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International Conference on Microelectronics, MIEL

作者： Tomasz Talaśka Rafał Długosz Tatjana Nikolić Goran Nikolić Tomasz Stefanśki Michał Długosz Michał Talaśka Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland Aptiv Services Poland Kraków Poland Faculty of Electronic Engineering University of Niš Niš Serbia Faculty of Electronics Telecommunications and Informatics Gdanśk Univeristy of Technology Gdanśk Poland Faculty of Control Robotics and Electrical Engineering Poznan University of Technology Poznan Poland Complex of Electronics Schools Bydgoszcz Poland

The paper presents a programmable (using a 1-bit signal) digital gate that can operate in one of two OR or AND modes. A circuit of this type can also be implemented using conventional logic gates. However, in the case of the proposed circuit, compared to conventional solutions, the advantage is a much smaller number of transistors necessary for its implementation. Circuit is also much faster than its conventional counterpart. The logic gate was implemented in the 180nm CMOS technology and verified using Hspice simulations. There are many possible applications for this gate, mostly in artificial intelligence and pattern recognition algorithms implemented at the transistor level.

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control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm

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Computers, Materials & Continua 2021年第6期67卷 4081-4100页

作者： Nour Ben Ammar Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARLe BelvédèreTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

This work presents a memetic Shuffled Frog Leaping Algorithm(SFLA)based tuning approach of an Integral Sliding Mode controller(ISMC)for a quadrotor type of Unmanned Aerial Vehicles(UAV).Based on the Newton–Euler formalism,a nonlinear dynamic model of the studied quadrotor is firstly established for control design *** the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law,which are usually selected by repetitive and time-consuming trials-errors based procedures,a constrained optimization problem is formulated for the systematically tuning of these unknown *** time-domain operating constraints,such an optimization-based tuning problem is effectively solved using the proposed SFLA metaheuristic with an empirical comparison to other evolutionary computation-and swarm intelligence-based algorithms such as the Crow Search Algorithm(CSA),Fractional Particle Swarm Optimization Memetic Algorithm(FPSOMA),Ant Bee Colony(ABC)and Harmony Search Algorithm(HSA).Numerical experiments are carried out for various sets of algorithms’parameters to achieve optimal gains of the sliding mode controllers for the altitude and attitude dynamics *** studies revealed that the SFLA is a competitive and easily implemented algorithm with high performance in terms of robustness and non-premature *** results verified that the proposed metaheuristicsbased approach is a promising alternative for the systematic tuning of the effective design parameters in the integral sliding mode control framework.

关键词： Quadrotor modeling integral sliding mode control gains tuning advanced metaheuristics memetic algorithms shuffled frog leaping algorithm

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Optimal Scheduling of Preventive Maintenance for Safety Instrumented Systems Based on Mixed-Integer Programming 7th

Optimal Scheduling of Preventive Maintenance for Safety Inst...

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7th International Symposium on Model-Based Safety and Assessment, IMBSA 2020

作者： Abdelkarim, Anas Zhang, Ping Institute of Automatic Control Faculty of Electrical and Computer Engineering Technische Universität Kaiserslautern Kaiserslautern67663 Germany

ISBN: (纸本)9783030589196

Preventive maintenance is essential to guarantee the reliability of the safety instrumented systems in the process industry. The safety integrity level of the safety instrumented systems is evaluated based on the probability of failure on demand, which is significantly influenced by preventive maintenance. In this paper, we give an approach to optimize the schedule of the preventive maintenance for the safety instrumented systems, which considers not only the time instants but also the sequence of the maintenance schedule. The basic idea is to discretize the continuous-time Markov model from the viewpoint of maintenance and then reformulate the problem as a mixed-integer programming problem. Examples are given to illustrate the proposed approach. © 2020, Springer Nature Switzerland AG.

