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arXiv 2024年

作者： Li, Jiang Wang, Xiaoping Zeng, Zhigang The School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China The Hubei Key Laboratory of Brain-Inspired Intelligent Systems Huazhong University of Science and Technology Wuhan430074 China The Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan430074 China

Multimodal emotion recognition in conversation (MERC) has garnered substantial research attention recently. Existing MERC methods face several challenges: (1) they fail to fully harness direct inter-modal cues, possibly leading to less-than-thorough cross-modal modeling;(2) they concurrently extract information from the same and different modalities at each network layer, potentially triggering conflicts from the fusion of multi-source data;(3) they lack the agility required to detect dynamic sentimental changes, perhaps resulting in inaccurate classification of utterances with abrupt sentiment shifts. To address these issues, a novel approach named GraphSmile is proposed for tracking intricate emotional cues in multimodal dialogues. GraphSmile comprises two key components, i.e., GSF and SDP modules. GSF ingeniously leverages graph structures to alternately assimilate inter-modal and intra-modal emotional dependencies layer by layer, adequately capturing cross-modal cues while effectively circumventing fusion conflicts. SDP is an auxiliary task to explicitly delineate the sentiment dynamics between utterances, promoting the model’s ability to distinguish sentimental discrepancies. Furthermore, GraphSmile is effortlessly applied to multimodal sentiment analysis in conversation (MSAC), forging a unified multimodal affective model capable of executing MERC and MSAC tasks. Empirical results on multiple benchmarks demonstrate that GraphSmile can handle complex emotional and sentimental patterns, significantly outperforming baseline models. Copyright © 2024, The Authors. All rights reserved.

关键词： Emotion Recognition

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Digital Twin-based Cyber-Attack Detection Framework for Cyber-Physical Manufacturing systems

TechRxiv

引用

TechRxiv 2022年

作者： Balta, Efe C. Pease, Michael Moyne, James Barton, Kira Tilbury, Dawn M. The Automatic Control Laboratory ETH Zurich Zurich8092 Switzerland The National Institute of Standards and Technology GaithersburgMD20899 United States The Department of Mechanical Engineering University of Michigan Ann ArborMI48109 United States

Smart manufacturing (SM) systems utilize run-time data to improve productivity via intelligent decision-making and analysis mechanisms on both machine and system levels. The increased adoption of cyber-physical systems in SM leads to the comprehensive framework of cyber-physical manufacturing systems (CPMS) where data-enabled decision-making mechanisms are coupled with cyber-physical resources on the plant floor. Due to their cyber-physical nature, CPMS are susceptible to cyber-attacks that may cause harm to the manufacturing system, products, or even the human workers involved in this context. Therefore, detecting cyber-attacks efficiently and timely is a crucial step towards implementing and securing high-performance CPMS in practice. This paper addresses two key challenges to CPMS cyber-attack detection. The first challenge is distinguishing expected anomalies in the system from cyber-attacks. The second challenge is the identification of cyber-attacks during transient response of CPMS due to closed-loop controllers. Digital twin (DT) technology emerges as a promising solution for providing additional insights into the physical process (twin) by leveraging run-time data, models, and analytics. In this work, we propose a DT framework for detecting cyber-attacks in CPMS during controlled transient behavior as well as expected anomalies of the physical process. We present a DT framework and provide details on structuring the architecture to support cyber-attack detection. Additionally, we present an experimental case study on off-the-shelf 3D printers to detect cyber-attacks utilizing the proposed DT framework to illustrate the effectiveness of our proposed approach. © 2022, CC BY.

关键词： Data Analytics

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An Efficient Adaptive Hierarchical Sliding Mode control Strategy Using Neural Networks for 3D Overhead Cranes

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International Journal of Automation and computing 2019年第5期16卷 614-627页

作者： Viet-Anh Le Hai-Xuan Le Linh Nguyen Minh-Xuan Phan Department of Automatic Control Hanoi University of Science and TechnologyHanoi 10000Vietnam Centre for Autonomous Systems University of Technology SydneyNew South Wales 2007Australia

In this paper, a new adaptive hierarchical sliding mode control scheme for a 3D overhead crane system is proposed. A controller is first designed by the use of a hierarchical structure of two first-order sliding surfaces represented by two actuated and un-actuated subsystems in the bridge crane. Parameters of the controller are then intelligently estimated, where uncertain parameters due to disturbances in the 3D overhead crane dynamic model are proposed to be represented by radial basis function networks whose weights are derived from a Lyapunov function. The proposed approach allows the crane system to be robust under uncertainty conditions in which some uncertain and unknown parameters are highly difficult to determine. Moreover, stability of the sliding surfaces is proved to be guaranteed. Effectiveness of the proposed approach is then demonstrated by implementing the algorithm in both synthetic and reallife systems, where the results obtained by our method are highly promising.

