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20th Polish control Conference, PCC 2020

作者： Lelowicz, Kamil Jasiński, Michal Piątek, Marcin Department of Automatic Control and Robotics AGH University of Science and Technology al. A. Mickiewicza 30 Kraków30-059 Poland APTIV Services Poland S.A. ul. Podgorki Tynieckie 2 Kraków30-399 Poland

ISBN: (纸本)9783030509354

In the artificial intelligence era of perception algorithms being used in the state-of-the-art Advance Driver Assistance systems, algorithm validation is not an easy task, mainly due to the amount of sensor data that must be processed at once. To provide the highest possible safety level of the solution, algorithm performance must be assessed in various difficult conditions. To address this problem, a novel Generic Sensor Model algorithm is presented, which can be directly incorporated in performance analysis of the perception algorithm in highly occluded driving scenarios. In this paper, the Generic Sensor Model algorithm is comprehensively described and its usefulness and robustness are proven with a set of experiments. © 2020, Springer Nature Switzerland AG.

关键词： Object detection

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Thermal performance enhancement of a PCM-assisted cylindrical solar air heater with moisture traps for Barhi dates drying

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Case Studies in Thermal Engineering 2025年 71卷

作者： Suha A. Mohammed Wissam H. Alawee Amar S. Abdul-Zahra Hasan Shakir Majdi Mohammed A. Fayad Miqdam T. Chaichan Energy and Renewable Energies Technology Research Center University of Technology Iraq Control and Systems Engineering Department University of Technology Baghdad Iraq Mechanical Engineering Department University of Technology Baghdad Iraq Mustaqbal University Collage Babelon Hillah Iraq Faculty of Engineering Sohar University Sohar Oman

By turning sun radiation into thermal energy, solar drying is a sustainable method of removing moisture from materials. For many uses, it is an affordable and environmentally responsible choice. An experimental study was conducted to improve the efficiency of an indirect solar drier for drying dates. The Iraqi climate was used to test four distinct iterations of air-cooled solar collectors that were attached to the solar dryer. The first model is a conventional solar collector; the second is a horizontal cylindrical finned collector; and the third is a horizontal cylindrical finned collector that incorporates copper nanomaterial and phase change material (PCM). The fourth type is a horizontal cylindrical finned solar collector that has moisture traps at the collector intake and a PCM combined with copper nanomaterial (type 4). The experimental findings demonstrated a direct correlation between the solar collector's performance and the ambient air temperature, which in turn influences the drying process and the pace at which water evaporates from dates. Comparing model 2 to model 1, the solar air heater's overall efficiency was roughly 24 %. Compared to model 1, the efficiency of models 3 and 4 rose by 38 % and 54 %, respectively. In comparison to model 1, the exergy of models 2, 3, and 4 dropped by 9.5 %, 19.1 %, and 29 %, respectively. In comparison to model 1, the entropy generations for models 2, 3, and 4 were decreased by 10.99 %, 21.2 %, and 39.1 %, respectively. Additionally, compared to model 1, the irreversibility decreased by 9.05 %, 49.97 %, and 69.59 %, respectively. Models 1, 2, 3, and 4 had humidity levels of 29.5 %, 24.5 %, 19 %, and 13.5 % at 18:00, respectively. The suitability of solar dryer No. 4 for drying dates in Iraqi weather conditions has been effectively demonstrated by the practical testing.

关键词： Indirect-type solar dryers Drying efficiency Energy Exergy Entropy generation Irreversibility

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Image registration method based on Generative Adversarial Networks

Image registration method based on Generative Adversarial Ne...

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International Conference on Advanced Cloud and Big Data (CBD)

作者： Yujie Sun Heping Qi Chuanyou Wang Lei Tao College of Software North Automatic Control Technology Institute Jinzhong China Institute of Systems Engineering Walter Reed Army Research Laboratories Beijing China

Image registration technology has been gradually applied in military and civil fields, such as unmanned aerial vehicle (UAV) target recognition, remote sensing image registration, 3D object reconstruction and so on. The registration accuracy of traditional registration algorithms, such as sift and surf, are not high and even mismatch, when the image content changes or affine transformation occurs. In order to solve this problem, an image registration method (IR-GAN method) based on Generative adversarial networks (GAN) was proposed, in view of the content change and affine transformation of images for training. At the same time, the sample images are expanded by translation, rotation, reflection, scaling, shearing, brightness transformation to improve the precision and accuracy of the registration algorithm. Simulation results show that our method is correct in principle and can improve the registration accuracy of both images with content changing and affine transform images.

