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arXiv 2025年

作者： Coppitters, Diederik Wiest, Gabriel Göke, Leonard Contino, Francesco Bardow, André Moret, Stefano Place du Levant 2 Louvain-la-Neuve1348 Belgium Energy & Process Systems Engineering Department of Mechanical and Process Engineering ETH Zürich Switzerland Reliability and Risk Engineering Institute of Energy and Process Engineering ETH Zürich Switzerland

Disruptions in energy imports, backlash in social acceptance, and novel technologies failing to develop are unexpected events that are often overlooked in energy planning, despite their ability to jeopardize the energy transition. We propose a method to explore unexpected events and assess their impact on the transition pathway of a large-scale whole-energy system. First, we evaluate unexpected events assuming "perfect foresight", where decision-makers can anticipate such events in advance. This allows us to identify dealbreakers, i.e., conditions that make the transition infeasible. Then, we assess the events under "limited foresight" to evaluate the robustness of early-stage decisions against unforeseen unexpected events and the costs associated with managing them. A case study for Belgium demonstrates that a lack of electrofuel imports in 2050 is the main dealbreaker, while accelerating the deployment of renewables is the most robust policy. Our transferable method can help policymakers identify key dealbreakers and devise robust energy transition policies. Copyright © 2025, The Authors. All rights reserved.

关键词： Energy transition

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Emergency control Strategy of a Reconfigurable Quadrotor with Total Loss of One Rotor 19

Emergency Control Strategy of a Reconfigurable Quadrotor wit...

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19th IEEE International Multi-Conference on systems, Signals and Devices, SSD 2022

作者： Salmi, Abdenour Guiatni, Mohamed Bouzid, Yasser Derrouaoui, Saddam Hocine Boudjema, Fares Ecole Militaire Poly Technique Complex Systems Control and Simulators Laboratory Algiers Algeria Ecole Nationale Poly Technique Process Control Laboratory Algiers Algeria

ISBN: (数字)9781665471084

ISBN: (纸本)9781665471084

In this paper, an emergency control strategy is developed for a new reconfigurable quadrotor with foldable rotor arms to deal with a total loss of one of its rotors. The proposed strategy allows to adapt the configuration of the quadrotor when severe fault is occurred in one rotor. The reconfigurable quadcopter changes its shape by folding the two adjacent rotor arms to the damaged one and performs as a trirotor. Since the shape transformation induces a variation of vehicle's center of gravity which results variations of the inertia and the control matrix, an emergency sliding mode controller is designed based on control allocation matrix, where the control efforts are redistributed among healthy actuators in the resulting configuration of the quadrotor. Simulation results show that the proposed strategy is successful in controlling the damaged quadrotor until achieving its trajectory. © 2022 IEEE.

关键词： controllers

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Soft Acoustic End-effector

Soft Acoustic End-effector

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Zhiyuan Zhang Michael Koch Daniel Ahmed Department of Mechanical and Process Engineering Acoustic Robotics Systems Laboratory Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Acoustic techniques have been developed as multifunctional tools for various microscale manipulations. In prevalent design paradigms, a position-fixed piezoelectric transducer (PZT) is utilized to generate ultrasound waves. However, the immobility of the PZT restricts the modulation of the acoustic field's position and orientation, consequently diminishing the adaptability and effectiveness of subsequent acoustic micromanipulation tasks. Here, we proposed a miniaturized soft acoustic end-effector and demonstrated acoustic field modulation and microparticle manipulation by adjusting PZT position and orientation. The PZT is mounted on the end of a soft robotic arm that has three individual degrees of freedom and can be deformed in 3D space by inflating or deflating each chamber. Experiments showed that the soft acoustic end-effector can change the traveling direction of microparticles and modulate the location of a standing wave field. Our approach is simple, flexible, and controllable. We envision that the soft acoustic end-effector will facilitate multiscale acoustic manipulation in interdisciplinary applications, especially, for in vivo acoustic therapies.

关键词： Three-dimensional displays Ultrasonic imaging Modulation Medical treatment Soft robotics Acoustics End effectors

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Data-Driven Robust Optimization for the Operation Optimization of Industrial Power Station

Data-Driven Robust Optimization for the Operation Optimizati...

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International Conference on Energy Conservation and Efficiency (ICECE)

作者： Waqar Muhammad Ashraf Vivek Dua Department of Chemical Engineering The Sargent Centre for Process Systems Engineering University College London London UK

Operation optimization of industrial power stations is a challenging task owing to the operational uncertainties associated with the variables and hyperdimensional system design. Thus, conducting the mathematical model based robust optimization for such large system is computationally prohibitive as well as expensive task. To this end, we have presented data-driven robust optimization framework that is built on machine learning based model (Data Information integrated Neural Network (DINN)) and nonlinear programming (NLP) technique. The robust optimization framework is applied for the operation optimization of 660 MW capacity power station. The DINN models are trained on the historical data of the industrial power station to model thermal efficiency, power and heat rate –three performance metrics of the power station. Extensive hyperparameters tuning and validation of the DINN models are carried out to select better predictive models for the three output variables. Later, multiobjective optimization problem is formulated to maximize thermal efficiency, power, and minimize the turbine heat rate by NLP technique. The estimated solution of the multi-objective function is perturbed by 10000 gaussian noise to evaluate the robustness of the estimated solution. The achieved robust solution offers optimal thermal efficiency of 42.11% and heat rate of 7642 kJ/kWh at power = 658 MW while the variance produced in the function remains less than 0.01 –the threshold can be set by the user. The proposed data-driven robust optimization framework presented in this paper can be a computational effective and cheap approach to conduct the operation optimization analytics of the industrial systems subjected to the various operational uncertainties.

