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12th IEEE International Conference on Intelligent Systems, IS 2024

作者： António, João Mihaylova, Lyudmila Georgieva, Petia Aveiro Portugal University of Sheffield Dep. of Automatic Control and Systems Engineering Sheffield United Kingdom Institute of Telecommunications Aveiro Portugal

ISBN: (纸本)9798350350982

In this paper we propose a Text-To-Text Transfer Transformer-based (T5) model to generate concise, human-like synopses of Merger and Acquisition (M&A) economic news. Leveraging recent advancements in artificial intelligence and natural language processing, we have focused our resources on the creation of a specific summarizer, opting for a translation of all news into English to ensure consistency and mitigate complexity. The implementation of Graphics processing unit (GPU) resources for model training played a crucial role in optimizing the learning process, allowing us to effectively utilize the time window provided by platforms such as Google Colab Pro and Free. Through iterative fine-tuning, our model was trained to generate high-quality, human-like synopses of M&A events. Our findings underscore the enhanced transparency and interpretability of the proposed generative AI-driven text summariser, suggesting promising avenues for future exploration and development in this field. © 2024 IEEE.

关键词： Graphics processing unit

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3D UAV Registration of Large Scale Environment Using Structure From Motion Based Approach 28

3D UAV Registration of Large Scale Environment Using Structu...

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28th International Conference on Information, Communication and Automation Technologies, ICAT 2022

作者： Velagic, Jasmin Balta, Haris Faculty of Electrical Engineering Dep. of Automatic Control and Electronics Sarajevo Bosnia and Herzegovina Siemens Energy Nuremberg Germany

ISBN: (纸本)9781665466929

This paper treats the problem of 3D outdoor environment mapping using images acquired by Unmanned Aerial Vehicle (UAV). The main focus is on the generation of 3D model for large scale environments. In order to perform 3D model reconstruction and mapping from 2D aerial images we employed a Structure from Motion (SfM) based approach. The obtained results using this approach for different scenarios, the rubble field and village, are presented. The generated UAV 3D point cloud data are compared with the ground truth using the least square method, where the ground truth represents a reference model with high accuracy geodetic precision. The comparison of the 3D environment models with the rubble field and village scenarios and the ground truth data is also given. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Efficient News Synopsis Generation with T5 Transformers

Efficient News Synopsis Generation with T5 Transformers

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International IEEE Conference on Intelligent Systems, IS

作者： João António Lyudmila Mihaylova Petia Georgieva Dep. of Electronics Telecom. and Informatics (DETI) University of Aveiro Aveiro Portugal Dep. of Automatic Control and Systems Engineering University of Sheffield Sheffield UK University of Aveiro/DETI Institute of Electronics and Informatics Eng. of Aveiro (IEETA) Institute of Telecommunications Aveiro Portugal

ISBN: (数字)9798350350982

ISBN: (纸本)9798350350999

关键词： Training Economics Technological innovation Corporate acquisitions Graphics processing units Transformers Natural language processing Internet Iterative methods Intelligent systems

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3D UAV Registration of Large Scale Environment Using Structure From Motion Based Approach

3D UAV Registration of Large Scale Environment Using Structu...

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XXII International Symposium on Information, Communication and Automation Technologies, ICAT

作者： Jasmin Velagić Haris Balta Dep. of Automatic Control and Electronics Faculty of Electrical Engineering Sarajevo Bosnia and Herzegovina Siemens Energy Nuremberg Germany

ISBN: (数字)9781665466929

ISBN: (纸本)9781665466936

关键词： Point cloud compression Solid modeling Three-dimensional displays Structure from motion Autonomous aerial vehicles Data models Software

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Solutions for Digital Interaction of a Resilient Energy Community in a Service-oriented Framework 12

Solutions for Digital Interaction of a Resilient Energy Comm...

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12th International Conference and Exposition on Electrical and Power engineering, EPE 2022

作者： Sanduleac, Mihai Ionescu, Constantin Mandis, Alexandru Gropa, Victor Efremov, Cristina Sanduleac, Vlad Department of Power Systems Faculty of Energy Engineering University Politehnica of Bucharest Bucharest Romania Dep. of Energy Generation and Use Faculty of Energy Engineering University Politehnica of Bucharest Bucharest Romania Faculty of Energetics and Electrical Engineering Technical University of Moldova Chisinau Moldova Department of Computer Science and Engineering Faculty of Automatic Control and Computers University Politehnica of Bucharest Romania

ISBN: (数字)9781665489942

ISBN: (纸本)9781665489942

Energy communities are emerging entities which need their own Information and Communication System. Resilience is a key metric of such communities, and it has to be implemented for both energy supply versus public network outages and for its information system versus cyber-attacks, acting as cyber-citadels which have to resist external malicious attacks while having also digital interactions with external entities. The paper presents solutions for a resilient energy community with appropriate implementations of digital interaction for data exchange, in order to acquire external energy service for specialized companies and to deliver also information and communication-related services for external users. Principles of a Contractual Data Protection Regulation are presented, as an adaptation of data protection tailored for automated energy services and based on secure data exchange. The principles are verified in a demonstration project which has also external entities with digital interaction. © 20XX IEEE.

