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Non-fragile Observer Design for Fractional-order One-sided Lipschitz Nonlinear Systems

International Journal of Automation and computing 2013年第4期10卷 296-302页

作者： Yong-Hong Lan Wen-Jie Li Yan Zhou Yi-Ping Luo School of Information Engineering Xiangtan University Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Institute of Intelligent Control Hunan Institute of Engineering

This paper is concerned with the problem of the full-order observer design for a class of fractional-order Lipschitz nonlinear systems. By introducing a continuous frequency distributed equivalent model and using an indirect Lyapunov approach, the sufficient condition for asymptotic stability of the full-order observer error dynamic system is presented. The stability condition is obtained in terms of LMI, which is less conservative than the existing one. A numerical example demonstrates the validity of this approach.

关键词： Fractional-order nonlinear system observer design indirect Lyapunov approach linear matrix inequality （LMI）.

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Motion-Inspired Real-Time Garment Synthesis with Temporal-Consistency

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Journal of Computer Science & Technology 2023年第6期38卷 1356-1368页

作者：魏育坤石敏冯文科朱登明毛天露 School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Synthesizing garment dynamics according to body motions is a vital technique in computer ***-based simulation depends on an accurate model of the law of kinetics of cloth,which is time-consuming,hard to implement,and complex to *** data-driven approaches either lack temporal consistency,or fail to handle garments that are different from body *** this paper,we present a motion-inspired real-time garment synthesis workflow that enables high-level control of garment *** a sequence of body motions,our workflow is able to gen-erate corresponding garment dynamics with both spatial and temporal *** that end,we develop a transformer-based garment synthesis network to learn the mapping from body motions to garment ***-level attention is employed to capture the dependency of garments and body ***,a post-processing procedure is further tak-en to perform penetration removal and ***,textured clothing animation that is collision-free and tempo-rally-consistent is *** quantitatively and qualitatively evaluated our proposed workflow from different *** experiments demonstrate that our network is able to deliver clothing dynamics which retain the wrinkles from the physics-based simulation,while running 1000 times ***,our workflow achieved superior synthesis perfor-mance compared with alternative *** stimulate further research in this direction,our code will be publicly available soon.

关键词： clothing animation computer graphics transformer temporal consistency

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Accurate Robotic Grasp Detection with Angular Label Smoothing

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Journal of Computer Science & Technology 2023年第5期38卷 1149-1161页

作者：石敏路昊李兆歆朱登明王兆其 School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Grasp detection is a visual recognition task where the robot makes use of its sensors to detect graspable objects in its *** the steady progress in robotic grasping,it is still difficult to achieve both real-time and high accuracy grasping *** this paper,we propose a real-time robotic grasp detection method,which can accurately predict potential grasp for parallel-plate robotic grippers using RGB *** work employs an end-to-end convolutional neural network which consists of a feature descriptor and a grasp *** for the first time,we add an attention mechanism to the grasp detection task,which enables the network to focus on grasp regions rather than ***,we present an angular label smoothing strategy in our grasp detection method to enhance the fault tolerance of the *** quantitatively and qualitatively evaluate our grasp detection method from different aspects on the public Cornell dataset and Jacquard *** experiments demonstrate that our grasp detection method achieves superior performance to the state-of-the-art *** particular,our grasp detection method ranked first on both the Cornell dataset and the Jacquard dataset,giving rise to the accuracy of 98.9%and 95.6%,respectively at realtime calculation speed.

关键词： robotic grasp detection attention mechanism angular label smoothing anchor box deep learning

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Research on Closed-loop control of Engine Propellant Supply System 41

Research on Closed-loop Control of Engine Propellant Supply ...

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第41届中国控制会议

作者： Jun Zhao Yufeng Gu Qianqian Zhang Wen Yan Shaohua Sun AVIC Computing Technique Research Institute Xi'an Science and Technology on Aircraft Control Laboratory

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

According to the requirements of high reliable control of engine propellant supply system,the paper proposed a digital controller implementation scheme with DSP and CPLD as the core controller,and designed interface circuits of BLDCM,pintle injector,solenoid valve and *** paper also proposed a variable parameter PI rotate speed closed-loop control method for BLDCM,and two-stage propellant closed-loop distribution control method for pressure difference at the outlet of a pintle *** the basis of simulation,the system experiment platform was built,and the no-load and loading experiments of the BLDCM were carried out,as well as the pressure difference control experiment of the injector outlet,which verified the effectiveness of the control strategy and the correctness of the system *** and experimental results show that the control system meets the requirements of technical indicators in the aspects of quick response,stability,reliability and high precision,and has good engineering reference value.

