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arXiv 2025年

作者： Cui, Bohan Yu, Xinyi Giua, Alessandro Yin, Xiang Department of Automation Key Laboratory of System Control and Information Processing Shanghai Jiao Tong University Shanghai200240 China Thomas Lord Department of Computer Science University of Southern California Los AngelesCA90089 United States Department of Electrical and Electronic Engineering University of Cagliari Cagliari09123 Italy

In this paper, we investigate the control synthesis problem for Signal Temporal Logic (STL) specifications in the presence of uncontrollable agents. Existing works mainly address this problem in a robust control setting by assuming the uncontrollable agents are adversarial and accounting for the worst-case scenario. While this approach ensures safety, it can be overly conservative in scenarios where uncontrollable agents have their own objectives that are not entirely opposed to the system’s goals. Motivated by this limitation, we propose a new framework for STL control synthesis within the Stackelberg game setting. Specifically, we assume that the system controller, acting as the leader, first commits to a plan, after which the uncontrollable agents, acting as followers, take a best response based on the committed plan and their own objectives. Our goal is to synthesize a control sequence for the leader such that, for any rational followers producing a best response, the leader’s STL task is guaranteed to be satisfied. We present an effective solution to this problem by transforming it into a single-stage optimization problem and leveraging counterexample guided synthesis techniques. We demonstrate that the proposed approach is sound and identify conditions under which it is optimal. Simulation results are also provided to illustrate the effectiveness of the proposed framework. © 2025, CC BY.

关键词： control system synthesis

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What is the cost and potential of low carbon electricity transition in the MENA region?

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Energy Strategy Reviews 2025年 59卷

作者： Bamisile, Olusola Xing, Yankai Acen, Caroline Cai, Dongsheng Zhang, Guangdou Adun, Humphrey Staffell, Iain Electrical Engineering Department College of Nuclear Science and Automation Engineering Chengdu University of Technology Sichuan China Centre for Environmental Policy Faculty of Natural Science Imperial College London United Kingdom Energy and Environmental Science Division CEPMLP University of Dundee United Kingdom Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University China Operational Research Centre in Healthcare Near East University TRNC Mersin 10 Nicosia99138 Turkey

Replacing fossil fuels with renewable energy sources, including wind and solar power, is a validated approach for mitigating carbon emissions. To maximize renewable energy potential and account for costs and impacts of low carbon energy transitions, research models or modelling tools must provide an accurate representation of the technological and economic capabilities of renewable energy technologies. Hence, this study assesses the electricity generation potential, and costs associated with onshore and offshore wind power, and solar photovoltaic (PV) system, in the Middle East and North Africa (MENA) region based on wind and solar atlas datasets. Unlike existing works in literature, the assessment of offshore wind energy potential and the calculation of the levelized cost of electricity (LCOE) in this study incorporates factors like water depth, distance from shore, and wind speed. Also, the potential of onshore wind energy and solar photovoltaic systems is evaluated by considering variables such as population density, availability of suitable land area, and geographical location, for every grid cell in the MENA region. We found that the average LCOE can be as low as US$40/MWh for solar PV and US$45/MWh for wind power, achieved in Saudi Arabia and Kuwait respectively. This work contributes to existing literature by providing reliable LCOE, capacity factor, and productivity data for solar and wind energy potential estimation in the MENA region. © 2025 The Authors

关键词： Solar fuels

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Combined control system for Structural and Parametric Uncertain Non-Affine Plants with Delay in control

Combined Control System for Structural and Parametric Uncert...

