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Data Driven control and Learning Systems (DDCLS)

作者： Honghai Ji Yue Lu Lingling Fan Shida Liu Ye Ren Li Wang School of Electronics & Control Engineering North China University of Technology Beijing China School of Automation Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In the context of road scenes, detecting targets poses challenges such as mutual occlusion, small sizes, and dense distributions, leading to difficulties in detection and target loss. To address these issues, a road scene target detection algorithm is proposed based on improvements to YOLOv8. Firstly, a lightweight VanillaNet is employed as the backbone feature extraction network. Secondly, an SENet module is introduced in the Feature Fusion Network (Neck) to enhance the model's learning ability in deep-level features, thereby addressing detection challenges caused by mutual occlusion of targets. Finally, the MPDIoU loss function is chosen to replace the original YOLOv8 loss function for model optimization. Experiments are conducted using images from the Pascal VOC dataset, specifically samples of Person, Car, Bus, Motorcycle, and Bicycle categories, for training and testing. The experimental results indicate that the improved algorithm exhibits a 3.5% increase in average precision compared to the original YOLOv8 algorithm, with notable improvements in target omission and false detection scenarios.

关键词： Training Accuracy Pedestrians Roads Motorcycles Object detection Feature extraction

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Nonlinear Mpc Design for a Thrust-Vectored Aircraft Based on Integrated Flight and Propulsion Model

SSRN

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SSRN 2024年

作者： Hou, Zheng Lv, Zongyang Liu, Kai Wu, Yuhu Xu, Changyi School of Control Science and Engineering Dalian University of Technology Dalian116024 China School of Aeronautics and Astronautics Dalian University of Technology Dalian116024 China

Thrust-vectored aircraft have captured the attention of researchers due to their capabilities of vertical takeoff/vertical landing and high-speed/efficient forward flight. The exceptional performance of these aircraft can be achieved through optimal integration of aircraft and propulsion system, posing significant challenges for the control design. In this paper, a novel multivariable nonlinear model predictive integrated Flight and Propulsion controller (NMP-IFPC) is designed to cope with the intricate couplings and to achieve the synthetic optimization of the thrust-vectored aircraft and propulsion system, meanwhile, the aircraft’s velocity, attitude and engine’s spool speed can be tracked accurately simultaneously through the proposed controller. To achieve this, we firstly develop a detailed nonlinear integrated flight and propulsion model that comprehensively captures the aircraft and propulsion system couplings. The integrated model encompasses a nonlinear 6DOFs aircraft model and a component-level dynamic propulsion model, where the thrust-vectored aircraft’s propulsion system consists of a shaft-driven lift fan, a three-bearing swivel duct (3BSD) nozzle and a dual-axis turbofan engine with a roll nozzle. The model validation and coupling analysis of the proposed integrated model are then meticulously discussed. Taking into account the drastic dynamic changing of the thrust-vectored aircraft and the propulsion system in different modes, two different control strategies for VTOL mode and CTOL mode based on the proposed NMP-IFPC controller are designed. Simulations in three different flight modes are conducted to verify the feasibility and advantages of the proposed control strategies. © 2024, The Authors. All rights reserved.

关键词： controllers

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The Generated-bbox Guided Interactive Image Segmentation With Vision Transformers

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IET Computer Vision 2025年第1期19卷

作者： Zhang, Shiyin Dong, Yafei Qiu, Shuang School of Control and Computer Engineering North China Electric Power University Baoding China School of Mathematics and Information Science Hebei University Baoding China School of Artificial Intelligence Taiyuan University of Technology Taiyuan China

Existing click-based interactive image segmentation methods typically initiate object extraction with the first click and iteratively refine the coarse segmentation through subsequent interactions. Unlike box-based methods, click-based approaches mitigate ambiguity when multiple targets are present within a single bounding box, but suffer from a lack of precise location and outline information. Inspired by instance segmentation, the authors propose a Generated-bbox Guided method that provides location and outline information using an automatically generated bounding box, rather than a manually labelled one, minimising the need for extensive user interaction. Building on the success of vision transformers, the authors adopt them as the network architecture to enhance model's performance. A click-based interactive image segmentation network named the Generated-bbox Guided Coarse-to-Fine Network (GCFN) was proposed. GCFN is a two-stage cascade network comprising two sub-networks: Coarsenet and Finenet. A transformer-based Box Detector was introduced to generate an initial bounding box from a inside click, that can provide location and outline information. Additionally, two feature enhancement modules guided by foreground and background information: the Foreground-Background Feature Enhancement Module (FFEM) and the Pixel Enhancement Module (PEM) were designed. The authors evaluate the GCFN method on five popular benchmark datasets and demonstrate the generalisation capability on three medical image datasets. © 2025 The Author(s). IET Computer Vision published by John Wiley & Sons Ltd on behalf of The Institution of engineering and Technology.