关键词： Propellant Supply System Variable Parameter PI Closed-loop control BLDCM Pressure Difference control

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Decoding split-frequency representation for cross-scale tracking

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Neural Networks 2025年 189卷 107587页

作者： Yuanming Zhang Hao Sun State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin 150001 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Bio-Computing Research Center Harbin Institute of Technology Shenzhen Shenzhen 518055 China

Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target’s appearance. However, these reconstructions are often augmented to mimic scale jitter and alteration, neglecting physical scale observations such as those in aerial videos. This article addresses the challenge of representation learning for cross-scale tracking in generalized scenarios. Specifically, we incorporate target scale directly into the positional encoding, indicating scale through relative pixel density rather than the conventional metric of image resolution. This scale-aware encoding is then integrated into the proposed asymptotic hierarchy of decoders, designed to reconstruct representations by emphasizing the restoration of high- and low-frequency features at large and tiny scales. The reconstruction process is guided by supervised learning using split losses, enabling the generation of robust cross-scale representations for generic objects. Extensive experiments on six benchmarks — GOT-10k, LaSOT, TrackingNet, DTB70, UAV123, and TNL2K — validate the superior performance of our method. Additionally, our tracker achieves a remarkable speed of 123 frames per second on a Graphics Processing Unit, surpassing the previous best autoencoder-based tracker. The code and raw results will be made publicly available at: https://***/pellab/DSC .

关键词： Autoencoder Cross-correlation Representation learning Siamese network Visual object tracking

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Generating diverse clothed 3D human animations via a generative model

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Computational Visual Media 2024年第2期10卷 261-277页

作者： Min Shi Wenke Feng Lin Gao Dengming Zhu School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Data-driven garment animation is a current topic of interest in the computer graphics *** approaches generally establish the mapping between a single human pose or a temporal pose sequence,and garment deformation,but it is difficult to quickly generate diverse clothed human *** address this problem with a method to automatically synthesize dressed human animations with temporal consistency from a specified human motion *** the heart of our method is a twostage ***,we first learn a latent space encoding the sequence-level distribution of human motions utilizing a transformer-based conditional variational autoencoder(Transformer-CVAE).Then a garment simulator synthesizes dynamic garment shapes using a transformer encoder-decoder *** the learned latent space comes from varied human motions,our method can generate a variety of styles of motions given a specific motion *** means of a novel beginning of sequence(BOS)learning strategy and a self-supervised refinement procedure,our garment simulator is capable of efficiently synthesizing garment deformation sequences corresponding to the generated human motions while maintaining temporal and spatial *** verify our ideas *** is the first generative model that directly dresses human animation.

关键词： Transformer garment animation conditional variational autoencoder(CVAE) computer graphics

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Transverse momentum spectra and angular correlations in -hadron production in relativistic heavy-ion collisions

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The European Physical Journal Plus 2025年第1期140卷 1-20页

作者： Gao, Zhan Chen, Lin Hu, Peng-Hui Xie, Man Zhang, Han-Zhong Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics Central China Normal University Wuhan China School of Science and Engineering The Chinese University of Hong Kong Shenzhen China University of Science and Technology of China Hefei People’s Republic of China Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou China

We carry out a detailed study of medium modifications on transverse momentum spectra and angular correlations between a large transverse momentum hadron and a $$Z/\gamma$$ trigger in relativistic heavy-ion collisions within a perturbative QCD parton model improved by the Sudakov resummation technique. The total energy loss of a hard parton propagating inside the medium is employed to modify the fragmentation function, while the medium-induced transverse momentum broadening is included in the resummation approach, and both of them are related to the jet transport parameter and obtained by the higher-twist formalism. We obtain good agreements with the existing data on transverse momentum and azimuthal angular correlations for the $$Z/\gamma$$ -hadron pairs in pp and AA collisions and predict the correlations for the $$\gamma$$ -hadron in central PbPb collisions at 5.02 TeV. The numerical analyses for the $$Z/\gamma$$ -hadron in central PbPb collisions show that the normalized angular distribution is decorrelated due to the medium-induced transverse momentum broadening; however, the angular correlation is enhanced due to the parton energy loss, namely anti-broadening. The observed modification of the angular correlation is a result of the competition between the broadening and the anti-broadening. This work provides a reliable theoretical tool for a comprehensive and precise study of jet quenching in relativistic heavy-ion collisions.