关键词： Training Image registration Three-dimensional displays Target recognition Simulation Transforms Generative adversarial networks

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Distributed Optimization with Gradient Descent and Quantized Communication

arXiv

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arXiv 2022年

作者： Rikos, Apostolos I. Jiang, Wei Charalambous, Themistoklis Johansson, Karl H. Division of Decision and Control Systems KTH Royal Institute of Technology SE-100 44 Stockholm Sweden and Digital Futures StockholmSE-100 44 Sweden Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Department of Electrical and Computer Engineering School of Engineering University of Cyprus Nicosia Cyprus

In this paper, we consider the unconstrained distributed optimization problem, in which the exchange of information in the network is captured by a directed graph topology, thus, nodes can only communicate with their neighbors. Additionally, in our problem, the communication channels among the nodes have limited bandwidth. In order to alleviate this limitation, quantized messages should be exchanged among the nodes. For solving this distributed optimization problem, we combine a gradient descent method with a distributed quantized consensus algorithm (which requires the nodes to exchange quantized messages and converges in a finite number of steps). Specifically, at every optimization step, each node (i) performs a gradient descent step (i.e., subtracts the scaled gradient from its current estimate), and (ii) performs a finite-time calculation of the quantized average of every node’s estimate in the network. As a consequence, this algorithm approximately mimics the centralized gradient descent algorithm. We show that our algorithm asymptotically converges to a neighborhood of the optimal solution with linear convergence rate. The performance of the proposed algorithm is demonstrated via simple illustrative examples. © 2022, CC BY.

关键词： Directed graphs

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Improving the Automated Coronal Jet Identification with U-NET

arXiv

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arXiv 2024年

作者： Liu, Jiajia Ji, Chunyu Wang, Yimin Soós, Szabolcs Jiang, Ye Erdélyi, Robertus Korsós, M.B. Wang, Yuming Deep Space Exploration Lab School of Earth and Space Sciences University of Science and Technology of China Hefei230026 China CAS Key Laboratory of Geospace Environment CAS Center for Excellence in Comparative Planetology Mengcheng National Geophysical Observatory University of Science and Technology of China Hefei230026 China School of Data Science Qingdao University of Science and Technology Qingdao266100 China Department of Astronomy Eötvös Loránd University Pázmány P. sétány 1/A BudapestH-1117 Hungary Petőfi tér 3. GyulaH-5700 Hungary School of Information Science and Technology Qingdao University of Science and Technology Qingdao266100 China School of Mathematics and Statistics The University of Sheffield SheffieldS3 7RH United Kingdom University of Sheffield Department of Automatic Control and Systems Engineering Amy Johnson Building Portabello Street SheffieldS1 3JD United Kingdom

Coronal jets are one of the most common eruptive activities in the solar atmosphere. They are related to rich physics processes, including but not limited to magnetic reconnection, flaring, instabilities, and plasma heating. Automated identification of off-limb coronal jets has been difficult due to their abundant nature, complex appearance, and relatively small size compared to other features in the corona. In this paper, we present an automated coronal jet identification algorithm (AJIA) that utilizes true and fake jets previously detected by a laborious semi-automated jet detection algorithm (SAJIA, Liu et al. 2023) as the input of an image segmentation neural network U-NET. It is found that AJIA could achieve a much higher (0.81) detecting precision than SAJIA (0.34), meanwhile giving the possibility of whether each pixel in an input image belongs to a jet. We demonstrate that with the aid of artificial neural networks, AJIA could enable fast, accurate, and real-time coronal jet identification from SDO/AIA 304 Å observations, which are essential in studying the collective and long-term behavior of coronal jets and their relation with the solar activity cycles. Copyright © 2024, The Authors. All rights reserved.

关键词： Image segmentation

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Multi-objective optimization coordination for urban arterial roadway based on operational-features

Multi-objective optimization coordination for urban arterial...

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International Conference on Smart City and Intelligent Building, ICSCIB 2018

作者： Qiao, Feng Sun, Haochen Guo, Lingzhong Song, Haolin Wang, Zhaoyan Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom

ISBN: (纸本)9789811367328

In this paper, a new coordinated control model is proposed based on the vehicular operational features, and a multi-objective optimization algorithm NSGA-II is employed to the model for the operation of the vehicle traveling on an urban arterial road taking three evaluation indexes into consideration as the average vehicle delay, the queue length, and the vehicle exhaust emission. A numerical experiment was made in an urban arterial road with three intersections on VISSIM for the proposed strategy, and the simulation results were compared with two commonly used pre-timed methods: Webster’s method and MAXBAND coordinated control method to verify the effectiveness of the proposed strategy in dealing with the unbalanced traffic volume condition, and it proved its advantages in designing and managing traffic systems more efficiently. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Multiobjective optimization

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Model reduction methods for complex network systems

arXiv

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arXiv 2020年

作者： Cheng, Xiaodong Scherpen, Jacquelien M.A. Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands Jan C. Willems Center for Systems and Control ENTEG University of Groningen Netherlands

Network systems consist of subsystems and their interconnections, and provide a powerful framework for analysis, modeling and control of complex systems. However, subsystems may have high-dimensional dynamics, and the amount and nature of interconnections may also be of high complexity. Therefore, it is relevant to study reduction methods for network systems. An overview on reduction methods for both the topological (interconnection) structure of the network and the dynamics of the nodes, while preserving structural properties of the network, and taking a control systems perspective, is provided. First topological complexity reduction methods based on graph clustering and aggregation are reviewed, producing a reduced-order network model. Second, reduction of the nodal dynamics is considered by using extensions of classical methods, while preserving the stability and synchronization properties. Finally, a structure-preserving generalized balancing method for simplifying simultaneously the topological structure and the order of the nodal dynamics is treated. Copyright © 2020, The Authors. All rights reserved.