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2020 International Multi-Conference on Industrial engineering and Modern Technologies, FarEastCon 2020

作者： Eremin, E.L. Nikiforova, L.V. Shelenok, E.A. Amur State University Information and Control Systems Department Blagoveshchensk Russia Automation and System Engineering Department Khabarovsk Russia

ISBN: (纸本)9781728169514

Under conditions of priori parametric and structural uncertainties and influence of external noise, the synthesis of combined control law for class of non-affine single-channel plants with scalar output in the presence of control delay is considered. To compensate the negative effect of known delay in control the predictor-compensator is connected in parallel with the plant in the system. The synthesis of structure of the combined regulator is based on use of the hyperstability criterion. Estimates of unmeasured state variables are obtained with the help of filter corrector;therefore, the synthesized system is L-dissipative. To confirm the operability of the obtained system and ensure the required quality of its transient processes, it is performed simulation modeling of the synthesized system. The results of simulation showed that the developed system satisfies the required properties and provides the desired quality of the non-affine plant functioning in the presence of control delay and uncontrolled external disturbances. © 2020 IEEE.

关键词： Quality control

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Unobtrusive and Non-Invasive Human Activity Recognition using Kinect Sensor 2

Unobtrusive and Non-Invasive Human Activity Recognition usin...

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Indo - Taiwan 2nd International Conference on Computing, Analytics and Networks, Indo-Taiwan ICAN 2020

作者： Nehra, Shalini Raheja, Jagdish Lal Control Automation Group Cyber Physical System Area CSIR-Central Electronics Engineering Research Institute Pilani India

ISBN: (纸本)9781728149998

The main objective of this paper is to present a depth imaging human activity recognition system that is basically used to monitor and detect normal activities of the person in the indoor environment. The Proposed system runs in real-time and is capable of detecting moving falls, sitting fall accurately and robustly without taking into account any false positive activities. Human activity recognition with high accuracy is a huge challenge in the research world. Fall detection is an important technology in health care and elderly person activity monitoring. The proposed method is feasibility and workability are illustrated throughout the experimental result that shows the perfect human tracking and activity detection. system works well with low lighting conditions;lighting does not affect the accuracy of detecting activities. Moreover, the proposed method is able to avoid false positive as: lying down, retrieve something from the floor. © 2020 IEEE.

关键词： Feature extraction

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Improved Auction Algorithm for Weapon Target Assignment with Firepower-Health Model

Improved Auction Algorithm for Weapon Target Assignment with...

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Chinese control Conference (CCC)

作者： Shuobo Wang Yong Heng Yongzhao Hua Xiwang Dong Zhang Ren Institute of Artificial Intelligence Beihang University Beijing P.R. China Beijing Institute of Electronic System Engineering Beijing PR China School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing P.R. China

This paper proposes an improved auction algorithm to optimize the efficiency of dynamic weapon target assignment (WTA) problem. Firstly, the dynamic battlefield environment of firepower-health model is analyzed and the constraints of weapon assignment problem are established. The firepower-health model is about the idea of adding constraints of weapon firepower and target health to promote the result of assignment more effectively. Secondly, in order to improve the computing speed of WTA algorithm, the penalty mechanism is introduced in the compensation auction algorithm. The main idea of improved algorithm is to reduce the extra consuming of the weapon during the assignment, from which penalty mechanism can optimize the assignment results and reduce the number of algorithm iterations by punishing the overkilled target under certain rules. Finally, the simulation results based on the dynamic firepower-health model show that the proposed algorithm can meet the requirements of firepower allocation, and can promote the effectiveness of assignment with high real-time response.

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An Automatic Ridge Estimation Method for Tacholess Order Tracking of Wind Turbine Gearbox Under Varying-Speed Operation

SSRN

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SSRN 2023年

作者： Liu, Changliang Liu, Shaokang Wu, Yingjie Liu, Weiliang Liu, Shuai Control and Computer Engineering Department University of North China Electric Power Beijing102200 China Baoding key Laboratory of State Detection and Optimization Regulation for Integrated Energy System Baoding071000 China Automation Engineering Department University of Northeast Electric Power Jinlin132000 China

