Shuai Liu

ORCID: 0000-0002-8966-7041
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Research Areas
  • GNSS positioning and interference
  • Adaptive Control of Nonlinear Systems
  • Inertial Sensor and Navigation
  • Advanced Aircraft Design and Technologies
  • Control Systems and Identification
  • Stability and Control of Uncertain Systems
  • Advanced Control Systems Optimization
  • Geophysics and Gravity Measurements
  • Hydraulic and Pneumatic Systems
  • Aerospace and Aviation Technology
  • Advanced Measurement and Detection Methods
  • Satellite Communication Systems
  • Advanced Algorithms and Applications
  • Ionosphere and magnetosphere dynamics
  • Fault Detection and Control Systems
  • Remote Sensing and Land Use
  • Spacecraft Design and Technology
  • Structural Health Monitoring Techniques
  • Building Energy and Comfort Optimization
  • Vehicle Dynamics and Control Systems
  • Radar Systems and Signal Processing
  • Advanced Sensor and Energy Harvesting Materials
  • Turbomachinery Performance and Optimization
  • Guidance and Control Systems
  • Remote Sensing and LiDAR Applications

University of Science and Technology of China
2022-2024

China Academy of Space Technology
2017-2024

Civil Aviation University of China
2021-2024

Shanghai Ocean University
2024

Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2023

Institute of Geodesy and Geophysics
2022

Chinese Academy of Sciences
2016-2022

Honghe University
2007-2022

Northwestern Polytechnical University
2006-2022

Shandong University
2018-2021

In traditional cognitive radio (CR), secondary user (SU) can only access the idle spectrum when primary (PU) is absent, which has to vacate detecting presence of PU. Hence, utilization scheme very low. Recently, nonorthogonal multiple (NOMA) been proposed improve efficiency 5G communications. this paper, NOMA-based CR allow SU subchannels both at absence and PU-first-decoding mode (PFDM) SU-first-decoding (SFDM) are receiver decode NOMA signals, respectively. PFDM, perfect throughput be...

10.1109/access.2018.2828801 article EN cc-by-nc-nd IEEE Access 2018-01-01

Integrated sensing and communication (ISAC) is developing rapidly due to the advantages of bandwidth saving, hardware cost reduction energy saving. This letter proposes a unmanned aerial vehicle (UAV) enabled ISAC (UAV-ISAC) system, where UAV will sense ground users forward sensed information base station (BS). Radar mutual (MI) introduced measure performance. On basis fairness for each user, multi-objective resource optimization problem maximizing both efficiency (EE) minimum radar MI...

10.1109/lwc.2023.3288529 article EN IEEE Wireless Communications Letters 2023-06-23

Summary In this paper, a distributed output feedback model predictive control (OFMPC) algorithm is presented for the polytopic uncertain system subject to randomly occurring actuator saturation and packet loss. Compared with intensively applied state in MPC, OFMPC more feasible real world because states are often unmeasurable. With taking both loss into account, practical. Moreover, by splitting controller inputs two independent parts, dynamic (DOFC) strategy provides freedom design. global...

10.1002/rnc.3489 article EN International Journal of Robust and Nonlinear Control 2015-11-27

10.1007/s11432-012-4724-2 article EN Science China Information Sciences 2012-12-01

Ambiguity resolution (AR) can markedly enhance the precision of precise point positioning (PPP) and accelerate convergence process. The decoupled clock model represents a pivotal approach for ambiguity resolution, yet current research on this topic is largely confined to GPS. Consequently, in study, we extend investigation multi-GNSS. Firstly, based conventional model, derive multi-GNSS estimation with (PPP-AR) model. Secondly, provide detailed explanation process estimation. To validate...

10.3390/rs16162999 article EN cc-by Remote Sensing 2024-08-15

Summary This paper investigates the adaptive fuzzy output feedback fault‐tolerant tracking control problem for a class of switched uncertain nonlinear systems with sensor faults and actuator faults. Both considered are unknown, existing schemes fail to solve problem. In this paper, an estimation coefficient is introduced mitigate effects faults, then state observer constructed estimate unmeasured states Fuzzy logic employed approximate unknown functions. By backstepping technique Lyapunov...

10.1002/acs.3388 article EN International Journal of Adaptive Control and Signal Processing 2022-02-15

The advanced nonlinear sliding mode control method of DGEN380 aero engine is presented in this paper. This a small high bypass ratio turbofan by which the approach invested. And paper focuses on power management function system includes steady and transient control. mathematical model built set dynamic equation that validated experimental data. single controller based designed can keep some certain thrust levels during state maintain repeatable performance operation from one requested level...

10.1155/2019/7209428 article EN cc-by International Journal of Aerospace Engineering 2019-07-02

ABSTRACT Here, we report the draft genome sequence of Clonostachys rosea (strain YKD0085). The functional annotation C. provides important information related to its ability produce secondary metabolites. presented here builds basis for further mining.

10.1128/genomea.00538-16 article EN Genome Announcements 2016-06-25

10.1007/s13272-019-00406-0 article EN CEAS Aeronautical Journal 2019-07-03

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.4771796 preprint EN 2024-01-01

Chlorophyll-a (Chl-a) concentration is a key indicator for assessing the eutrophication level in water bodies. However, accurately inverting Chl-a concentrations optically complex coastal waters presents significant challenge traditional models. To address this, we employed Sentinel-2 MSI sensor data and leveraged power of five machine learning models, including convolutional neural network (CNN), to enhance inversion process near Hong Kong. The CNN model demonstrated superior performance...

10.3390/jmse12071119 article EN cc-by Journal of Marine Science and Engineering 2024-07-03

Precise point positioning (PPP) is a prevalent, high-precision spatial absolution method, and its performance can be enhanced by ambiguity resolution (AR). To fulfill the growing need for positioning, we developed an open-source GNSS data processing package based on decoupled clock model called Cube, which integrates offset estimation precise with (PPP-AR). Cube secondary development RTKLIB. Besides model, also estimate legacy clocks International Service (IGS), as well satellite code bias...

10.3390/rs16152739 article EN cc-by Remote Sensing 2024-07-26
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