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The impact of TiO 2 nanostructures on the physical properties and electrical performance of organic solar cells based on PTB7:PC 71 BM bulk heterojunctions

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Materials Today: Proceedings 2021年 42卷 1921-1927页

作者： Naser Al-Shekaili Suhairul Hashim Fahmi F. Muhammadsharif M.Z. Al-Abri Khaulah Sulaiman Mohd Y. Yahya Mohd Ridzuan Ahmed Department of Physics Faculty of Science Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Department of Physics Faculty of Science and Health Koya University Koya 44023 Kurdistan Region - F.R. Iraq Nanotechnology Research Centre Sultan Qaboos University PO Box 17 PC 123 SQU Al Khoudh Oman Department of Petroleum & Chemical Engineering College of Engineering Sultan Qaboos University PO Box 33 PC 123 SQU Al Khoudh Oman Low Dimensional Materials Research Centre Department of Physics Faculty of Science University of Malaya 50603 Kuala Lumpur Malaysia Centre for Advanced Composite Materials (CACM) Institute for Vehicle Systems & Engineering Faculty of Mechanical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia Department of Control and Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia

Hybrid organic solar cells based on pairs of donor and acceptor materials offer enhanced light absorption width and surface morphology. In order to investigate the role of introducing metal oxide nanoparticles (NPs) and thermal annealing on the optical, structural and morphological behaviours of the active layer polymers’ [poly([4,8-bis[(2-ethylhexyl)oxy]benzo[1,2-b:4,5-b′]dithiophene-2,6-diyl]{3-fluoro-2-[(2-ethylhexyl)carbonyl]thieno[3,4-b]thiophenediyl}):[6,6]-Phenyl-C71-butyric acid methyl ester (PTB7:PC 71 BM), thin films with and without the addition of 10% TiO 2 nanoparticles (NP) were prepared and characterized. Ultraviolet–Visible- Near-infrared (UV–Vis-NIR) Spectrophotometry, Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD) techniques were used to characterize the thin films. Results show that incorporation of the TiO 2 (NPs) with annealing treatment of the thin films enhanced the optical absorption and crystallinity of the PTB7:PC 71 BM blend. The device based on PTB7:PC 71 BM showed power conversion efficiency (PCE) of 5.6%. The incorporation of 10%-TiO 2 into the PTB7:PC 71 BM blend leads to a sharp drop in PCE (0.08%).

关键词： Hybrid solar cells Organic solar cells (OSCs) PTB7:PC 71 BM:TiO 2 Surface morphology J-V characteristic

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Co-Contraction Analyses of the Body Wall Muscles in Caenorhabditis Elegans by Calcium Imaging Assay and Simulation

Research Square

引用

Research Square 2021年

作者： Soh, Zu Yamashita, Hiroki Suzuki, Michiyo Sakamoto, Kazuma Tsuji, Toshio Department of Electrical Systems and Control Engineering Faculty of Advanced Science and Engineering Hiroshima University Hiroshima Higashi-Hiroshima739–8527 Japan Department of Radiation-Applied Biology Research Takasaki Advanced Radiation Research Institute National Institutes for Quantum and Radiological Science and Technology Gunma Takasaki370-1292 Japan

Caenorhabditis elegans can generate locomotion under various environments with completely different drag levels. Therefore, animals should have strategies for adapting to the changes in the dynamics of locomotion imposed by various environments. We hypothesized that co-contraction between the ventral and dorsal body wall muscles plays such a role and validated the presence of a co-contraction strategy through both experimental and mathematical modeling approaches. To this end, the fluorescence of calcium ion (Ca2+) corresponding to a part of activities of the body wall muscles was measured. The results indicated a significant difference in the co-fluorescence rate between the animals moving in low- and high-drag environments. The contribution of co-contraction to the dynamics of locomotion was then analysed using a body dynamics model. The simulation results suggested that co-contraction allows the dominance of body stiffness over viscous drag so that the phase difference between the local curvature of the body and muscle activities can be maintained under different environmental drag levels. Therefore, co-contraction can be an effective strategy for adapting to environmental drag that changes the dynamics of locomotion. © 2021, CC BY.