The instantaneous shaft speed estimation method of wind turbine gearbox based on time-frequency ridge estimation is the most widely used method, but it requires parameter adjustment and expert knowledge to ensure the accuracy of ridge estimation, which significantly reduces the effectiveness of such methods in practice. In this paper, an end-to-end automated ridge estimating (ARE) method is proposed. ARE uses the inherent harmonic relationship in the vibration signal of wind turbine (WT) gearbox to construct a selection index for automatically selecting the target ridge with clear physical meaning. Then, a sub-region division strategy is proposed to avoid the interference of other components and improve computational efficiency. Finally, a parameter-free objective function considering both the amplitude and smoothness of the ridge is proposed to achieve target ridge estimation. The vibration signals of different WT gearboxes collected on-site were applied to verify the performance of ARE. The result shows that ARE realizes the automatic estimation of a ridge. It outperforms other methods in terms of accuracy and computational efficiency. © 2023, The Authors. All rights reserved.

关键词： Computational efficiency

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Space Charge Transport of Al2O3/Silicone Rubber Composites under Thermal Aging

Space Charge Transport of Al2O3/Silicone Rubber Composites u...

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2022 IEEE International Conference on High Voltage engineering and Applications, ICHVE 2022

作者： Zhang, Yunxiao Yan, Chenning Wu, Kai Zhou, Yuanxiang Zhang, Tianfeng College of Electrical Engineering and Automation Fuzhou University Fujian Fuzhou China Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing China School of Electrical Engineering Xinjiang University The Wind Solar Storage Division State Key Laboratory of Power System and Generation Equipment Urumqi China Electric Power Research Institute Anhui Electric Power Company of State Grid Hefei China

ISBN: (纸本)9781665407502

Silicone rubber (SIR) has been widely used in the insulation of cable accessories due to its excellent performance. In this paper, pure SIR and nano Al2O3/SIR composites are thermally aged for 0-80 days at 200°C. The effects of long-term thermal aging on the space charge transport are analyzed. The results show that with the increase of thermal aging time, the accumulation of heteropolar charge of pure SIR and nano Al2O3/SIR composites gradually decreases and changes to the accumulation of homopolar charge. Compared with pure SIR, the space charge accumulation of Al2O3/SIR composites decreases significantly and changes little with the increase of thermal aging time. It is believed that when doped nano Al2O3 in SIR, the increase of carrier mobility and the introduction of metal oxides reacting with fallen free radicals to form stable compounds both lead to less space charge accumulation of Al2O3/SIR composites. © 2022 IEEE.

关键词： Aluminum oxide

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Comparison between Line-Followers and Free Movement Robots in Tasks Execution in a Simulated Environment

Comparison between Line-Followers and Free Movement Robots i...

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IEEE Latin American Robotics Symposium, LARS

作者： Igor Pardal Latini Wilson Eduardo Barioni Marco Teixeira Flavio Neves-Jr Lucia Valeria Ramos de Arruda Universidade Tecnológica Federal do Paraná (UTFPR) Curitiba Parana Brazil Automation and Advanced Control System Laboratory (LASCA) Graduate Program in Electrical and Computer Engineering (CPGEI)

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

In Industry 4.0, there is a constant pursuit for efficiency and productivity, and, searching to achieve this, the usage of multiple robots to attend to several tasks simultaneously is usual. Nowadays, there is plenty of robotic architectures, having their navigation system based on numerous different sensors. This work compares the line-follower robots, having a determined path, with the free-moving robots that navigate based on odometry, for load collecting and delivery tasks in specific locations. For this, four simulated experiments are run in two scenes, with two and four tasks, respectively. The comparison is based on a difference in robot quantity, with more line-followers than free-moving ones, aiming to collect values such as idle time, task wait time, and the number of tasks done for each machine. The results show advantages in using less but more intelligent robots with free movement. Such robots are not bound to one unique task and can use their idle time to roam and complete other processes. However, the task wait time is a concerning issue, as too few robots for overcharged situations can increase execution delays.

