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Chinese Automation Congress (CAC)

作者： Binchuan Qi Wei Gong Li Li Zhenzhen Jiao Jian Jin The Department of Control Science and Engineering Tongji University Shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China iF-Labs Beijing Teleinfo Technology Co. Ltd. CAICT Beijing China China Academy of Information and Communications Technology Beijing China

The counterfeit goods trade is a global issue. Traditionally, customized equipment, elaborate labeling, and expert inspection are the primary ways to identify fakes. In recent years, deep learning technology has been used for counterfeit identification based on image detection and classification. There are two critical challenges. First, in real-world situations, the counterfeiting patterns are diverse, while the genuine ones are often identical. This is because counterfeit goods may be partially assembled from some parts of genuine products. Second, authenticating a counterfeit as genuine can cause a lot of trouble. To address these issues, we propose a novel end-to-end algorithm that combines a new Multi-Head Convolution Neural Network (MH-CNN) with a new Loss function named Attractor Loss (AtL) and applies it to image classification of real and fake goods. Technically, our method takes multiple images of different positions of an object as input. Then it outputs 1) the classification probability of belonging to a real class, and 2) a feature vector that is used for nearest neighbor retrieval. On engineering implementation, we integrate an MH-CNN structure, which contains a shared CNN backbone for extracting deep features and multiple heads for computing the deep representation of different positions. To improve the recognition performance, we propose a joint training method to train the MH-CNN model and propose a new AtL to filter vector representation of images from real class and pull them closer for enhancing the recognition rate without loss of accuracy. Extensive experimental results demonstrate the superior performance of our proposed method.

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Optimization of Simulation Parameters of Input Shaper Based on Genetic Algorithm 2

Optimization of Simulation Parameters of Input Shaper Based ...

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2nd IEEE International Conference on Advanced Technologies in Intelligent control, Environment, Computing and Communication Engineering, ICATIECE 2022

作者： Yi, Tao Pei, Quanshen Li, Deying Wei, Shugong Jia, Danping Zhang, Hualiang Hunan University of Information Changsha China School of Information Science and Engineering Shenyang University of Technology Shenyang China College of Physics and Electronic Engineering Guangxi Normal University for Nationalities Chongzuo China Chinese Academy of Sciences Shenyang Institute of Automation Key Laboratory of Networked Control Systems Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China

ISBN: (纸本)9781665493963

In the motion control system, input shaper is often used to suppress the residual oscillation of high-precision positioning system, but the selection of input shaper parameters is difficult. In view of the difficulty of selecting input shaper parameters, this paper proposes to use genetic algorithm to select the parameters of input shaper. Firstly, the input shaper is designed in the light of the three-loop mathematical model of motor;Secondly, because the genetic algorithm directly optimizes the output of the motor and the algorithm can reduce the influence of the deviation of generator parameters on the parameter selection of the input shaper to a certain extent, the parameters of the input shaper are selected by the genetic algorithm to optimize the output of the motor;In the finish, a comparative experiment between a system with input shaper and a system with simple PID control is carried out. The results show that the optimized system can obtain higher robustness and smaller tracking deviation. © 2022 IEEE.

关键词： Genetic algorithms

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Incremental stability and performance analysis of discrete-time nonlinear systems using the LPV framework

arXiv

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arXiv 2021年

作者： Koelewijn, Patrick J.W. Tóth, Roland Control Systems Group Eindhoven University of Technology P.O. Box 513 Eindhoven5600 MB Netherlands Systems and Control Laboratory Institute for Computer Science and Control Kende u. 13-17 BudapestH-1111 Hungary

The dissipativity framework is widely used to analyze stability and performance of nonlinear systems. By embedding nonlinear systems in an LPV representation, the convex tools of the LPV framework can be applied to nonlinear systems for convex dissipativity based analysis and controller synthesis. However, as has been shown recently in literature, naive application of these tools to nonlinear systems for analysis and controller synthesis can fail to provide the desired guarantees. Namely, only performance and stability with respect to the origin is guaranteed. In this paper, inspired by the results for continuous-time nonlinear systems, the notion of incremental dissipativity for discrete-time nonlinear systems is proposed, whereby stability and performance analysis is done between trajectories. Furthermore, it is shown how, through the use of the LPV framework, convex conditions can be obtained for incremental dissipativity analysis of discrete-time nonlinear systems. The developed concepts and tools are demonstrated by analyzing incremental dissipativity of a controlled unbalanced disk system. Copyright © 2021, The Authors. All rights reserved.