关键词： Dynamics

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Kernel-based Regularized Iterative Learning control of Repetitive Linear Time-varying systems ⁎

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IFAC-PapersOnLine 2021年第7期54卷 738-743页

作者： Xian Yu Tianshi Chen Biqiang Mu Lennart Ljung School of Data Science The Chinese University of Hong Kong ShenZhen Guangdong 518172 P.R. China Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 P.R. China Division of Automatic Control Department of Electrical Engineering Linköping University Linköping SE-58183 Sweden

The selections for the model orders and the number of controller parameters have not been discussed for many data-driven iterative learning control (ILC) methods. If they are not chosen carefully, the estimated model and designed controller will lead to either large variance or large bias. In this paper we try to use the kernel-based regularization method (KRM) to handle the model estimation problem and the controller design problem for unknown repetitive linear time-varying systems. In particular, we have used the diagonal correlated kernel and the marginal likelihood maximization method for the two problems. Numerical simulation results show that smaller mean square errors for each time instant are obtained by using the proposed ILC method in comparison with an existing data-driven ILC approach.

关键词： Kernel-based regularization Iterative learning control Repetitive systems Linear time-varying systems

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Well Convergent and Computationally Efficient Quaternion Loss 20th

Well Convergent and Computationally Efficient Quaternion Los...

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20th Polish control Conference, PCC 2020

作者： Lelowicz, Kamil Derbisz, Jakub Department of Automatic Control and Robotics AGH University of Science and Technology al. A. Mickiewicza 30 Kraków30-059 Poland APTIV Services Poland S.A. ul. Podgorki Tynieckie 2 Kraków30-399 Poland

ISBN: (纸本)9783030509354

Rotation estimation, i.e. the ability to predict angles describing 3D positioned object, is an omnipresent problem in computer vision, computer graphics and 3D object detection task in automotive industry. Deep learning algorithms usually parameterise rotation using only the yaw angle. This paper presents detailed comparison of several 3D rotation distance functions using quaternions. We propose a computationally efficient quaternion loss function for neural network training. We conclude that function respects the topology of SO(3) and is bi-invariant. We also show the geometrical representation of presented functions. Lastly, we evaluate the effectiveness of the proposed loss function and compare its performance with other methods using a public large-scale dataset. © 2020, Springer Nature Switzerland AG.

关键词： Neural networks

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Modelling and Experimental Characteristics of Photovoltaic Modules in Typical Days at an Actual Photovoltaic Power Station 4

Modelling and Experimental Characteristics of Photovoltaic M...

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4th IEEE International Conference on Automation, Electronics and Electrical Engineering, AUTEEE 2021

作者： Lodhi, Ehtisham Yang, Pu Wang, Lina Lodhi, Zeeshan Khan, M. Adil Muhammad, Sijjad Tamir, Tariku Sinshaw Beihang University School of Automation Science and Electrical Engineering Beijing100191 China COMSATS University Islamabad Department of Electrical and Computer Engineering Abbottabad Campus 22060 Pakistan Chang'An University Department of Computer and Technology Xi'an710062 China Real Engineering Services Deans Trade Center Peshawar25000 Pakistan Institute of Automation Chinese Academy of Sciences The SKL For Management and Control of Complex Systems Beijing100190 China

ISBN: (纸本)9781665428392

Solar energy among the renewable energy sources (RES) plays an important role in fulfilling any country's energy demands. When the sunlight irradiates the photovoltaic (PV) modules, part of the light energy is directly converted into electric energy. Another part is converted into heat energy, which increases the working temperature and affects the output performance characteristics of the PV module. This paper proposes a dynamic mathematical model of PV modules working on solar irradiance and ambient temperature by calculating the PV module model parameters under different environmental conditions. The dynamic model of the PV module is suggested to simulate PV modules' output characteristics (voltage and current) under any environmental conditions. By employing MATLAB/Simulink, a PV output characteristics program is compiled. The whole day output characteristics of PV strings of a real PV power station are tested and compared with simulation results. The results depict that the established model can effectively reflect PV modules' output characteristics in actual operation and can be used for dynamic simulation of PV power generation. © 2021 IEEE.

关键词： Solar energy

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