关键词： Preventive maintenance

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Pilot Study on Using Hybrid–Cascade Filtering on Brain Signals for the control Purposes

Pilot Study on Using Hybrid–Cascade Filtering on Brain Sign...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Mariusz Pelc Dariusz Mikołajewski Edward Jacek Gorzelańczyk Anna Wieczorek Henryk Racheniuk Adam Sudoł Kayhan Latifzadeh Luis A. Leiva Aleksandra Kawala-Sterniuk Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Institute of Computer Science Kazimierz Wielki University Bydgoszcz Poland Institute of Philosophy Kazimierz Wielki University Bydgoszcz Poland Faculty of Physical Education and Physiotherapy Opole University of Technology Opole Poland Faculty of Natural and Technical Sciences University of Opole Opole Poland Department of Computer Science University of Luxembourg Luxembourg Luxembourg

We present an initial study conducted on fNIRS signals using Hybrid-Cascade filters for the purpose of their quality improvement. Whilst many studies focus on filtering brain signals, so that their frequency domain properties would allow e.g. widely understood diagnostics, here we focus on the study of time-domain signal characteristics, which is relevant for potential control purposes. Taking into account various kinds of artifacts, we propose a novel cascade 1D Kalman filter to handle fNIRS signals.

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A Neural PID End-effector controller for Robotic Manipulator with Joint Position Constraints

A Neural PID End-effector Controller for Robotic Manipulator...

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International Conference on System Science and engineering (ICSSE)

作者： Nguyen Tran Minh Nguyet Dang Xuan Ba Faculty of Electrical and Electronics Engineering HCMC University of Technology and Education (HCMUTE) Ho Chi Minh City Viet Nam Department of Automatic Control HCMC University of Technology and Education (HCMUTE) Ho Chi Minh City Viet Nam

We present a novel efficient method to control the end- effector of robotic manipulators without solving the inverse kinematics problem in the presence of the hard bound on the joint space motion. The basic Proportional–Integral-Derivative (PID) controller is combined with a nonlinear law to track the position and control the joint move within physical limits. To provide the adaptive ability of such the controller, a neural control signal is integrated to compensate for the internal and external disturbances in the robot dynamic. Stability of the closed-loop system is guaranteed by Lyapunov constraints. The proposed controller is validated in intensive simulation results.

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Creating an Application in MATLAB to Visualize Changes in Statistical Parameters 25

Creating an Application in MATLAB to Visualize Changes in St...

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25th IEEE International Conference on Problems of Automated Electric Drive. Theory and Practice, PAEP 2020

作者： Guzan, Milan Feher, Adam Vince, Tibor Beres, Matej Kalinov, Andrii Technical University of Košice Faculty of Electrical Engineering and Informatics Department of Theoretical and Industrial Electrical Engineering Košice Slovakia Mykhailo Ostrohradskyi National University Systems of Automatic Control and Electric Drive Department Kremenchuk Ukraine

ISBN: (纸本)9781728199351

This paper points out the possibilities of using MATLAB in processing a large amount of measured data. An application created calculates and then graphically displays changes in individual statistical parameters of the measured mains voltage. Although the application works with voltage values, it can also be used for similar evaluation of changes in statistical parameters of other measured technical quantities, where the measured data are collected, which will be subsequently evaluated. © 2020 IEEE.

关键词： Data visualization

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A Swarm Model for Target Capturing in a Polygonal Strip

A Swarm Model for Target Capturing in a Polygonal Strip

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Antonio Bono Luigi D' Alfonso Giuseppe Fedele Veysel Gazi Department of Informatics Modeling Electronics and Systems Engineering University of Calabria Rende Italy Department of Control and Automation Engineering Faculty of Electrical and Electronics Engineering Yildiz Technical University Esenler Turkey

This paper presents a methodology to generate proper state trajectories of a swarm of agents, described as a single integrator model. The main goal of the proposed methodology is to route the agents into planar polygons like areas, so that to accomplish for cooperative perimeter surveillance or target capturing tasks. In particular, the agents are driven into a polygonal strip defined by a given containment external convex polygonal region and an internal forbidden convex polygonal region around a prescribed target. The control law is designed looking at a circular strip, then a conversion from circular to polygonal areas is applied to achieve the prescribed goal. Steady-state conditions are analyzed and sufficient conditions derived in terms of the control law parameters. Simulation results put in light the main properties of the resulting kinematic state description.