关键词： Image segmentation

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Learning-Based Predictive-Corrector Reentry Guidance for Hypersonic Vehicles

Learning-Based Predictive-Corrector Reentry Guidance for Hyp...

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International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Wu, Tiancai Wang, Honglun Liu, Yiheng Yu, Yue Lun, Yuebin School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Science and Technology On Aircraft Control Laboratory Beihang University Beijing100191 China Shenyuan Honors College Beihang University Beijing100191 China Beijing Aerospace Automatic Control Institute Beijing100854 China

ISBN: (纸本)9789811694912

A learning-based predictive-corrector guidance method for hypersonic vehicles with a high lift-to-drag ratio is proposed in this paper. First, based on the quasi equilibrium-glide condition, a traditional predictive-corrector guidance algorithm is employed to address reentry guidance with path constraint. Then, to avoid the ubiquitous phenomenon of large phugoid oscillation, a learning-based altitude rate feedback mechanism is proposed. The feedback gain is scheduled adaptively by a deep reinforcement learning strategy to enhance the adaptability and robustness of the guidance algorithm in different flight environments. Finally, the numerical simulation demonstrates the effectiveness of the proposed algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Deep learning

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Adaptive Nonsingular Fast Terminal Sliding Mode Tracking control for Second-order Nonlinear Systems with External Disturbances

Adaptive Nonsingular Fast Terminal Sliding Mode Tracking Con...

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Chinese control and Decision Conference, CCDC

作者： Weihai Zhang Zhikang Sun Wei Wei Xiaoning Lv Tianliang Zhang College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China School of Information and Control Engineering Qingdao University of Technology Qingdao China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

This paper proposes an adaptive nonsingular fast terminal sliding mode (NFTSM) tracking controller for second-order nonlinear systems with external disturbances. Firstly, a novel NFTSM mainfold is constructed to directly address the singularity issue from the perspective of sliding mode surface design and enhance the convergence speed of the tracking error. Then, in order to achieve more accurate dynamic response on the uncertain nonlinear system, a robust adaptive control strategy is introduced into the sliding mode control strategy to estimate the unknown external disturbance. The system states can converge to an arbitrarily small set around the origin within a finite time. Finally, a simulation example is included to further testify the validity of the proposed control approach.

关键词： Manifolds Upper bound Uncertainty Accuracy Simulation Robustness Nonlinear dynamical systems

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Unified control Theory from PID to ACPID

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Advances in Pure Mathematics 2024年第7期14卷 523-545页

作者： Zhezhao Zeng Yuqi Tang School of Electrical and Information Engineering Changsha University of Science and Technology Changsha China Hunan Zhe-Zhao Automation Control Technology Co. Ltd. Xiangtan China

To address the challenge of achieving unified control across diverse nonlinear systems, a comprehensive control theory spanning from PID (Proportional-Integral-Derivative) to ACPID (Auto-Coupling PID) has been proposed. The primary concept is to unify all intricate factors, including internal dynamics and external bounded disturbance, into a single total disturbance. This enables the mapping of various nonlinear systems onto a linear disturbance system. Based on the theory of PID control and the characteristic equation of a critically damping system, Zeng’s stabilization rules (ZSR) and an ACPID control force based on a single speed factor have been designed. ACPID control theory is both simple and practical, with significant scientific significance and application value in the field of control engineering.

关键词： Insert Nonlinear Systems PID control ACPID control Total Disturbance Unified control Theory Zeng’s Stabilization Rules (ZSR)

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A Review of Machine Tool Motorized Spindle Variable Pressure Preload Technology Research

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Recent Patents on engineering 2025年第5期19卷

作者： Dai, Ye Deng, Hao Pan, Gaofeng Chen, Xinda Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education School of Mechanical and Power Engineering Harbin University of Science and Technology Harbin150080 China School of College of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin150080 China

