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27th International Conference on Circuits, systems, Communications and Computers, CSCC 2023

作者： Garrido, Izaskun Lecube, Jon Mzoughi, Fares Aboutalebi, Pavam Ahmad, Irfan Cayuela, Salvador Garrido, Ailtor University of the Basque Country-UPV/EHU Automatic Control Group Acg Department of Automatic Control and Systems Engineering Bilbao Spain

ISBN: (纸本)9798350337594

Wave excitations cause structural vibrations on the Oscillating Water Columns (OWC) lowering the generated power and reducing the life expectancy. The problem of generator deterioration has been considered for the Mutriku MOWC plant and a machine learning-based approach for prognosis and fault characterization has been proposed. In particular, the use of k-Nearest Neighbors (kNN) models for predicting the time to failure of OWC generators has been proposed. The analysis is based on data collected from sensors that measure various operational parameters of the turbines. The results demonstrate that the proposed kNN model is an excellent choice for reducing maintenance costs by enabling scheduling months in advance. The model's high accuracy in predicting generator failures allows for timely and cost-effective maintenance, preventing costly breakdowns and improving turbine efficiency. These results highlight the potential of machine learning-based approaches for addressing maintenance challenges in the energy sector and underscore the importance of proactive strategies in reducing operational costs and maximizing energy production. © 2023 IEEE.

关键词： Cost effectiveness

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Real-Time Multi-object Tracking Using YOLOv8 and SORT on a SoC FPGA 21st

Real-Time Multi-object Tracking Using YOLOv8 and SORT on a...

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21st International Symposium on Applied Reconfigurable Computing, ARC 2025

作者： Danilowicz, Michal Kryjak, Tomasz Embedded Vision Systems Group Computer Vision Laboratory Department of Automatic Control and Robotics AGH University of Science and Technology Krakow Poland

ISBN: (纸本)9783031879944

Multi-object tracking (MOT) is one of the most important problems in computer vision and a key component of any vision-based perception system used in advanced autonomous mobile robotics. Therefore, its implementation on low-power and real-time embedded platforms is highly desirable. Modern MOT algorithms should be able to track objects of a given class (e.g. people or vehicles). In addition, the number of objects to be tracked is not known in advance, and they may appear and disappear at any time, as well as be obscured. For these reasons, the most popular and successful approaches have recently been based on the tracking paradigm. Therefore, the presence of a high quality object detector is essential, which in practice accounts for the vast majority of the computational and memory complexity of the whole MOT system. In this paper, we propose an FPGA (Field-Programmable Gate Array) implementation of an embedded MOT system based on a quantized YOLOv8 detector and the SORT (Simple Online Realtime Tracker) tracker. We use a modified version of the FINN framework to utilize external memory for model parameters and to support operations necessary required by YOLOv8. We discuss the evaluation of detection and tracking performance using the COCO and MOT15 datasets, where we achieve 0.21 mAP and 38.9 MOTA respectively. As the computational platform, we use an MPSoC system (Zynq UltraScale+ device from AMD/Xilinx) where the detector is deployed in reprogrammable logic and the tracking algorithm is implemented in the processor system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： System-on-chip

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automatic recognition of emergency vehicles in images from video recorders 27

Automatic recognition of emergency vehicles in images from v...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Balcerek, Julian Pawlowski, Pawel Dolny, Krzysztof Skotnicka, Julia Poznan University of Technology Division of Signal Processing and Electronic Systems Institute of Automatic Control and Robotics Poland

ISBN: (纸本)9788362065486

In this article, a system for automatic recognition, including detection and classification, of emergency vehicles based on images from video recorders is proposed. The system utilizes YOLO v8 artificial neural network. Recognition accuracy tests were conducted on a specially prepared database of frames from real recordings. It includes marked and unmarked police vehicles (which are very difficult to distinguish and typically not included in automatic recognition systems), fire, ambulance, military vehicles and other reference images. The experiments concerned the recognition of vehicle types and the state of emergency lighting. The highest value of total (for all classes) F1 measure is over 86%. In selected classes the F1 reaches 91%, while precision is 94% and sensitivity is 89%. They can be considered as satisfactory results, what indicates the possibility of using the presented system in practice. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Videocassette recorders

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Coalition formation problem: a capability-centric analysis and general model

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Science China(Information Sciences) 2024年第11期67卷 180-193页