关键词： Drag

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KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation

arXiv

引用

arXiv 2021年

作者： Khiarak, Jalil Nourmohammadi Nasab, Samaneh Salehi Jaryani, Farhang Moafinejad, Seyed Naeim Pourmohamad, Rana Amini, Yasin Noshad, Morteza Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland School of Engineering Lorestan University Aleshtar Campus Aleshtar Iran Faculty of Engineering Arak University Arak Iran Department of Physics Shahid Beheshti University Tehran Iran School of Computing Informatics and Decision Systems Engineering Arizona State University AZ United States Faculty of Electrical and Computer Engineering University of Kharazmi Iran Stanford University Stanford United States

Iris segmentation and localization in unconstrained environments is challenging due to long distances, illumination variations, limited user cooperation, and moving subjects. To address this problem, we present a U-Net with a pre-trained MobileNetV2 deep neural network method. We employ the pre-trained weights given with MobileNetV2 for the ImageNet dataset and fine-tune it on the iris recognition and localization domain. Further, we have introduced a new dataset, called KartalOl, to better evaluate detectors in iris recognition scenarios. To provide domain adaptation, we fine-tune the MobileNetV2 model on the provided data for NIR-ISL 2021 from the CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa and our dataset. We also augment the data by performing left-right flips, rotation, zoom, and brightness. We chose the binarization threshold for the binary masks by iterating over the images in the provided dataset. The proposed method is tested and trained in CASIA-Iris-Asia, CASIA-Iris-M1, CASIA-Iris-Africa, along the KartalOl dataset. The experimental results highlight that our method surpasses state-of-the-art methods on mobile-based benchmarks. The codes and evaluation results are publicly available at https://***/Jalilnkh/KartalOl-NIR-ISL2021031301. Copyright © 2021, The Authors. All rights reserved.

关键词： Deep neural networks

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Incorporating forecasting and peer-to-peer negotiation frameworks into a distributed model predictive control approach for meshed electric networks

arXiv

引用

arXiv 2021年

作者： Monasterios, Pablo Baldivieso R. Verba, Nandor Morris, Euan A. Morstyn, Thomas Konstantopoulos, George C. Gaura, Elena McArthur, Stephen The School of Engineering University of Edinburgh EdinburghEH9 3JL United Kingdom The Department of Automatic Control & Systems Engineering University of Sheffield Sheffield United Kingdom The Faculty Research Centre for Computational Science & Mathematical Modelling Coventry University Coventry United Kingdom The Department of Electronic and Electrical Engineering University of Strathclyde Glasgow United Kingdom

The continuous integration of renewable energy sources into power networks is causing a paradigm shift in energy generation and distribution with regards to trading and control;the intermittent nature of renewable sources affects pricing of energy sold or purchased;the networks are subject to operational constraints, voltage limits at each node, rated capacities for the power electronic devices, current bounds for distribution lines. These economic and technical constraints coupled with intermittent renewable injection may pose a threat to system stability and performance. We propose a novel holistic approach to energy trading composed of a distributed predictive control framework to handle physical interactions, i.e., voltage constraints and power dispatch, together with a negotiation framework to determine pricing policies for energy transactions. We study the effect of forecasting generation and consumption on the overall network’s performance and market behaviours. We provide a rigorous convergence analysis for both the negotiation framework and the distributed control. Lastly, we assess the impact of forecasting in the proposed system with the aid of testing scenarios. © 2021, CC BY-SA.

关键词： Forecasting

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Disturbance Attenuation via Nonlinear Feedback for Chemical Reaction Networks

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IFAC-PapersOnLine 2020年第2期53卷 11497-11502页

作者： Lőrinc Márton Katalin M. Hangos Gábor Szederkényi Department of Electrical Engineering Sapientia Hungarian University of Transylvania Tirgu Mures Romania Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

This paper deals with the setpoint control of Chemical Reaction Networks (CRNs) in the presence of disturbances. The addressed control problem is traced back to the output feedback-based stabilization of passive systems. First, the passivity properties of complex balanced CRNs are discussed. Second, it is shown that, by combining the kinetic feedback based control with the passivity theory-based output feedback approach, arbitrary disturbance attenuation in controlled CRNs can be achieved. A case study is provided to demonstrate the applicability of the proposed control design approach.