关键词： 3D overhead crane adaptive control hierarchical sliding mode control neural network radial basis function

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Multi-Objective Optimization for Online Train Trajectory Planning with Moving Window Method

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2023年第3期50卷 1074页

作者： He, Zhiyu Li, Yinan Li, Hui Xu, Ning Communication & Signal Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Automatic Train Control Department Communication & Signal Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Communication & Signal Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China Technology & Information Department Communication & Signal Research Institute China Academy of Railway Sciences Corporation Limited Beijing100081 China

Optimization on trajectory planning is significant offering the driver or automatic train operation system a guidance to drive the train efficiently. An optimal trajectory is subject to operational, geographic, physical and dynamic constraints. In previous studies, researchers have put much effort into offline optimization. However, operational errors in real situation are rarely taken into consideration. Thus, this paper proposes a dynamic trajectory planning to address the deviation. Specifically, first, we design an online optimization framework to display model predictive control-based train trajectory planning theory. Various constraints are set for optimization problem. Second, taking energy consumption and punctuality into consideration, we propose a moving window method to search the optimal variables, which are applied to evaluate the fitness function. Plus, to improve global search ability and convergence rate, we present a multi-swarm particle swarm optimization by dividing the population into several parts. On the basis of operational time error at reallocation positions, we design a novel weight allocation mechanism for the revaluation of fitness function. At last, taking real data from Beijing-Shanghai high-speed railway as an example, the robustness and effectiveness of the proposed algorithm is proved by comparing multiple parameters with some numerical results of simulations. The results show that the proposed method can adjust operating strategy dynamically so that the train runs in an energy-efficient way. Additionally, in delay scene, the proposed method can also guide the train to catch up with the scheduled time and save energy consumption. © (2023), (International Association of Engineers). All Rights Reserved.

关键词： Multiobjective optimization

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Mitigating the Massive Access Problem in the Internet of Things 1

引用

2nd International Symposium on Security in Computer and Information Sciences, EuroCybersec 2021

作者： Gelenbe, Erol Nakıp, Mert Marek, Dariusz Czachorski, Tadeusz Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice44-100 Poland Yaşar University Bornova İzmir Turkey CNRS Lab. I3S Université Côte d’Azur Nice France CNRS Lab. Abraham de Moivre London United Kingdom Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

ISBN: (数字)9783031093579

ISBN: (纸本)9783031093562

The traffic from the large number of IoT devices connected to the IoT is a source of congestion known as the Massive Access Problem (MAP), that results in packet losses, delays and missed deadlines for real-time data. This paper reviews the literature on MAP and summarizes recent results on two approaches that have been designed to mitigate MAP. One approach is based on randomizing the packet arrival instants to IoT gateways within a given time interval that is chosen so that packet arrivals do not exceed their deadlines, but also so that they do not constitute bulk arrivals. The second approach is a novel traffic shaping policy named the Quasi-Deterministic-Transmission-Policy (QDTP) which has been proved to drastically reduce queue formation at the receiving gateway by delaying packet departures from the IoT devices in a judicious manner. Both analytical and experimental results are summarized, that describe the benefits of these techniques. © 2022, The Author(s).

关键词： Internet of things

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Toward parallel intelligence: an interdisciplinary solution for complex systems

arXiv

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arXiv 2023年

作者： Zhao, Yong Zhu, Zhengqiu Chen, Bin Qiu, Sihang Huang, Jincai Lu, Xin Yang, Weiyi Ai, Chuan Huang, Kuihua He, Cheng Jin, Yucheng Liu, Zhong Wang, Fei-Yue College of Systems Engineering National University of Defense Technology Changsha410073 China Hunan Institute of Advanced Technology Changsha410073 China Shanghai Institute of Infectious Disease and Biosecurity Shanghai200032 China Neuherberg Germany Department of Computer Science Hong Kong Baptist University 999077 Hong Kong State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in Artificial systems, Computational experiments, and Parallel execution (ACP) approach has been developed. The method cultivates a cycle, termed parallel intelligence, which iteratively creates data, acquires knowledge, and refines the actual system. Over the past two decades, the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines, offering versatile interdisciplinary solutions for complex systems across diverse fields. This review explores the origins and fundamental concepts of the parallel systems method, showcasing its accomplishments as a diverse array of parallel technologies and applications, while also prognosticating potential challenges. We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation. © 2023, CC BY-NC-ND.

关键词： Iterative methods

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Unknown input observer design for linear time-invariant systems - A unifying framework

arXiv

引用

arXiv 2021年

作者： Tranninger, Markus Niederwieser, Helmut Seeber, Richard Horn, Martin 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

This paper presents a new observer design approach for linear time invariant multivariable systems subject to unknown inputs. The design is based on a transformation to the so-called special coordinate basis. This form reveals important system properties like invertability or the finite and infinite zero structure. Depending on the system's strong observability properties, the special coordinate basis allows for a straightforward unknown input observer design utilizing linear or nonlinear observers design techniques. The chosen observer design technique does not only depend on the system properties, but also on the desired convergence behavior of the observer. Hence, the proposed design procedure can be seen as a unifying framework for unknown input observer design. © 2021, CC BY-NC-ND.