关键词： Nonlinear systems

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Real-time Seamless Image Stitching in Autonomous Driving

Real-time Seamless Image Stitching in Autonomous Driving

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International Conference on Information Fusion

作者： Christian Kinzig Irene Corté s Carlos Ferná ndez Martin Lauer Institute of Measurement and Control Systems Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Department of Computer Science and Engineering Universidad Carlos III de Madrid (UC3M) Madrid Spain

ISBN: (数字)9781737749721

ISBN: (纸本)9781665489416

Autonomous vehicles depend on an accurate perception of their surroundings. For this purpose, different approaches are used to detect traffic participants such as cars, cyclists, and pedestrians, as well as static objects. A commonly used method is object detection and classification in camera images. However, due to the limited field of view of camera images, detecting in the entire environment of the ego-vehicle is an additional challenge. Some solutions include the use of catadioptric cameras or clustered surround view camera systems that require a large installation height. In multi-camera setups, an additional step is required to merge objects from overlapping areas between cameras. As an alternative to these systems, we present a real-time capable image stitching method to improve the horizontal field of view for object detection in autonomous driving. To do this, we use a spherical camera model and determine the overlapping area of the neighboring images based on the calibration. Furthermore, lidar measurements are used to improve image alignment. Finally, seam carving is applied to optimize the transition between the images. We tested our approach on a modular redundant sensor platform and on the publicly available nuScenes dataset. In addition to qualitative results, we evaluated the stitched images using an object detection network. Moreover, the real-time capability of our image stitching method is shown in a runtime analysis.

关键词： Runtime Laser radar Pipelines Merging Object detection Cameras Real-time systems

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Higher-order sliding mode observer design for linear time-invariant multivariable systems based on a new observer normal form

arXiv

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arXiv 2021年

作者： Niederwieser, Helmut Tranninger, Markus Seeber, Richard Reichhartinger, Markus Institute of Automation and Control Graz University of Technology Graz Austria BEST - Bioenergy and Sustainable Technologies GmbH Graz Austria Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Institute of Automation and Control Graz University of Technology Graz Austria

In various applications in the field of control engineering the estimation of the state variables of dynamic systems in the presence of unknown inputs plays an important role. Existing methods require the so-called observer matching condition to be satisfied, rely on the boundedness of the state variables or exhibit an increased observer order of twice the plant order. In this article, a novel observer normal form for strongly observable linear time-invariant multivariable systems is proposed. In contrast to classical normal forms, the proposed approach also takes the unknown inputs into account. The proposed observer normal form allows for the straightforward construction of a higher-order sliding mode observer, which ensures global convergence of the estimation error within finite time even in the presence of unknown bounded inputs. Its application is not restricted to systems which satisfy the aforementioned limitations of already existing unknown input observers. The proposed approach can be exploited for the reconstruction of unknown inputs with bounded derivative and robust state-feedback control, which is shown by means of a tutorial example. Numerical simulations confirm the effectiveness of the presented work. Copyright © 2021, The Authors. All rights reserved.

关键词： Multivariable systems

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Phase dynamics of noise-induced coherent oscillations in excitable systems

arXiv

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arXiv 2022年

作者： Zhu, Jinjie Kato, Yuzuru Nakao, Hiroya School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Department of Complex and Intelligent Systems Future University Hakodate Hokkaido041-8655 Japan

Noise can induce coherent oscillations in excitable systems without periodic orbits. Here, we establish a method to derive a hybrid system approximating the noise-induced coherent oscillations in excitable systems and further perform phase reduction of the hybrid system to derive an effective, dimensionality-reduced phase equation. We apply the reduced phase model to a periodically forced excitable system and two-coupled excitable systems, both undergoing noise-induced oscillations. The reduced phase model can quantitatively predict the entrainment of a single system to the periodic force and the mutual synchronization of two coupled systems, including the phase slipping behavior due to noise, as verified by Monte Carlo simulations. The derived phase model gives a simple and efficient description of noise-induced oscillations and can be applied to the analysis of more general cases. Copyright © 2022, The Authors. All rights reserved.

