Lu Liu

ORCID: 0000-0003-3179-1004
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About
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Research Areas
  • Advanced Control Systems Design
  • Underwater Vehicles and Communication Systems
  • Adaptive Control of Nonlinear Systems
  • Fractional Differential Equations Solutions
  • Extremum Seeking Control Systems
  • Robotic Path Planning Algorithms
  • Maritime Navigation and Safety
  • High Temperature Alloys and Creep
  • Distributed Control Multi-Agent Systems
  • Aluminum Alloy Microstructure Properties
  • Iterative Learning Control Systems
  • Surface Treatment and Residual Stress
  • Numerical methods for differential equations
  • Robotics and Sensor-Based Localization
  • Stability and Control of Uncertain Systems
  • Advanced Algorithms and Applications
  • Advanced SAR Imaging Techniques
  • Fatigue and fracture mechanics
  • Microstructure and mechanical properties
  • Solidification and crystal growth phenomena
  • Underwater Acoustics Research
  • Advanced Control Systems Optimization
  • Vibration and Dynamic Analysis
  • Reservoir Engineering and Simulation Methods
  • Guidance and Control Systems

Dalian Maritime University
2015-2025

Beijing University of Technology
2025

Northwestern Polytechnical University
2014-2024

Chinese Academy of Sciences
2007-2024

Shandong Jiaotong University
2024

University of Nottingham Ningbo China
2023

Research Institute of Petroleum Exploration and Development
2023

Xi'an Aeronautical University
2022

PetroChina Southwest Oil and Gas Field Company (China)
2020-2022

Nanjing University of Science and Technology
2018

In this article, a multi-underwater unmanned vehicle (UUV) maneuvering decision-making algorithm is proposed for counter-game with dynamic target scenario. The game modeled interval-valued intuitionistic fuzzy rules, and an optimal strategy realized using fractional-order recurrent neural network (RNN). First, underwater environments weak connectivity, noise, uncertainties are analyzed incorporated into the set. Then, model expected return of multi-UUV countermeasure designed based on rules....

10.1109/tcyb.2022.3225106 article EN IEEE Transactions on Cybernetics 2022-12-13

10.1016/j.isatra.2014.09.012 article EN ISA Transactions 2014-10-29

The instability of the underwater environment and communication brings great challenges to coordination cooperation multi-Autonomous Underwater Vehicle (AUV). In this paper, a multi-AUV dynamic maneuver countermeasure algorithm is proposed based on interval information game theory fractional-order Differential Evolution (DE), in order highlight features countermeasure. Firstly, an advantage function comprising situation energy efficiency advantages account strategies. Then, payoff matrix...

10.3390/fractalfract6050235 article EN cc-by Fractal and Fractional 2022-04-25

Most of the existing controller tuning methods are based on accurate system model and sensitive to some inevitable uncertainties unmeasurable disturbance. Aiming at this problem, a thorough robustness analysis typical kind fractional‐order (FO) delay has been made in study. A robust FO proportional derivative is proposed phase gain margins. The demonstrated under different circumstances, namely there variation, time constant order variation or even multiple parameters variations transfer...

10.1049/iet-cta.2017.1145 article EN IET Control Theory and Applications 2018-05-12

This article addresses the distributed formation control of multiple under-actuated autonomous surface vehicles (ASVs) in a receding-horizon setting. The ASVs are subject to physical constraints, addition stationary and moving obstacles. A barrier-certified model predictive method is proposed with capability avoiding collision obstacles neighboring ASVs. Specifically, data-driven neural predictor used learn unknown functions ASV kinetics. nominal position law developed based on learned...

10.1109/tsmc.2022.3184811 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2022-07-04

Abstract A fuzzy fractional-order PID control algorithm for a general type industrial temperature system is proposed in this paper. In order to improve the production quality and controlled model accuracy, elementary used describe process. The gain coefficients of controller updated online based on set rules which are defined by Mittag–Leffler functions follow fat-tailed distributions. Therefore, parameters could be auto-tuned according uncertainties, noise disturbance, random delay, etc....

10.1007/s40747-021-00431-9 article EN cc-by Complex & Intelligent Systems 2021-06-17

We propose an adaptive fractional multi-scale optimization optical flow algorithm, which for the first time improves over-smoothing of estimation under total variation model from perspective global feature and local texture balance, solves problem that convergence algorithms depends on order parameter. Specifically, a fractional-order discrete L1-regularization Total Variational Optical Flow is constructed. On this basis, Ant Lion algorithm innovatively used to realize iterative calculation...

10.3390/fractalfract8040179 article EN cc-by Fractal and Fractional 2024-03-22

Summary In this paper, the robust stability of a fractional‐order time‐delay system is analyzed in frequency domain based on finite spectrum assignment (FSA). The FSA algorithm essentially an extension traditional pole method, which can change undesirable characteristic equation into desirable one. Therefore, presented analysis scheme also be used as alternative compensation method. However, it superior to other schemes because applied open‐loop poorly damped or unstable systems. extended...

10.1002/rnc.4490 article EN International Journal of Robust and Nonlinear Control 2019-02-11

In this work, we propose a method for AUV to reconstruct the docking ring autonomously under guidance of visual information. The proposed is based on knowledge self-reconfiguration two AUVs in underwater environment. order enable long distance performance, make use blue-green light beacons. beacons are detected by using YOLO V3 algorithm. addition, P4P algorithm applied resolve problem relative poses AUVs. case short distances, Aruco marker precisely guide towards ring. KCF shorten...

10.1109/jsen.2020.3042306 article EN IEEE Sensors Journal 2021-03-17
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