynamics and Turbulent Flows
  • Advanced Mathematical Physics Problems
  • Climate variability and models
  • Differential Equations and Numerical Methods
  • Catalysis and Hydrodesulfurization Studies
  • Control Systems and Identification
  • Catalytic Processes in Materials Science
  • Oceanographic and Atmospheric Processes
  • Ocean Waves and Remote Sensing
  • Catalysis for Biomass Conversion
  • Geophysics and Gravity Measurements
  • Vehicle Dynamics and Control Systems
  • Complex Systems and Time Series Analysis
  • Tropical and Extratropical Cyclones Research
  • Distributed Control Multi-Agent Systems
  • Adaptive Dynamic Programming Control
  • Nonlinear Dynamics and Pattern Formation

North China University of Technology
2019-2025

Sinopec (China)
2022-2024

Dalian University
2023

Dalian University of Technology
2023

University of British Columbia
2016-2023

Tsinghua University
2018-2022

University of Science and Technology Beijing
2022

Peking University
2004-2021

Vancouver Biotech (Canada)
2020

Beijing Jiaotong University
2014-2019

Transition metal oxides are potential alternatives to noble catalysts for oxidation reactions. Co-based spinel oxides, in particular, have attracted significant attention. Herein, NixCo3–xO4 were synthesized elucidate the influence of oxygen vacancies on catalyst activities and reaction mechanisms ethane combustion. A correlation between activity population properties O defects was developed, with an increased number typically resulting higher activity. Also, shape-induced facet effect is...

10.1021/acscatal.3c00286 article EN ACS Catalysis 2023-03-22

In this paper, a novel data-driven model-free adaptive predictive control method based on lazy learning technique is proposed for class of discrete-time single-input and single-output nonlinear systems. The feature the approach that controller designed only using input-output (I/O) measurement data system by means dynamic linearization with new concept termed pseudogradient (PG). Moreover, function implemented in lazy-learning (LL)-based PG algorithm, such not shows good robustness but also...

10.1109/tnnls.2016.2561702 article EN IEEE Transactions on Neural Networks and Learning Systems 2016-05-18

In this paper, a novel model-free adaptive control (MFAC) algorithm based on dual successive projection (DuSP)-MFAC method is proposed, and it analyzed using the introduced DuSP symmetrically similar structures of controller its parameter estimator MFAC. Then, proposed DuSP-MFAC scheme successfully implemented in an autonomous car "Ruilong" for lateral tracking problem via converting trajectory into stabilization by preview-deviation-yaw angle. This MFAC-based was tested demonstrated...

10.1109/tnnls.2019.2892327 article EN IEEE Transactions on Neural Networks and Learning Systems 2019-02-13

Abstract Multicomponent oxides are intriguing materials in heterogeneous catalysis, and the interface between various components often plays an essential role oxidations. However, underlying principles of how hetero-interface affects catalytic process remain largely unexplored. Here we report a unique structure design MnCoO x catalysts by chemical reduction, specifically for ethane oxidation. Part Mn ions incorporates with Co to form spinel 3- O 4 , while rests stay as MnO 2 domains create...

10.1038/s41467-024-48120-8 article EN cc-by Nature Communications 2024-05-15

Carbothermal hydrogen reduction (CHR) of ammonium heptamolybdate impregnated activated charcoal (AC) yields a mixed Mo2C/MoOxCy catalyst. As the CHR temperature increases (from 600 to 800 °C) Mo2C content increases. At 675 °C graphite networks are generated that attach β-Mo2C particles, and at ≥700 agglomeration sintering occur, all which decrease catalyst activity. An optimal ∼650 is identified based on activity for hydrodeoxygenation (HDO) 4-methylphenol (4-MP) 350 4.3 MPa H2 high...

10.1021/acs.energyfuels.6b01032 article EN Energy & Fuels 2016-06-06

In this study, a model-free adaptive predictive control (MFAPC) method is proposed for class of unknown nonlinear non-affine multiple-input and multiple-output (MIMO) systems based on novel dynamic linearization technique new time-varying Pseudo-Jacobian matrix (PJM) parameter. The advantages the are that it does not need model information in system design, can avoid short-sighted decision shows better performance by integrating idea control. applicability effectiveness scheme have been...

10.1109/access.2019.2931198 article EN cc-by IEEE Access 2019-01-01

10.1016/s0960-0779(03)00383-7 article EN Chaos Solitons & Fractals 2003-09-12

The hydrodeoxygenation (HDO) of 2-methoxyphenol (or guaiacol, GUA) over Pd, Ru, and Mo2C catalysts supported on activated carbon (AC) is compared. activities the for hydrogenation versus deoxygenation a per site basis, measured range temperatures in liquid phase batch reactor at high H2 pressure (3.4 MPa), are quantified using lumped kinetics. overall GUA consumption rate decreases order Pd > Ru Mo2C. Hydrogenation phenyl ring occurs low temperature (240 °C) both Pd/AC Ru/AC catalysts. At...

10.1021/acs.energyfuels.7b00452 article EN Energy & Fuels 2017-04-24

During the united gas improvement (UGI) gasification process in syngas industry, oxygen‐enriched technique plays an important role, since obtained air with a high oxygen concentration can enhance production efficiency of syngas. However, satisfactory control performance for is hard to achieve because accurate dynamical model by first principles fairly difficult obtain due strong non‐linearity and unknown disturbances practice. A novel data‐driven method called...

10.1049/iet-cta.2015.0835 article EN IET Control Theory and Applications 2016-03-29

In this work, a novel robust model‐free adaptive control (Ro‐MFAC) algorithm for class of unknown multiple‐input multiple‐output (MIMO) systems with measurement noise is presented. The proposed algorithm, designing by dynamic linearisation data model the concept pseudo‐Jacobian matrix and an decreasing factor, pure data‐driven method, only input–output are involved system design. introduction factor to attenuate effect on performance improving robustness algorithm. stability Ro‐MFAC proven...

10.1049/iet-cta.2020.0073 article EN IET Control Theory and Applications 2020-06-22

This paper proposes a new strategy for analysing and detecting abnormal passenger behavior objects on buses. First, library of behaviors buses is established. Then, mask detection object analysis (MD-AODA) algorithm proposed. The based the deep learning YOLOv5 (You Only Look Once) with improvements. For onboard face detection, combination target tracking used. To detect in vehicle, geometric scale conversion-based approach recognizing large-size ab-normal adopted. apply effectively to real...

10.1038/s41598-025-85962-8 article EN cc-by-nc-nd Scientific Reports 2025-01-16

A Jacobi elliptic function expansion method is proposed to construct the exact periodic solutions of nonlinear wave equations. This new contains hyperbolic tangent method, and obtained by this include shock solitary solutions.

10.7498/aps.50.2068 article EN cc-by Acta Physica Sinica 2001-01-01

Long term memory (LTM) in climate variability is studied by means of fractional integral techniques. By using a recently developed model, Fractional Integral Statistical Model (FISM), we this report proposed new method, with which one can estimate the long-lasting influences historical states on present time quantitatively, and further extract influence as signals. To show usability two examples, Northern Hemisphere monthly Temperature Anomalies (NHTA) Pacific Decadal Oscillation index...

10.1038/srep06577 article EN cc-by-nc-nd Scientific Reports 2014-10-10
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