Lu Han

ORCID: 0000-0002-1573-2912
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About
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Research Areas
  • Stability and Control of Uncertain Systems
  • Adaptive Control of Nonlinear Systems
  • Fuzzy Logic and Control Systems
  • Aluminum Alloy Microstructure Properties
  • Stability and Controllability of Differential Equations
  • Microstructure and mechanical properties
  • Solidification and crystal growth phenomena
  • Chalcogenide Semiconductor Thin Films
  • Metallurgy and Material Forming
  • Control Systems and Identification
  • Neural Networks and Applications
  • Metallurgical Processes and Thermodynamics
  • Fault Detection and Control Systems
  • Advanced Sensor and Control Systems
  • Fuzzy Systems and Optimization
  • Matrix Theory and Algorithms
  • Video Surveillance and Tracking Methods
  • Quantum Dots Synthesis And Properties
  • Control and Stability of Dynamical Systems
  • Advanced machining processes and optimization
  • Advanced Optimization Algorithms Research
  • Microstructure and Mechanical Properties of Steels
  • Visual Attention and Saliency Detection
  • Multi-Criteria Decision Making
  • Copper-based nanomaterials and applications

Central South University
2018-2024

Xi'an University of Technology
2023

Nanjing University of Posts and Telecommunications
2021

Wuhan University of Technology
2018-2021

University of Science and Technology Beijing
2018-2021

Beijing University of Technology
2021

China University of Petroleum, East China
2018-2019

Aerospace Research Institute of Materials and Processing Technology
2019

Southwest Petroleum University
2015-2018

Beijing Jiaotong University
2017

GH4169 high-temperature alloy is widely used in aerospace and other fields because of its excellent fatigue, radiation, oxidation, corrosion resistance. However, milling forces, high temperatures, machining hardening can occur during processing. To explore the characteristics alloy, an ultrasonic vibration-assisted model was established to study effect parameters on process. The simulation results show that: increase amplitude effectively reduce stress, improve chip-breaking force; with rise...

10.1016/j.aej.2023.04.065 article EN cc-by-nc-nd Alexandria Engineering Journal 2023-05-11

Abstract Distributed acoustic sensing (DAS) technology is a fiber-optic based distributed technology. It achieves real-time monitoring of signals by detecting weak disturbances along the fiber. has advantages such as long measurement distance, high spatial resolution and large dynamic range. Artificial intelligence (AI) great application potential in DAS technology, including data augmentation, preprocessing classification recognition events. By introducing AI algorithms, system can process...

10.1186/s43074-025-00160-z article EN cc-by PhotoniX 2025-02-24

10.1016/j.ijsolstr.2008.06.003 article EN International Journal of Solids and Structures 2008-06-18

Abstract This study aims to design an interval type‐2 ( IT 2) fuzzy static output feedback controller stabilize the 2 T akagi‐ S ugeno T‐S ) system. Conservative results may be obtained when a common quadratic L yapunov function is utilized investigate stability of systems. A employed in this analyze closed‐loop system formed by model and controller. Stability conditions form linear matrix inequalities are derived. Several slack matrices introduced further reduce conservativeness analysis....

10.1002/asjc.850 article EN Asian Journal of Control 2014-02-27

For formation control of multiple vehicle, the typical method is feedback linearization, wherein followers track leader within a constant distance. Uncertainties and noises arising from varying external environments may easily lead to tracking errors, however. In this paper, leader-follower error model built an adaptive controller designed address uncertain relative distance using dynamic estimation Further, robust developed tackle inevitable white noise in follower velocity detection....

10.1109/mits.2017.2666581 article EN IEEE Intelligent Transportation Systems Magazine 2017-01-01

SUMMARY In this paper, the control synthesis problem for a class of large‐scale systems with multi‐modes that are called switched is addressed. By introducing concept decentralized switching signal and relevant average dwell time, asymptotic stability weighted ℓ 2 gain performance investigated. It should be noted covers general cases systems, namely, it admits both time‐dependent arbitrary blended in switching. Then, on basis analysis results, scheme including state feedback controller gains...

10.1002/rnc.3062 article EN International Journal of Robust and Nonlinear Control 2013-08-13

The deformation behavior of an Advance High Strength Steel (AHSS) with a composition 0.22C-1Si-2Mn was investigated by means dynamic processing maps. flow stress curves, which were determined tensile tests within the temperature range 1173 and 1573 K at strain rates between 10−3 1 s−1, used for constructing maps based on Dynamic Materials Modeling approach (DMM). These to evaluate optimum thermomechanical conditions identifying stable "safe" regions plastic flow. Microstructure fracture...

10.2355/isijinternational.isijint-2018-432 article EN cc-by-nc-nd ISIJ International 2019-01-15

Abstract In this paper, a new approach for stability analysis of time‐dependent switched linear systems is proposed. System equivalence the main idea in approach, which derives discrete parameter‐varying system from continuous‐time with interval dwell time, and properties two corresponding are proved to be equivalent. Then, by applying quadratic Lyapunov function equivalent system, can established without checking any average time condition. Finally computation complexity analyzed, mode...

10.1002/asjc.707 article EN Asian Journal of Control 2013-04-10

Many actual engineering applications can be modelled as large-scale switched system, while switching behaviours often occur in some short finite time intervals; thus, it is significant to ensure the finite-time boundedness of system practical terms. In this paper, problems stability analysis and stabilisation for are addressed. First, considering different signals subsystems, concepts decentralised (DFTB) H∞ controllers introduced, which focus on dynamical transient behaviour during...

10.1080/00207721.2014.992817 article EN International Journal of Systems Science 2015-01-06

Parameter Efficient Tuning has been an prominent approach to adapt the Large Language Model downstream tasks. Most previous works considers adding dense trainable parameters, where all parameters are used certain task. We found this less effective empirically using example of LoRA that introducing more does not help. Motivated by we investigate importance leveraging "sparse" computation and propose SiRA: sparse mixture low rank adaption. SiRA leverages Sparse Mixture Expert(SMoE) boost...

10.48550/arxiv.2311.09179 preprint EN other-oa arXiv (Cornell University) 2023-01-01

This article presents an adaptive rationalized Haar function approximation method to solve dynamic optimization with mixed-integer and discontinuous controls. Three measures are taken deal the discontinuity. First, problem is converted into a multi-stage by non-uniform control vector parameterization. Secondly, strategy proposed regulate interval division order of vectors. Thirdly, structure detection presented refine subintervals, in which adjacent arcs same input type merged one modify...

10.1080/0305215x.2018.1508573 article EN Engineering Optimization 2018-09-26

Introduces a prototype of wearable observation supporting system for helping human complete the and recognition tasks based on camera. The research presented here addresses special challenge problems encountered in computing environment. implementation new architecture process flow with functions will help wearers real-time face detection, identification. algorithm begins capturing sufficient quality video frames from camera followed by interested object detection recognition. We demonstrate...

10.1109/iccsit.2010.5563800 article EN 2010-07-01
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