关键词： Chemical Reaction Networks Passivity Setpoint control Disturbance Attenuation

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Structural systems theory: An overview of the last 15 years

arXiv

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arXiv 2020年

作者： Ramos, Guilherme Aguiar, A. Pedro Pequito, Sérgio Department of Electrical and Computer Engineering Faculty of Engineering University of Porto Portugal Delft Center for Systems and Control Delft University of Technology Delft2600 AA Netherlands

In this paper, we provide an overview of the research conducted in the context of structural systems since the latest survey by Dion et al. in 2003. We systematically consider all the papers that cite this survey as well as the seminal work in this field that took place on and after the publication of the later survey, are published in peer-reviewed venues and in English. Structural systems theory deals with parametric systems where parameters might be unknown and, therefore, addresses the study of systems properties that depend only on the systems structure (or topology) described by the inter-dependencies between state variables. Remarkably, structural systems properties hold generically (i.e., almost always) under the assumption that parameters are independent. Therefore, it constitutes an approach to assess necessary conditions that systems should satisfy. In recent years, structural systems theory was applied to design systems that attain such properties, as well as to endure resilient/security and privacy properties. Furthermore, structural systems theory enables the formulation of such topics as combinatorial optimization problems, which allow us to understand their computational complexity and find algorithms that are efficiently deployed in the context of large-scale systems. In particular, we present an overview of how structural systems theory has been used in the context of linear time-invariant systems, as well as other dynamical models, for which a brief description of the different problem statements and solutions approaches are presented. Next, we describe recent variants of structural systems theory, as well as different applications of the classical and new approaches. Finally, we provide an overview of recent and future directions in this field. Copyright © 2020, The Authors. All rights reserved.

关键词： Combinatorial optimization

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A Fault Tolerant control Scheme Using the Feasible Constrained control Allocation Strategy

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International Journal of Automation and computing 2019年第5期16卷 628-643页

作者： Mehdi Naderi Tor Arne Johansen Ali Khaki Sedigh Center of Excellence in Industrial Control Faculty of Electrical EngineeringK.N.Toosi University of TechnologySeyyed Khandan BridgeShariati AvenueTehran ***Iran Center for Autonomous Marine Operation and Systems Department of Engineering CyberneticsNorwegian University of Science and TechnologyTrondheim 7491Norway

This paper investigates the necessity of feasibility considerations in a fault tolerant control system using the constrained control allocation methodology where both static and dynamic actuator constraints are considered. In the proposed feasible control allocation scheme, the constrained model predictive control(MPC) is employed as the main controller. This considers the admissible region of the control allocation problem as its constraints. Using the feasibility notion in the control allocation problem provides the main controller with information regarding the actuator′s status, which leads to closed loop system performance improvement. Several simulation examples under normal and faulty conditions are employed to illustrate the effectiveness of the proposed methodology. The main results clearly indicate that closed loop performance and stability characteristics can be significantly degraded by neglecting the actuator constraints in the main controller. Also, it is shown that the proposed strategy substantially enlarges the domain of attraction of the MPC combined with the control allocation as compared to the conventional MPC.

关键词： control allocation feasibility fault tolerant control model predictive control domain of attraction

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Eight Become One: the EURECA-PRO University Network

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BHM Berg- und Huttenmannische Monatshefte 2022年第10期167卷 462-471页

作者： Kircher, Volkmar Feiel, Susanne Bongaerts, Jan C. Sishchuk, Julia Drebenstedt, Carsten Lagoudakis, Michail Fragkedaki, Konstantina García-Llamas, Paula Suárez-Corona, Adriana Fernández-Raga, María Baelo-Álvarez, Roberto Górski, Marcin Pawelczyk, Marek Hochstein, Synnöve Walter, Stefanie Speck, Maria Ravas, Oana Van Hellemont, Elke Vancauwenbergh, Sadia Resources Innovation Center Leoben Montanuniversität Leoben Leoben Austria Public Relations Office International Relations and University Cooperation Montanuniversität Leoben Leoben Austria Faculty of Business Administration Technische Universität Bergakademie Freiberg Freiberg Germany EURECA-PRO Head of work package education and studies Technische Universität Bergakademie Freiberg Freiberg Germany EURECA-PRO Head of educational council Technische Universität Bergakademie Freiberg Freiberg Germany School of Electrical and Computer Engineering Technical University of Crete Chania Greece EURECA-PRO European University Technical University of Crete Chania Greece Department of General and Specific Didactics and Educational Theory University of León Leon24071 Spain Department of Mathematical Sciences Universidad de León León24071 Spain Department of Applied Physics University of León León24071 Spain Faculty of Civil Engineering Silesian University of Technology Gliwice Poland Department of Measurements and Control Systems Silesian University of Technology Gliwice Poland Fakultät Medien Hochschule Mittweida Mittweida Germany International Relation Office University of Petroşani Petroşani Romania Rector’s Office Hasselt University Hasselt Belgium Directorate Research Library and Internationalisation Hasselt University Hasselt Belgium

