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Optimal Operation of Multi-Unit Diesel Power Plant

Power Technology and engineering 2024年第4期58卷 592-597页

作者： Vasileva, A.A. Vaskov, A.G. Sigel, A.S. Shestopalova, T.A. Shurkalov, P.S. Laboratory of Control Systems for Solar-Diesel Plants National Research University "Moscow Power Engineering Institute" Moscow Russia Department of Hydraulic Power and Renewable Energy Sources National Research University "Moscow Power Engineering Institute" Moscow Russia

Methods of mathematical modeling of the dependence of fuel consumption on the load of diesel gensets are considered. Accounting for such dependence in simulating the operation of solar-diesel hybrid power systems can reduce the consumption of diesel fuel and the operating hours of diesel generators. © Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Diesel power plants

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automation 5.0: The Key to systems Intelligence and Industry 5.0

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

automation has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： automation machinery intelligence

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Persistent Coverage in Non-Convex Environments with Heterogeneous Robotic Networks: Constraint-based Approach ⋆

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IFAC-PapersOnLine 2023年第2期56卷 10708-10714页

作者： J.G. Martin T. Hatanaka J.M. Maestre E.F. Camacho Department of Systems and Automation Engineering University of Seville Spain Department of Systems and Control Engineering Tokyo Institute of Technology

In this paper, we extend a constraint-based coverage control for robotic sensor networks based on control barrier functions (CBFs) for environments with known obstacles and different types of unmanned vehicles (UV). To this end, we use a sensing function that considers the vertices of the obstacles to compute the route and the distance regarding the UVs. This way, obstacle avoidance becomes intrinsic to the CBF ensuring the coverage performance. Moreover, we consider different obstacles and speeds for each type of UV. Finally, the proposed algorithm is illustrated with a heterogeneous fleet of UVs and obstacles in a simulated thermosolar power plant.

关键词： Coordination of multiple vehicle systems Graph-based methods for networked systems Networked robotic systems control barrier function (CBF) coverage control obstacles non-convex area

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Unformer: A Transformer-Based Approach for Adaptive Multiscale Feature Aggregation in Underwater Image Enhancement

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第4期6卷 1024-1037页

作者： Qing, Yuhao Wang, Yueying Yan, Huaicheng Xie, Xiangpeng Wu, Zhengguang Shanghai University School of Mechatronic Engineering and Automation Shanghai200444 China East China University of Science and Technology School of Information Science and Engineering Shanghai200237 China Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing210023 China Zhejiang University Institute of Cyber-Systems and Control Hangzhou310027 China

Underwater imaging is often compromised by light scattering and absorption, resulting in image degradation and distortion. This manifests as blurred details, color shifts, and diminished illumination and contrast, thereby hindering advancements in underwater research. To mitigate these issues, we propose Unformer, an innovative underwater image enhancement (UIE) technique that leverages a transformer-based architecture for multiscale adaptive feature aggregation. Our approach employs a multiscale feature fusion strategy that adaptively restores illumination and detail features. We reevaluate the relationship between convolution and transformer to develop a novel encoder structure. This structure effectively integrates both long-range and short-range dependencies, dynamically combines local and global features, and constructs a comprehensive global context. Furthermore, we propose a unique multibranch decoder architecture that enhances and efficiently extracts spatial context information through the transformer module. Extensive experiments on three datasets demonstrate that our proposed method outperforms other techniques in both subjective and objective evaluations. Compared with the latest methods, Unformer has improved the peak signal-to-noise ratio (PSNR) by 19.5% and 14.8% respectively on the LSUI and EUVP datasets. The code is available at: https://***/yhflq/Unformer. © 2024 IEEE.

关键词： Light scattering

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Voltage and power control for distributed generation units in islanded microgrids 6th

Voltage and power control for distributed generation units i...