关键词： Time varying control systems

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Contract Composition for Dynamical control systems: Definition and Verification using Linear Programming

arXiv

引用

arXiv 2022年

作者： Sharf, Miel Besselink, Bart Johansson, Karl Henrik Division of Decision and Control Systems Kth Royal Institute of Technology Digital Futures Stockholm10044 Sweden Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Groningen9700 AK Netherlands

Designing large-scale control systems to satisfy complex specifications is hard in practice, as most formal methods are limited to systems of modest size. Contract theory has been proposed as a modular alternative to formal methods in control, in which specifications are defined by assumptions on the input to a component and guarantees on its output. However, current contract-based methods for control systems either prescribe guarantees on the state of the system, going against the spirit of contract theory, or can only support rudimentary compositions. In this paper, we present a contract-based modular framework for discrete-time dynamical control systems. We extend the definition of contracts by allowing the assumption on the input at a time k to depend on outputs up to time k -1, which is essential when considering the feedback connection of an unregulated dynamical system and a controller. We also define contract composition for arbitrary interconnection topologies, under the pretence of well-posedness, and prove that this notion supports modular design, analysis and verification. This is done using graph theory methods, and specifically using the notions of topological ordering and backward-reachable nodes. Lastly, we use k-induction to present an algorithm for verifying vertical contracts, which are claims of the form "the conjugation of given component-level contracts is a stronger specification than a given contract on the integrated system". These algorithms are based on linear programming, and scale linearly with the number of components in the interconnected network. A numerical example is provided to demonstrate the scalability of the presented approach, as well as the modularity achieved by using it. Copyright © 2022, The Authors. All rights reserved.

关键词： Linear programming

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TOWARDS THE EXPLICIT DYNAMIC MODELING OF DISTRIBUTION GRIDS IN THE TIME-DOMAIN

TOWARDS THE EXPLICIT DYNAMIC MODELING OF DISTRIBUTION GRIDS ...

引用

CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution

作者： F. Gielnik F. Mueller S. de Jongh M. Pfeifer M. Suriyah S. Hohmann T. Leibfried Karlsruhe Institute of Technology (KIT) Institute of Electrical Energy Systems and High Voltage Engineering (IEH) Karlsruhe Germany Karlsruhe Institute of Technology (KIT) Institute of Control Systems (IRS) Karlsruhe Germany

The majority of monitoring and control applications at a distribution system control center rely on the assumption that the distribution network is in quasi steady-state. Known limitations of the quasi steady-state assumption are its inability to capture fast transients and harmonic distortion. Both of them are induced by the large-scale integration of distributed energy sources (DES) and power electronics. This motivates a dynamic modeling of distribution grids since such an approach naturally obviates the steady-state assumption. In the literature, the dynamic modeling of distribution networks mainly leads to implicit models in forms of differential-algebraic equations (DAEs). In contrast, the explicit modeling in terms of ordinary differential equations (ODEs) has received limited attention. This is a problem as the model-based design of a controller and state estimator usually requires an explicit model. In this paper, we present a first approach towards a dynamic description of an unbalanced distribution grid by an explicit ODE model. A minimal system consisting of two buses and one three-phase three-wire line is considered. The contribution is twofold: first, we propose a time-domain dynamic model for the minimal system in form of an explicit Port-Hamiltonian system; secondly, the dynamic model is validated through experiments. The results show that the dynamic model can deal with both, fast transients and harmonic distortion.

关键词： differential algebraic equations nonlinear dynamical systems time-domain analysis distribution networks differential equations harmonic distortion wires (electric) power electronics distributed power generation

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Development of a PM Spherical Actuator with Tiltable Stator for High Torque Density

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IEEE Transactions on Transportation Electrification 2025年

作者： He, Xinghua Xiang, Pengjie Yan, Liang Yang, Xuxu Liu, Xiaoshuai Du, Nannan Bu, Suwan Yan, Guishan Ai, Chao Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Science and Technology on Aircraft Control Laboratory Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Beihang University Ningbo Institute of Technology Ningbo315800 China Sun Yat-Sen University School of Intelligent Systems Engineering Shenzhen518000 China Yanshan University School of Mechanical Engineering Qinhuangdao066004 China

Spherical actuators are active joints that rotate around three directions and are more compact than conventional joints using multiple single-axis motors connected in series. However, spherical electromagnetic actuators have low torque density, particularly in tilt directions, hindering practical applications. The essential reason is that their stator and rotor are misaligned after tilting, which not only reduces the electromagnetic torque but also introduces restoring torques. To enhance torque density, this paper proposes a 3-DOF permanent magnet spherical actuator with a tiltable stator. The relative positions of the stators and rotors of each actuation unit remain unchanged after tilting, maintaining high output torque and allowing large tilting angles, and rotating and tilting torques are decoupled. We introduce the working principle of the proposed actuator and establish its basic structure. Two-dimensional magnetic field finite element analysis and conformal transformation are combined to simplify three-dimensional magnetic field computations. The optimized parameters for the tilting unit are obtained. Finally, a prototype is fabricated and experimentally tested. The proposed spherical actuator yields a tilt torque exceeding 8 Nm and a rotation torque of 7.34 Nm, corresponding to a torque density of 1.75 Nm/kg for tilt and 1.6 Nm/kg for rotation relative to the entire actuator. © 2015 IEEE.

关键词： Spheres

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