作者： Jie CHEN Miao GUO Bin XIN Qing WANG Shengyu LU Yipeng WANG Yulong DING School of Automation Beijing Institute of Technology National Key Lab of Autonomous Intelligent Unmanned Systems Department of Control Science and Engineering Tongji University

Coalition formation(CF) refers to reasonably organizing robots and/or humans to form coalitions that can satisfy mission requirements, attracting more and more attention in many fields such as multirobot collaboration and human-robot collaboration. However, the analysis on CF problems remains *** provide a valuable study reference for researchers interested in CF, this paper proposed a capabilitycentric analysis of the CF problem. The key problem elements of CF are firstly extracted by referencing the concepts of the 5W1H method. That is, objects(who) form coalitions(what) to accomplish missions(why) by aggregating capabilities(how) in a specific environment(where-when). Then, a multi-view analysis of these elements and their correlation in terms of capabilities is proposed through various logic diagrams, structure charts, etc. Finally, to facilitate a deeper understanding of capability-centric CF, a general mathematical model is constructed, demonstrating how the different concepts discussed in this analysis contribute to the overall model.

关键词： coalition formation capability aggregation capability metric mission requirement environmental effect

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Efficient Multi-task Learning for Road Scene Classification: Scene, Time, and Weather Predictions 20

Efficient Multi-task Learning for Road Scene Classification:...

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20th IEEE International Conference on Intelligent Computer Communication and Processing Conference, ICCP 2024

作者： Prykhodchenko, Roman Skruch, Pawel Agh University of Science and Technology Department of Automatic Control and Robotics Cracow Poland

ISBN: (纸本)9798331539979

This paper addresses the task of road scene classification by leveraging multi-task learning (MTL) to improve model performance and computational efficiency. We employ the BDD100K dataset, which provides diverse driving scenarios, and apply data augmentation and balancing techniques to mitigate class imbalances. Our methodology integrates a ResNet18 backbone pre-trained on ImageNet, extended with task-specific heads for scene type, time of day, and weather classification. Uniform Manifold Approximation and Projection (UMAP) is used for dimensionality reduction and visualization of feature embeddings. Experiments demonstrate that our MTL approach significantly enhances classification accuracy across tasks, with notable performance in time-of-day classification. The proposed model achieves robust results despite class imbalances, validated through confusion matrices and UMAP visualizations. Our findings highlight the benefits of MTL in road scene classification, offering insights for future research in autonomous driving and computer vision. © 2024 IEEE.

关键词： Dimensionality reduction

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Reaction Wheel Inverted Pendulum control System 27

Reaction Wheel Inverted Pendulum Control System

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27th International Conference on Soft Computing and Measurements, SCM 2024

作者： Suravneva, Ksenija S. Belskii, Grigorij V. Kopichev, Mihail M. Saint Petersburg Electrotechnical University 'LETI' Automatic Control Systems Department Saint Petersburg Russia

ISBN: (纸本)9798350363708

This paper deals with the design of a laboratory test bench and control system for maintaining an unstable equilibrium position of an inverted pendulum with a reaction wheel. A review of technical solutions in the field of stabilization of an inverted pendulums of this type is given in order to find out solutions for designing a prototype of the plant and its mathematical model. Proposed mathematical model showed the controllability of the plant with regulator. The prototype of the laboratory test bench of an inverted pendulum including the arm fixed in the bearing support in the base, a DC motor with a reduction gear, a Hall sensor, a reaction wheel on the shaft and a driver to provide the motor current, microcontroller control system to control the rotation of the motor shaft and, accordingly, to control the torque on the shaft to change the angle of inclination of the arm of the test bench was assembled. Experimental study of the designed laboratory test bench with PID controller was carried out. The tests showed that the proposed solution is controllable and the unstable equilibrium position could be maintained by rotation of the reaction wheel on the shaft of the electric motor. © 2024 IEEE.