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6th International Conference on Renewable Energies Offshore, RENEW 2024

作者： Rouch, T. Bagheri M’zoughi, F. Aboutalebi, P. Ahmad, I. Garrido, A.J. Garrido, I. Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao University of the Basque Country Bilbao Spain

ISBN: (纸本)9781032905570

This article presents an optimized control strategy tailored for DC islanded microgrids, featuring a voltage controller based on mixed H2/H∞ state feedback using linear matrix inequalities (LMIs) and a power controller guided by droop characteristics. A polytopic modeling approach addresses system uncertainties and nonlinearities. The controller aims to stabilize the system, reject disturbances, equitably distribute power among distributed generation units (DGUs), and minimize energy consumption. Regional pole placement ensures welldamped transient responses. Simulation results demonstrate effective management of load perturbations and DGU disconnections, with a comparative analysis against an H∞ controller offering additional insights into performance. © 2025 The Author(s).

关键词： Microgrids

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Super-resolution Thermal Generative Adversarial Networks for Infrared Image Enhancement

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Journal of institute of control, Robotics and systems 2022年第2期28卷 153-160页

作者： Lee, In Ho Chung, Won Yeung Park, Chan Gook Department of Aerospace Engineering Automation and Systems Research Institute Seoul National University Korea Republic of

Thermal infrared cameras create IR (infrared) images, thus enabling the recognition of objects regardless of weather, illuminance, or ambient color. With the recent development of deep learning, research interest in image conversion and super-resolution techniques has increased. This paper proposes an algorithm that converts electro-optical (EO) images to IR images using super-resolution techniques based on generative adversarial networks. ThermalWorld data were used as the learning data. Additionally, drones of EO and IR images were added using thermal infrared cameras. The proposed super-resolution technique adapts the loss function and neural network structure to generate a high-resolution IR image. The loss function learns the neural network by utilizing the difference between the actual image and the generated image, thereby generating an image while maintaining the shape of the object on the image. The resolution is further improved by densely connecting the generator neural network structure and removing batch normalization. Finally, the structure of the discriminator is changed, and the stability of learning improved using the spectral norm. Images are generated according to each change item and quantitatively verified through performance indicators of improved image quality. This study analyzes images made with super-resolution techniques by considering the results of performance indicators and discusses the possibility of using IR images;and presents future research directions. © ICROS 2022.

关键词： Infrared imaging

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Cooperative Look-ahead Lane Change System for Improving Driving Intelligence of Automated Vehicles in Critical Scenarios

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第9期9卷 1-13页

作者： Kamal, Md Abdus Samad Bakibillah, A.S.M. Hayakawa, Tomohisa Yamada, Kou Imura, Jun-ichi Division of Mechanical Science and Technology Graduate School of Science and Technology Gunma University 1-5-1 Tenjincho Kiryu Japan Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology Tokyo Japan

Traffic accidents often result in quick bottlenecks and increase injudicious lane changes near incidents (or lane blockage), worsening collision risks, congestion, and fuel consumption. As a practical solution, this paper proposes a novel cooperative look-ahead lane change (Co-LLC) system for automated vehicles (AVs) to mitigate sudden accident-induced traffic effects by improving driving intelligence and safety in critical scenarios. The proposed Co-LLC system comprises the state prediction model, safety and impact evaluation unit, and decision system. Firstly, we analyze the immediate impacts of traffic accidents and identify that a lack of anticipation causes a lane change hot spot near the incident. Consequently, most attempts to change lanes early are unsuccessful due to uncooperative behavior from vehicles in the destination lane. Secondly, we design anticipatory and cooperative lane change systems for AVs to decide the need and feasibility of a lane change in advance. Thus, the proposed system enables AVs to change lanes smoothly and cooperate with other vehicles during lane changes. Finally, we investigate the impact of different penetration rates of AVs using the proposed system on overall traffic performance. The performance of our proposed system is compared to the traditional driving system, and the results show that our proposed system improves the lane-changing behavior of AVs, assists traditional vehicles in changing their lanes smoothly, and mitigates sudden accident-induced traffic impacts. Moreover, the proposed system improves the overall traffic performance with increased penetration rates. Our proposed system is computationally efficient and suitable for real-time driving in critical traffic scenarios. IEEE

关键词： Traffic congestion

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Uncertainty and its Effect on Optimal Multidrug control of Hemodynamic Variables

Uncertainty and its Effect on Optimal Multidrug Control of H...