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Dynamic Self-Triggered control for Nonzero-Sum Games of Unknown Nonlinear Constrained systems via Generalized Fuzzy Hyperbolic Models

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IEEE Transactions on systems, Man, and Cybernetics: systems 2025年第5期55卷 3506-3518页

作者： Liu, Fan Su, Hanguang Zhang, Huaguang Luo, Biao Wang, Jiawei Northeastern University School of Information Science and Engineering Shenyang110004 China Northeastern University School of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China Central South University School of Automation Changsha410083 China Northeastern University National Frontiers Science Center for Industrial Intelligence and Systems Optimization Shenyang110819 China

In this article, a novel adaptive dynamic programming algorithm is devised to handle the multiplayer nonzero-sum (NZS) games of completely unknown nonlinear systems, subject to state and input constraints under the dynamic self-triggered mechanism. Initially, in order to eliminate the demand for system dynamics, a generalized fuzzy hyperbolic model based identifier is established, which only relies on input-output data. Then, the equivalent transformation of the reconstructed system is implemented by virtue of barrier functions. With the aid of the nonquadratic utility function, the Hamilton-Jacobi equation of the NZS game is derived. After that, an adaptive critic scheme with experience replay is employed to acquire the Nash equilibrium solution. Furthermore, a novel dynamic self-triggered rule is proposed with the dead-zone operation, which not only significantly reduces source consumption but also overcomes the implementation difficulty of monitoring hardware in the event-triggered mechanism. Moreover, the stability of the system and the uniform ultimate boundedness of the critic weights are guaranteed. Ultimately, two simulation examples are given to validate the feasibility of the developed method. © 2025 IEEE.

关键词： Adaptive algorithms

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Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method

arXiv

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arXiv 2025年

作者： Zhang, Zhong-Yi Xu, Chen-Yang Zhao, Li-Xuan Hou, Hui-Rang Meng, Qing-Hao Tianjin Key Laboratory of Process Measurement and Control Institute of Robotics and Autonomous Systems School of Electrical and Information Engineering Tianjin University Tianjin300072 China

Electroencephalogram (EEG) is a non-invasive tool for real-time neural monitoring, widely used in depression detection via deep learning. However, existing models primarily focus on binary classification (depression/normal), lacking granularity for severity assessment. To address this, we proposed the DepL-GCN, i.e., Depression Level classification based on GCN model. This model tackles two key challenges: (1) subjectivity in depression-level labeling due to patient self-report biases, and (2) class imbalance across severity categories. Inspired by the model learning patterns, we introduced two novel modules: the sample confidence module and the minority sample penalty module. The former leverages the L2-norm of prediction errors to progressively filter EEG samples with weak label alignment during training, thereby reducing the impact of subjectivity;the latter automatically upweights misclassified minority-class samples to address imbalance issues. After testing on two public EEG datasets, DepL-GCN achieved accuracies of 81.13% and 81.36% for multi-class severity recognition, outperforming baseline models. Ablation studies confirmed both modules’ contributions. We further discussed the strengths and limitations of regression-based models for depression-level recognition. Copyright © 2025, The Authors. All rights reserved.

关键词： Electroencephalography

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High throughput spectroscopy of pL droplets

arXiv

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arXiv 2024年

作者： Sulliger, Marc Arroyo, Jaime Ortega Quidant, Romain Nanophotonic Systems Laboratory Department of Mechanical and Process Engineering ETH Zurich Zurich8092 Switzerland

Droplet microfluidics offers a versatile platform for analyzing liquid samples. Despite its potential, there is a lack of techniques that allow to reliably probe individual circulating droplets. The prospect of combining droplet microfluidics with sensitive, broadband spectroscopic techniques would therefore unlock new capabilities for various disciplines, including biomedicine and biochemistry. Here we present an integrated optofluidic platform that seamlessly combines droplet microfluidics and advanced hyperspectral imaging. This enables high-resolution, label-free analysis of single picolitre-sized droplets, providing valuable insights into their content. As a proof-of-principle, we demonstrate the ability of our platform to study rapid dynamic changes in a heterogeneous population of plasmonic nanoparticles with millisecond-time resolution. Furthermore, we demonstrate the effectiveness of the platform in biosensing applied to short DNA strands, achieving a detection sensitivity in the range of 100 pM. Finally, we show that the platform provides the flexibility to monitor samples over extended periods of time (hours) in a multiplexed manner. © 2024, CC BY.