High-precision spindles are a vital study topic because of the growing demand for high-speed, high-precision, reliable, and long-lasting machine tools. Bearing preload is the primary means of improving the accuracy of the spindle rotor system. This patent study aims to summarize the research results, systematically analyze and evaluate the machine tool motorized spindle variable pressure preload technology, and provide a scientific basis for the practical application of the motor spindle variable pressure preload technology. This study is an in-depth analysis of the basic principles of the electric spindle preloading technology, the study of its influence mechanism on the thermal deformation, stiffness, slewing error, and life of the spindle system, and a discussion of the current shortcomings in the field of spindle preloading to provide a reference for the subsequent optimization. In the spindle system, the performance of rolling bearings and the design of bearing preload have an important impact on the spindle's accuracy and stability. The traditional preload method has yet to meet the requirements of modern high-speed machine tools. Real-time controllable preload has become the new direction of development, but the current preload technology still has certain limitations and needs to be further improved. In the future, the spindle bearing variable pressure preload technology will be more efficient and intelligent. © 2025 Bentham science Publishers.

关键词： Machine tools

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MOPCS: next-generation nucleic acid molecular biosensor

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National science Review 2022年第9期9卷 139-141页

作者： Quan Liu Shang Chen Li Wang Zhaojun Duan Fuquan Xie Guojun Zhao Yunde Hou Dixian Luo Laboratory Medicine Center Huazhong University of Science and Technology Union Shenzhen Hospital(Nanshan Hospital) Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging School of Biomedical Engineering Shenzhen University Health Science Center National Institute for Viral Disease Control and Prevention China Center for Disease Control and Prevention Department of Laboratory Medicine Shenzhen Children's Hospital The Sixth Affiliated Hospital of Guangzhou Medical University Qingyuan City People's Hospital

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had a huge impact on the world, causing millions of deaths and a serious blow to the global economy. SARS-CoV-2 can aack most body tissues with devastating consequences [1].e current global SARS-CoV-2 outbreak has exposed our shortcomings in the prevention and control of infectious diseases,

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Maximizing social power in multiple independent Friedkin-Johnsen models

Maximizing social power in multiple independent Friedkin-Joh...

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European control Conference (ECC)

作者： Lingfei Wang Yu Xing Claudio Altafini Karl H. Johansson Division of Decision and Control Systems Digital Futures School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Electrical Engineering Division of Automatic Control Linköping University Linköping Sweden

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper investigates the problem of maximizing social power for a group of agents, who participate in multiple meetings described by independent Friedkin-Johnsen models. A strategic game is obtained, in which the action of each agent (or player) is her stubbornness over all the meetings, and the payoff is her social power on average. It is proved that, for all but some strategy profiles on the boundary of the feasible action set, each agent's best response is the solution of a convex optimization problem. Furthermore, even with the non-convexity on boundary profiles, if the underlying networks are given by a fixed complete graph, the game has a unique Nash equilibrium. For this case, the best response of each agent is analytically characterized, and is achieved in finite time by a proposed algorithm.

关键词： Network topology Europe Games Nash equilibrium Cost function Convex functions

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Inhibition Effects of CH_(4)/CH_(3)OH on Dimethyl Ether Cool Flames

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Journal of Thermal science 2023年第6期32卷 2284-2296页

作者： ZHOU Xun ZHANG Rui YANG Shenghua LIU Dong Key Laboratory of Thermal Control of Electronic Equipment Ministry of Industry and Information TechnologyNanjing210094China Advanced Combustion Laboratory School of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing210094China

CH_(4)/DME mixtures can be used for engines and gas turbines,and have already been studied for many ***,DME has a strong cool flame phenomenon,which will greatly influence the ignition and combustion characteristics of following hot ***,the cool flame characteristics of CH_(4)/DME mixture are very important for their ***,the inhibition effect of CH_(4)on DME cool flames has been discovered,but the mechanisms of the inhibition effects lack further verification and *** this study,the inhibition effects were investigated via both experiments and *** order to validate the inhibition effects,a comparison fuel of CH_(3)OH/DME was also used in this *** extinction limits,flame temperatures and combustion products of the cool flames of the CH_(4)/DME and CH_(3)OH/DME mixtures were measured using a counterflow burner,and the reaction paths and heat release rate were derived from the *** results indicate that CH_(4)and CH_(3)OH will both inhibit the cool flame of DME via competing with DME for OH and O radicals,and CH_(3)OH has stronger inhibition effects than CH_(4),because it is more competitive and produces more CH2O,which inhibits the oxidation of *** HPMech-v3.3 closely agrees with the experimental data,but still needs to be improved.

关键词： cool flame dimethyl ether methane methanol non-premixed counterflow flame

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