The United Nations Sustainable Development Goal 12 is the foundation of the European University on Responsible Consumption and Production consortium (EURECA-PRO). This article introduces the eight EURECA-PRO partner universities: Montanuniversität Leoben (Austria), Technische Universität Bergakademie Freiberg (Germany), Technical University of Crete (Greece), University of León (Spain), Silesian University of Technology (Poland), Mittweida University of Applied Sciences (Germany), University of Petroşani (Romania), and Hasselt University (Belgium). In addition, each university’s role within the alliance and unique research and study programmes are outlined. The synergy created by EURECA-PRO enables the pursuit of an ambitious research agenda with five research "Lighthouse Missions" as well as the implementation of joint study programmes. © 2022, The Author(s).

关键词： Sustainable development

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Managed Pressure Drilling System State Estimation Using The Multiple Model Adaptive Estimation Approach

Managed Pressure Drilling System State Estimation Using The ...

引用

European control Conference (ECC)

作者： Amir Masoud Molaei Amir Hossein Nikoofard Ali Khaki-Sedigh Lars Imsland Department of Systems and Control Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (数字)9783907144022

ISBN: (纸本)9781728188133

This paper studies state estimation in the presence of parametric uncertainties, with flow estimation in Managed Pressure Drilling as a case study. Downhole measurements in most MPD systems have low frequency due to communication with mud-pulse telemetry. Also, the drilling process has parametric uncertainties due to unknown friction and fluid density and unmodeled actuator dynamics and noise add to the system complexity. This paper proposes a bank of estimators for simultaneous estimation of the model states. A Multiple-Model Adaptive Estimation (MMAE) algorithm is presented that encompasses a bank of Kalman Filters (KFs). Each KF is designed to handle a specific segment of the parametric uncertainty. In this algorithm, a probabilistically weighted combination of the local state estimations is used. Simulation results reveal that the proposed method can satisfactory estimate the unmeasured states in the presence of a wide range of uncertainties. Finally, the MMAE method is compared with a supervisory estimation algorithm to further clarify technical issues in the MPD system state estimation problem.

关键词： State estimation Adaptation models Uncertainty Inductors Mathematical model Adaptive estimation

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Markovian city-scale modelling and mitigation of micro-particles from tyres

arXiv

引用

arXiv 2021年

作者： Obereigner, Gunda Overko, Roman Yilmaz, Serife Crisostomi, Emanuele Shorten, Robert Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria School of Electrical and Electronic Engineering University College Dublin County Dublin Dublin Ireland Education Faculty Department of Mathematics Education Mehmet Akif Ersoy University Burdur Turkey Department of Energy Systems Territory and Constructions Engineering University of Pisa Pisa Italy Dyson School of Design Engineering Imperial College London South Kensington London United Kingdom

The recent uptake in popularity in vehicles with zero tailpipe emissions is a welcome development in the fight against traffic induced airborne pollutants. As vehicle fleets become electrified, and tailpipe emissions become less prevalent, non-tailpipe emissions (from tires and brake disks) will become the dominant source of traffic related emissions, and will in all likelihood become a major concern for human health. This trend is likely to be exacerbated by the heavier weight of electric vehicles, their increased power, and their increased torque capabilities, when compared with traditional vehicles. While the problem of emissions from tire wear is well-known, issues around the process of tire abrasion, its impact on the environment, and modelling and mitigation measures, remain relatively unexplored. Work on this topic has proceeded in several discrete directions including: on-vehicle collection methods;vehicle tire-wear abatement algorithms and controlling the ride characteristics of a vehicle, all with a view to abating tire emissions. Additional approaches include access control mechanisms to manage aggregate tire emissions in a geofenced area with other notable work focussing on understanding the particle size distribution of tire generated PM, the degree to which particles become airborne, and the health impacts of tire emissions. While such efforts are already underway, the problem of developing models to predict the aggregate picture of a network of vehicles at the scale of a city, has yet to be considered. Our objective in this paper is to present one such model, built using ideas from Markov chains. Applications of our modelling approach are given toward the end of this note, both to illustrate the utility of the proposed method, and to illustrate its application as part of a method to collect tire dust particles. © 2021, CC BY.

关键词： Tires

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