关键词： Drops

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Synthesis ofγ-MnS/nanoporous carbon/reduced graphene oxide composites for high-performance supercapacitor

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Carbon Resources Conversion 2022年第3期5卷 222-230页

作者： Abiola Ganiyat Olatoye Jie Zhang Qianyu Wang Erping Cao Wenli Li Emmanuel Oluwaseyi Fagbohun Yanbin Cui State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

In the present work,nanoporous carbon(NPC)was prepared from a metal-organic framework(zeolite imidazolate framework 8,ZIF-8).Different concentrations of graphene oxide(GO)were used to make NPC/reduced graphene oxide(NPC/rGO-x,x=0.5,1.0,1.5,and 2.0)composites,and thenγ-MnS/NPC/rGO-1 composite was synthesized via a simple hydrothermal *** electrochemical characteristics of porous carbon composites(NPC/rGO-x)andγ-MnS/NPC/rGO-1 electrodes were investigated by galvanostatic charge and discharge,cyclic voltammetry,and electrochemical impedance ***/rGO-1 showed the highest specific capacitance of 207 F/g at 0.5 A/***,theγ-MnS/NPC/rGO-1 electrode demonstrates exceptional electrochemical performance with a high specific capacitance of 300 F/g at 0.5 A/g and impressive cyclic stability of 70%capacitance retention after 10,000 cycles at 1 A/*** a result,this study demonstrates thatγ-MnS/NPC/rGO-1 electrode can be considered a promising candidate for high-performance supercapacitors.

关键词： Metal-organic framework Nanoporous carbon Reduced graphene oxide γ-MnS Supercapacitor

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Ionic liquid catalyzed solvent-free synthesis of chalcone and its derivatives under mild conditions

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Chinese Journal of Chemical engineering 2021年第5期34卷 160-166页

作者： Qiu Zhao Gang Wang Fuxia Liao Yifan Sha Fei Xu Chunshan Li Zengxi Li Yijun Cao School of Chemical Engineering and Energy Zhengzhou UniversityZhengzhou 450001China Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex SystemsBeijing Key Laboratory of Ionic Liquids Clean ProcessInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Sciences University of Chinese Academy of SciencesBeijing 100049China

An ionic liquid(IL)catalyzed solvent-free process was developed for the direct synthesis of chalcone and its derivatives by using substituted acetophenones and benzaldehydes via aldol reaction under mild conditions.A series of acidic and basic ILs were selected and *** influences of cations and reaction conditions on product yield and selectivity were systematically ***[Bmim]OH was identified as the optimal IL,with the highest yield and selectivity reaching up to 96.7% and 100%,respectively.A reaction mechanism-based kinetic model was established and regressed with experimental data,revealing the β-Hydroxylketone dehydrolysis with activation barrier of 37.8 kJ·mol^(-1) was observed as the ratecontrolling step.

关键词： Ionic liquid Chalcone Aldol reaction Kinetic model

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Superior triethylamine-sensing properties based on SnO2 hollow nanospheres synthesized via one-step process

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Progress in Natural Science:Materials International 2024年第4期34卷 682-689页

作者： Mingyue Xu Shu Yan Zia Ur Rehman Jianhua Hou Liangyun Zhai Shengjie Zhu Chuanbao Cao Wanfeng Xie Junyu Zhong Jun Yang State Key Laboratory of Bio-fibers and Eco-textiles School of Electronics and Information College of Materials Science and Engineering College of Chemistry and Chemical Engineering Qingdao University College of Environmental Science and Engineering Yangzhou University State Key Laboratory of Chemical Safety SINOPEC Research Institute of Safety Engineering Co. Ltd. National Registration Center for Chemicals Ministry of Emergency Management Research Center of Materials Science Beijing Institute of Technology State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences

Due to serious harm of triethylamine（TEA） to environmental safety and human health, it is significant to synthesize gas-sensitive materials with high performance for TEA detection. However, it is still a challenge to achieve high-sensitivity detection of TEA at low temperature for a sensor synthesized through an economical and efficient method. In this work, hollow-structured SnO2（HS-SnO2） nanospheres have been fabricated by a facile, low-cost hydrothermal method in one step, which exhibit superior TEA-sensing properties, including not only ultrahigh response（127.75） for 100 ppm TEA, good selectivity, but also fast response and recovery time（17/28 s）, low detection threshold（1 ppm） and robust stability at a relatively low optimum operational temperature of 225°*** excellent gas-sensitizing performances are ascribed to porous hollow structures with rich oxygen vacancies that provide abundant active sites for raising O2adsorption and reaction of TEA and oxygen species. This work offers an effective and economical strategy for fabricating high-performance TEA sensors for industrial applications.

关键词： Hollow-structured SnO2 nanospheres TEA High response Gas sensors

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