关键词： Service robots Navigation Robot sensing systems Time measurement Sensor systems Sensors Delays

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PIGWN: Physics-Informed Graph WaveNet for Airport Flight Traffic Flow Prediction

PIGWN: Physics-Informed Graph WaveNet for Airport Flight Tra...

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International Conference on Industrial Artificial Intelligence (IAI)

作者： Zhichao Yang Yinghao Zhu Ziyue Niu Yanru Huang Chengwei Pan Xiwang Dong School of Artificial Intelligence Beihang University Beijing China China Academy of Launch Vehicle Technology Beijing China School of Artificial Intelligence Institute of Unmanned System School of Automation Science and Electrical Engineering Beijing China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China

ISBN: (数字)9798350356618

ISBN: (纸本)9798350356625

The continuous growth of global travel demand leads to the continuous rise of airport flight flow, leading a rising need to accurately predict the airport flight traffic flow. Current research predominantly employs Graph Convolutional Neural Networks (GCN) to model intra-airport traffic changes, but overlooks comprehensive modeling of air traffic routes and temporal dimensions. Furthermore, existing models rely on data-driven approaches lacking a deep understanding of traffic change mechanisms, resulting in poor performance in new scenarios. To solve these problems, we propose a deep learning network framework Physics-Informed Graph WaveNet (PIGWN) based on multi-scale feature data fusion and constructs two new airport domain data sets. We integrated a physics-based module prior to GraphWaveNet to learn and integrate multi-scale spatio-temporal information of airports, embedding physical formulas reflecting airport traffic changes. The physics learning module fuses multi-scale spatio-temporal feature data considering the time delay and traffic conservation relationship between different airports. The Graph WaveNet (GWN) structure learns and predicts multi-scale spatio-temporal feature data, and uses the time-space convolution block model to capture and model spatio-temporal features. PIGWN model has certain theoretical significance and practical application value in the field of airport flight flow prediction, which realizes the accurate prediction of airport flight flow and provides certain decision support and reference for air traffic management. We have made the code publicly available at https://***/yzc0912/PIGWN.

关键词： Deep learning Measurement Adaptation models Atmospheric modeling Data integration Predictive models Airports Graph neural networks Data models Physics

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Design, Fabrication, and Characterization of Soft Robotic Claw Inspired by Parrot Feet for Grasping

SSRN

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SSRN 2024年

作者： Hao, Tianze Feng, Jingjing Ma, Yue Liu, Songtao Wang, Jutao Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology School of Mechanical Engineering Tianjin300384 China Automation Equipment Company Limited Tianjin301701 China Tianjin University of Technology China

Soft pneumatic actuators (SPAs) have demonstrated the ability to generate contraction, expansion, and bending strokes in three-dimensional space during pressurization. Gripper composed of SPAs are expected to serve as end effectors to improve the adaptability and lightweight of mobile robots in complex environments. In this study, a soft robotic claw inspired by the zygodactyl structure of parrot feet is developed featuring pneu-net actuators with oblique air chambers. These chambers enable bending and twisting movements, ensuring effective contact with the cylindrical landing objects. Integration of a thin steel sheet as the strain limiting layer not only improves static stability, but also augments the output force by approximately 57%, significantly ameliorating the claw’s gripping strength. Comparative gripping tests on diverse everyday items, indicate that while soft claw with vertical chambers adeptly handle centrosymmetric objects, whose with oblique chambers excel at at securing objects with large diameters, making them particularly suitable for perching applications on unmanned aerial vehicles. Moreover, enhancing the actuators with a uniformly soft surface texture, approximately 1.8 mm in height, notably increases friction force, thereby improving grip and stability. Comprehensive static stability assessments on birch logs confirmed its effective gripping and perching capabilities. The proposed soft claw has certain application prospects in situations that require flexible operation and complex grasping tasks due to its lightweight, flexibility, and strong adaptability. © 2024, The Authors. All rights reserved.

关键词： Pneumatic actuators

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