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2024 American control Conference, ACC 2024

作者： Popescu, Teodora Birs, Isabela R. Othman, Ghada Ben Yumuk, Erhan Mihai, Marcian Hegedus, Erwin Copot, Dana De Keyser, Robin Ionescu, Clara M. Muresan, Cristina I. Technical University of Cluj-Napoca Department of Automation Cluj-Napoca Romania Ghent University Research Group on Dynamical Systems and Control Department of Electromechanics Systems and Metal Engineering Tech Lane Science Park 125 Gent9052 Belgium Istanbul Technical University Department of Control and Automation Engineering Maslak Istanbul34469 Turkey

ISBN: (纸本)9798350382655

Computer aided control in biomedical applications is gaining more and more popularity due to numerous research studies that have proven the efficiency of automatic control over manual dosing, which is highly susceptible to human errors. Optimal drug dosing is best achieved using automatic control, which triggers important benefits in terms of both costs and patient side-effects. However, mathematical models for patients are highly susceptible to large modeling uncertainty. A predictive control algorithm is designed in this paper for optimal multidrug control of hemodynamic variables. Improved closed loop performance is obtained compared to similar control strategies, for ± 30% modeling uncertainty. The simulation results demonstrate that predictive control is a feasible solution for optimal drug dosing. An analysis of the closed loop performance for significant patient variability shows that controllers tuned using a nominal patient model often fail to achieve desired robustness. To limit the effect of modeling uncertainty, the prediction model should be updated using an online identification tool to extract patient features. © 2024 AACC.

关键词： Predictive control systems

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Path Planning Using Improved Hybrid A∗ Algorithm for Mobile Robots 25

Path Planning Using Improved Hybrid A∗ Algorithm for Mobile...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Cheng, Zikang Xue, Jingbo Wang, Bo Dong, Guangzhong Wei, Jingwen Chen, Chunlin Nanjing University Department of Control Science and Intelligence Engineering Naning China Harbin Institute of Technology Shenzhen School of Mechanical Engineering and Automation Shenzhen China

ISBN: (纸本)9798350366600

The Hybrid A∗ algorithm is suitable for Ackermann-type mobile robots with nonholonomic constraints. However, in practical path planning, such issues as long search times, inefficient search efficiency, and excessive planning path changes causing unstable robot motion still exist. To improve the effectiveness of path planning, this paper optimizes the Hybrid A∗ algorithm by using variable search step size and designing a path evaluation function during node expansion. Path planning experiments are conducted based on simulation and physical experimental platforms. The results show that the improved algorithm reduces the search nodes and planning time, effectively enhancing the algorithm's search performance and efficiency. In addition, it avoids pose errors caused by reverse driving, ensuring the priority and smoothness of forward driving, and achieves efficient and stable path planning for Ackermann-type mobile robots. © 2024 IEEE.

关键词： Mobile robots

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On the Trail of West - East Signalling Interoperability: A Novel Proposal for an STM and an Interface Proposal for ETCS Onboard Operations on Class B Trackside Signalling systems 14

On the Trail of West - East Signalling Interoperability: A N...

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14th International Conference on Electrical and Electronics engineering, ELECO 2023

作者： Çiftcioǧlu, Çaǧla Kivilcim Turan Söylemez, Mehmet Istanbul Technical University Railway Systems Engineering Istanbul Turkey Istanbul Technical University Control and Automation Engineering Department Istanbul Turkey

ISBN: (纸本)9798350360493

ERTMS and ALSN signalling systems are two of the major signalling systems that are under operation in the world. With the introduction of technical specifications for interoperability, ERTMS promises increased passenger and freight attractiveness and seamless cross-border operation. The ERTMS specifications recognise ETCS as a Class A train protection system and other signalling systems in Europe as Class B train protection systems. The specifications further define 'Specific Transmission Modules' (STMs) that enable trains with ETCS onboard to operate in railway lines that are equipped with Class B train protection systems. Although ALSN is classified as a Class B train protection system, ALSN STM is not defined yet. This paper focuses on proposing a novel ALSN STM that enables trains with ETCS onboard to operate in the countries where ALSN trackside is operational. The proposed STM unit is conceptualised as a system architecture, and a new standardised interface is introduced to enable signalling interoperability between ERTMS and ALSN. © 2023 IEEE.

关键词： Interoperability

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