关键词： Hybrid systems

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Multi-Band Compact Microstrip Antenna

Multi-Band Compact Microstrip Antenna

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IEEE Region 8 International Conference on Computational Technologies in Electrical and Electronics Engineering, SIBIRCON

作者： Evgeny L. Akashkin Vladislav S. Matveev Ilya A. Kuzmin Vadim K. Tsvetkov Yury M. Meleshin Konstantin S. Lyalin Institute of Microdevices and Control Systems (MCS) National Research University of Electronic Technology (MIET) Moscow Russia Laboratory of Microwave Devices National Research Institute of Molecular Electronics-Microdesign (NIIME-MD) Moscow Russia

ISBN: (纸本)9781665464819

Modern synthetic-aperture radars (SAR) are used in many different fields such as infrastructure maintenance, geohazards control, forestry and waterbody management, maritime surveillance, and ice monitoring. SAR manages to locate objects both above and below the earth’s surface at the same time. To achieve those capability different combinations of equipment and antennas are utilized. Large percentage of current SAR systems are based on UAVs or small aircrafts which leads to constraints on the maximum size and weight of the system. Casual approach of setting all antennas on the same vehicle is unsuitable because antennas occupy too much space. Which comes from the fact that for the under-surface monitoring antennas usually work at low frequencies (P-band). In this paper new multi-layer antenna is proposed. This antenna consists of three layers of patch emitters for different frequency bands. Proposed antenna has low overall dimensions and low manufacturing complexity. Modeling results of each of three layers and combination of them are presented.

关键词： Space vehicles Surveillance Microstrip antennas Maintenance engineering Radar antennas Manufacturing Microstrip

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Robust constraint satisfaction in data-driven MPC

arXiv

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arXiv 2020年

作者： Berberich, Julian Köhler, Johannes Müller, Matthias A. Allgöwer, Frank Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart70550 Germany Leibniz University Hannover Institute of Automatic Control Hannover30167 Germany

We propose a purely data-driven model predictive control (MPC) scheme to control unknown linear time-invariant systems with guarantees on stability and constraint satisfaction in the presence of noisy data. The scheme predicts future trajectories based on data-dependent Hankel matrices, which span the full system behavior if the input is persistently exciting. This paper extends previous work on data-driven MPC by including a suitable constraint tightening which ensures that the closed-loop trajectory satisfies desired pointwise-in-time output constraints. Furthermore, we provide estimation procedures to compute system constants related to controllability and observability, which are required to implement the constraint tightening. The practicality of the proposed approach is illustrated via a numerical example. Copyright © 2020, The Authors. All rights reserved.

关键词： Model predictive control

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A Real-time Hand Gesture Recognition System for Human-Computer and Human-Robot Interaction

A Real-time Hand Gesture Recognition System for Human-Comput...

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2022 International Conference of Yearly Reports on Informatics, Mathematics, and Engineering, ICYRIME 2022

作者： Ponzi, Valerio Iacobelli, Emanuele Napoli, Christian Starczewski, Janusz Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 Roma00185 Italy Institute for Systems Analysis and Computer Science Italian National Research Council Via dei Taurini 19 Roma00185 Italy Department of Computational Intelligence Czestochowa University of Technology al. Armii Krajowej 36 Czestochowa42-200 Poland

The proposed hand gesture recognition (HGR) system is designed to enhance human-computer interaction (HCI) and human-robot interaction (HRI), which are crucial areas of research aimed at improving the way humans interact with computer or robot systems. With the growing need for intelligent computers and robots in a range of applications, including healthcare, manufacturing, and education, both HCI and HRI have gained significant importance. In this context, the HGR system plays a vital role by enabling natural and intuitive communication between humans and technology through hand gestures. The presented system uses a single camera and efficient image processing techniques that enable real-time gesture detection. Unlike other methods, our approach employs a basic video camera, which is widely available on most computers, eliminating the need for expensive and specialized hardware. © 2022 Copyright for this paper by its authors.

关键词： Human robot interaction

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Evaluation System and Correlation Analysis for Determining the Performance of a Semiconductor Manufacturing System

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Complex System Modeling and Simulation 2021年第3期1卷 218-231页

作者： Qingyun Yu Li Li Hui Zhao Ying Liu Kuo-Yi Lin Department of Control Science and Engineering College of Electronics and Information EngineeringShanghai Institute of Intelligent Science and Technologyand also with Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 201804China Department of Mechanical Engineering School of EngineeringCardiff UniversityThe ParadeCF243AAUK

Numerous performance indicators exist for semiconductor manufacturing *** studies have been conducted regarding the performance optimization of semiconductor manufacturing ***,because of the complex manufacturing processes,potential complementary or inhibitory correlations may exist among performance indicators,which are difficult to demonstrate *** analyze the correlation between the performance indicators,this study proposes a performance evaluation system based on the mathematical significance of each performance indicator to design statistical *** samples can be obtained by conducting simulation experiments through the performance evaluation *** Pearson correlation coefficient method and canonical correlation analysis are used on the received samples to analyze linear correlations between the performance *** the investigation,we found that linear and other complex correlations exist between the performance *** finding can contribute to our future studies regarding performance optimization for the scheduling problems of semiconductor manufacturing.

关键词： semiconductor manufacturing system system modeling evaluation system correlation analysis

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