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Online coal dust suppression system for opencast coal mines

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International Journal of Coal Science & Technology 2023年第5期10卷 178-186页

作者： Senju Panicker S.S.Shankar S.Jithin S.Sandeep Muhammed Irshad Jerry Daniel Tarique Sajad Control and Instrumentation Group Centre for Development of Advanced ComputingThiruvananthapuramKeralaIndia Mining Electronics Department Central Mine Planning and Design InstituteRanchiJharkhandIndia

Coal is the major source of power in India and world *** mining is an essential industry which has a major role in the economic development of the *** major mining activities contribute directly or indirectly to air *** dust is a major air pollutant which affects the personal working in the mines and also people residing in villages near the *** pollution due to coal particulates can affect human health and cause damages to the *** effective pollution control mechanisms are needed to keep the pollution levels within permissible *** easiest and most common method employed for dust suppression worldwide is sprinkling of *** majority of mines,water sprinklers are operated manually and can lead to wastage of water due to over *** can also prove to be ineffective in dust suppression if sprinkling is not done *** paper proposes a system which can be deployed to automate the dust suppressions *** system will monitor the concentration of PM_(10) and PM_(2.5) in the air and initiate sprinkling operation when the particulate matter content exceeds preconfigured limits.

关键词： Coal dust Dust suppression Sprinkling Automation Particulate matter PMio-PM2.5

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Analysis of π0, KS0, and η fragmentation functions using single-inclusive annihilation data including BESIII measurements

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Physical Review D 2025年第3期111卷 034030-034030页

作者： Mengyang Li Daniele Paolo Anderle Hongxi Xing Yuxiang Zhao Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China University of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Quark and Lepton Physics (MOE) and Institute of Particle Physics Central China Normal University Wuhan 430079 China

This study presents a quantum chromodynamics (QCD) analysis of fragmentation functions (FFs) for neutral pions (π0), neutral kaons (KS0), and eta mesons (η), utilizing world data of single-inclusive hadron production in e+e− annihilation involving the most recent BESIII data with low collision energy, to test the operational region of QCD collinear factorization for single-inclusive hadron production. We found that the QCD-based analysis at next-to-next-to-leading order in perturbative QCD with parametrized higher-twist effects can explain both existing high-energy world data and the BESIII new measurements, while the latter cannot be explained with existing FFs extracted with high-energy data. To investigate the higher-twist contributions to this discrepancy, a direct functional approach is employed, providing a testing framework for characterizing the experimental results over a wide range of energy scales, from low to high, thus extending the classical theoretical models to the BESIII domain.

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control kernel in smart factory environments: Smart resources integration 5

Control kernel in smart factory environments: Smart resource...

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5th Annual IEEE International Conference on Cyber Technology in Automation, control and Intelligent Systems, IEEE-CYBER 2015

作者： Munera, Eduardo Poza-Lujan, Jose-Luis Posadas-Yague, Juan-Luis Simo, Jose Blanes, J. Francisco Albertos, Pedro Institute of Control Systems and Industrial Computing Polytechnic University of Valencia Spain

ISBN: (纸本)9781479987290

The evolution of the definition of industry into the Smart factories has provide a big improvements in terms of production efficiency and promoted new ways to implement interfaces between humans and machines. A factory plan, which is achieved by means of a set of missions, implies a set of control missions. In this work is introduced how to achieve these control missions into a smart factory through distributed services. These services are provided by integrating smart resources. Smart resources will rely its execution on the control kernel which provides real-time support and reliability to the execution of control tasks. As a conclusions, we introduce a scalable and reusable hierarchy to perform factory plans based on distributed services. © 2015 IEEE.

关键词： Cyber Physical System

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