关键词： Cybersecurity

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A ROBUST OBSERVER WITH GYROSCOPIC BIAS CORRECTION FOR ROTATIONAL DYNAMICS

arXiv

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arXiv 2023年

作者： Lefeber, Erjen Greiff, Marcus Robertsson, Anders Dep. of Mech. Engineering Eindhoven University of Technology Eindhoven Netherlands Mitsubishi Electric Research Laboratories CambridgeMA United States Department of Automatic Control Lund University Lund Sweden

We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show uniform almost global asymptotic and local exponential stability of the resulting error dynamics, implying robustness against bounded disturbances. This robustness is quantified with respect to a popular nonlinear complementary filter in quantitative simulation studies, and we explore how the measurement noise propagates to the asymptotic errors as a function of tuning. This is an extended version of a paper with the same title (to appear at IFAC WC 2023). Additional mathematical details are provided in this extended version. Copyright © 2023, The Authors. All rights reserved.

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Consistent Event-Triggered Consensus on Complete Graphs

Consistent Event-Triggered Consensus on Complete Graphs

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IEEE Conference on Decision and control

作者： Duarte J. Antunes David Meister Toru Namerikawa Frank Allgöwer W.P.M.H. Heemels Dep. of Mechanical Eng. Eindhoven Control Systems Technology Group University of Technology the Netherlands Institute for Systems Theory and Automatic Control University of Stuttgart Germany School of Integrated Design Engineering Graduate School of Science and Technology Keio University Japan

This paper starts by considering an optimal control formulation of the consensus problem on complete graphs with a cost capturing disagreement and agents modeled by integrators. An optimal control policy for this problem is shown to be the well-known consensus algorithm by which each agent resets its state to the average of its and other agents' state values received at every time step. The framework is extended to the case where agents can only exchange information periodically, with a period larger than one. Then an event-triggered control strategy is proposed that results in a better cost than that of the optimal periodic one with the same average transmission rate, that is, it is consistent. According to this strategy, each agent distributedly transmits its state if the error between its current state and a common consensus estimate based on previously transmitted agents' data exceeds a threshold. Simulation results are presented to illustrate the proposed strategy.

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Neuromorphic Sensors with Visible Light Communications 4

Neuromorphic Sensors with Visible Light Communications

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4th West Asian Symposium on Optical and Millimeter-Wave Wireless Communications, WASOWC 2022

作者： Hulea, Mircea Uleru, George-Iulian Younus, Othman Isam Rajbhandari, Sujan Ghassemlooy, Zabih Fac. of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Iasi Romania Optical Communications Research Group Northumbria University Dep. of Physics and Electrical Eng. Newcastle upon Tyne United Kingdom Dsp Centre of Excellence Bangor University Bangor United Kingdom Optical Communications Research Group Northumbria University Newcastle upon Tyne United Kingdom

ISBN: (纸本)9781665409131

Spiking neural networks (SNN) can control single-joint robotic arms' precise rotation and force when shape memory alloy (SMA) actuators are used. SNN receives feedback from neuromorphic sensors for controlling anthropomorphic fingers, which typically respond to the flexion angle and the force applied to the fingertips. The robotic fingers and hands are in relative motion with the robot's body, which typically includes the main unit for the limb's motion control. An elegant method to implement the connection between the main control unit and the neuromorphic sensors on limbs is to use visible light communication technology. This work presents a system that uses the recently introduced optical axons to connect the neuromorphic force sensors placed on fingers and the main electronic SNN that controls the finger's motion. The SNN behaviour is evaluated comparatively with and without optical axons when the hand moves relatively to the neural control unit (NCU), which regulates the finger's force. The expected results show that despite small oscillations of the finger force during steady-state, the robotic hand can hold on to an object while moving in the vicinity of NCU. © 2022 IEEE.

关键词： Robotic arms

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Data-driven predictive current control for synchronous motor drives 12

Data-driven predictive current control for synchronous motor...

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12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

作者： Carlet, Paolo Gherardo Favato, Andrea Bolognani, Saverio Dorfler, Florian University of Padova Electric Drives Laboratory Dep. of Industrial Engineering Padova Italy Eth Zurich Automatic Control Laboratory Zurich8092 Switzerland

ISBN: (纸本)9781728158266

Data-driven control techniques have become increasingly popular in recent years due to the availability of massive amounts of data and several advances in data science. These control design methods bypass the system identification step and directly exploit collected data to construct the controller. In this paper, we investigate the application of data-driven methods to the control of electric motor drives, and specifically to the design of current controllers for three-phase synchronous permanent magnet motor drives. Two of the most promising data-driven algorithms are presented, namely the Subspace Predictive control algorithm and the Data-Enabled Predictive control algorithm. The theory behind these techniques is first reviewed in the optimization-based control framework. Standard algorithms are slightly modified to fulfill the requirements of the specific application, and then simulated in the MATLAB Simulink environment. Some key aspects of real-time implementation are studied, providing a proof-of-concept demonstration of the applicability of these algorithms. The data-driven design is proposed for three different topologies of synchronous motors, proving the flexibility of the approach. © 2020 IEEE.

关键词： Model predictive control

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Decoupled feedforward-feedback periodic event-triggered control for disturbance rejection ⁎

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IFAC-PapersOnLine 2020年第2期53卷 2708-2713页

作者： Ernesto Aranda-Escolástico María Guinaldo José Luis Guzmén Sebastián Dormido Dep. of Software and Systems Engineering UNED Dep. of Computer Sciences and Automatic Control UNED Dep. of Informatics ceiA3 CIESOL University of Almería

In this paper, feedforward and feedback controllers are studied considering decoupled periodic event-triggering mechanisms for output and disturbance sensors. Stability and robustness conditions for linear systems are obtained considering transportation delays and actuator saturation following the Lyapunov-Krasovskii procedure. A numerical example shows that the proposed control strategy reduces the communication between sensors and controller significantly, while the system performance is not deteriorated.

关键词： Event-triggered control feedforward control Lyapunov stability time delay disturbance rejection saturation

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