关键词： Inverted pendulum

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automatic recognition of dangerous objects in front of the vehicle's windshield 27

Automatic recognition of dangerous objects in front of the v...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Balcerek, Julian Pawlowski, Pawel Cierpiszewska, Julia Kus, Lukasz Zborowski, Piotr Institute of Automatic Control and Robotics Poznan University of Technology Division of Signal Processing and Electronic Systems Poland

ISBN: (纸本)9788362065486

In this article, an automatic recognition system, of objects that threaten the safety of vehicle users is proposed. These objects are detected in front of the vehicle's windshield based on images from video recorders and then classified. The tests were conducted using artificial neural networks on a specially prepared database of frames from real recordings. Recognized objects include: car wheels, car parts, birds, stones and ice. They were recognized in single- and multi-class detections for various parameters of the network model. Detection efficiency of 95% was achieved in the best case. © 2024 Division of Signal Processing and Electronic systems, Poznan University of technology (DSPES PUT).

关键词： Videocassette recorders

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Synthesis of Invariant Immersion and Dynamic Surface control Methods for Nonlinear Uncertain Objects 27

Synthesis of Invariant Immersion and Dynamic Surface Control...

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27th International Conference on Soft Computing and Measurements, SCM 2024

作者： Nguyen, Duy Khanh Rusyaeva, Tat'Jana L. Putov, Viktor V. Sheludko, Viktor N. Saint Petersburg Electrotechnical University 'LETI' Department of Automatic Control Systems Saint Petersburg Russia

ISBN: (纸本)9798350363708

The paper discusses a modern method for synthesizing adaptive controllers for nonlinear objects with uncertain parameters, presented in lower triangular form. The adaptive control system is developed based on a combination of the backstepping method using first-order low-pass filters (or the dynamic surface control method) and the invariant immersion method based on the attractiveness of invariant manifolds. Estimation of unknown parameters using the invariant immersion method allows the control system to avoid undesirable transient processes that arise due to the unpredictable dynamic behavior of traditional parameter tuning laws in adaptive control synthesis. The stability (robustness) of the closed-loop system is proven using Lyapunov functions. Simulation results in the MATLAB/Simulink software environment of a numerical example of an adaptive control system for a third-order uncertain nonlinear object demonstrate the effectiveness of the proposed control scheme. © 2024 IEEE.

关键词： Adaptive control systems

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IGBT Temperature Field Monitoring Based on Reduced-order Model

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CES Transactions on Electrical Machines and systems 2023年第2期7卷 129-136页

作者： Ziyu Zhou Yi Su Xu Zhang Chengde Tong Ping Zheng Mingjun Zhu School of Electrical Engineering&Automation Harbin Institute of TechnologyHarbin 150001China IEEE Flight control department Xi'an Flight Automatic Control Research InstituteXi'an 710076China

With the rapid development of the world economy,IGBT has been widely used in motor drive and electric energy *** order to timely detect the fatigue damage of IGBT,it is necessary to monitor the junction temperature of *** order to realize the fast calculation of IGBT junction temperature,a finite element method of IGBT temperature field reduction is proposed in this ***,the finite element calculation process of IGBT temperature field is introduced and the linear equations of finite element calculation of temperature field are *** field data of different working conditions are obtained by finite element simulation to form the sample *** the covariance matrix of the sample space is constructed,whose proper orthogonal decomposition and modal extraction are carried *** basis vector space is selected to complete the low dimensional expression of temperature vector inside and outside the sample ***,the reduced-order model of temperature field finite element is obtained and *** results of the reduced order model are compared with those of the finite element method,and the performance of the reduced-order model is evaluated from two aspects of accuracy and rapidity.

关键词： IGBT Junction temperature Proper orthogonal decomposition Reduced-order model

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Nonlinear Identification for control by Using HARMAX Models 9

Nonlinear Identification for Control by Using HARMAX Models

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Culita, Janetta Stefanoiu, Dan Nica, Andreea-Maria University 'Politehnica' of Bucharest Department of Automatic Control and Systems Engineering Romania University 'Politehnica' of Bucharest Faculty of Automatic Control and Computers Romania

ISBN: (纸本)9798350311402

The purpose of this article is to perform a comparison between two identification models: a nonlinear one referred to as HARMAX and a classical linear one, of Box-Jenkins (BJ) type. The first model modifies a classical ARMAX model by applying Hammerstein polynomials on input, output, and noise signals. Identification of models was performed by means of Multi-Step Least Squares Method, as described into the article. The simulations on a real-world plant, namely ASTANK2, a fluidic system with two inputs, two outputs and nonlinear static characteristic, have proven that the HARMAX model performs better than the BJ model and provides more accurate useful models to be integrated into closed loop configurations. © 2023 IEEE.

关键词： Optimization

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