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Machine Learning-Based Cascade Filtering System for fNIRS Data Analysis

Machine Learning-Based Cascade Filtering System for fNIRS Da...

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Progress in Applied electrical engineering (PAEE)

作者： Mariusz Pelc Dariusz Mikołajewski Tuukka Ruotsalo Luis A. Leiva Adam Sudoł Edward Jacek Gorzelańczyk Adam Łysiak Aleksandra Kawala-Sterniuk Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Institute of Computer Science Kazimierz Wielki University Bydgoszcz Poland University of Helsinki Finland University of Copenhagen Denmark Department of Computer Science University of Luxembourg Luxembourg Luxembourg Faculty of Natural and Technical Sciences University of Opole Opole Poland Institute of Philosophy Kazimierz Wielki University Bydgoszcz Poland

This paper presents a preliminary study on the use of machine learning-based methods to select the appropriate parameters of cascade filters in the analysis of brain signals recorded using functional infrared spectroscopy (fNIRS), which shows the level of oxygenation in the brain and, unlike EEG signals (showing electrical brain activity), are less prone to potential interference, disturbances or artifacts occurrence.

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Magnetization Dynamics in Nanofiber Networks 11

Magnetization Dynamics in Nanofiber Networks

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11th IEEE International Conference "Nanomaterials: Applications and Properties", NAP 2021

作者： Blachowicz, Tomasz Steblinski, Pawel Grzybowski, Jacek Ehrmann, Andrea Institute of Physics Center for Science and Education Silesian University of Technology Gliwice Poland Faculty of Electronics and Informatics Koszalin University of Technology Koszalin Poland Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Faculty of Engineering and Mathematics Bielefeld University of Applied Sciences Bielefeld Germany

ISBN: (纸本)9781665439077

Magnetic nanofibers are of great interest for applications like data transport and storage as well as in basic research. Especially bent nanofibers, which can unambiguously be produced by electrospinning, show a broad spectrum of possible magnetization reversal processes, depending on bending radius, geometry, magnetic field orientation, etc. Besides these quasistatic processes, dynamic investigations are necessary for investigating data transport properties of magnetic nanofibers. We report on domain wall transport through coupled bent nanowires, forming networks with multiple data inputs and outputs. Our results show diverse phenomena which have to be taken into account during these dynamic processes, such as domain wall instabilities or interference between converging signals, and suggest possible architectures of nanowire-based logics. ©2021 IEEE

关键词： Nanofibers

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Process Optimization of Black Soldier Fly Egg Production via Model Based control

arXiv

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arXiv 2022年

作者： Kobelski, Alexander Hempel, Arne-Jens Padmanabha, Murali Wille, Luiz-Carlos Streif, Stefan Faculty of Electrical Engineering and Information Technology Automatic Control and System Dynamics Technische Universitaet Chemnitz Chemnitz09111 Germany The Department of Digital Engineering Staatliche Studienakademie Glauchau Glauchau08371 Germany

Black soldier fly (BSF) larvae (Hermetia illucens) are a valuable protein source for manufacturing animal feed. To maximize their production, both the quantity and quality of their reproductive cycle, i.e. egg production during oviposition, must be increased. In artificial environments, flies often sit idle in cages without mating, depleting their energy reserves and resulting in lower egg production per female. By controlling environmental conditions such as temperature and light inside breeding cages, the flies may be stimulated in a way that improves egg output. However, this stimulation increases the energy demand of the process and may stress the flies, resulting in reduced egg production. Therefore, control must be applied in a careful way, which requires knowledge of the egg production cycle. In this work, a mathematical model describing the various fly life stages and their transition to the egg production process is developed. Relevant factors are identified and their effect on the fly life and egg production is mathematically described. Parameters are identified using data from literature and goodness of fit is evaluated. Using the model, an optimal control problem is formulated with the goal of minimizing the energy costs and increasing the egg production quantity. In Simulation, our approach showed 13% higher output in shorter time at reduced energy costs compared to a (standard) constant setpoint approach. Optimal control could reach same amount of egg in 60 % of time compared to standard scenario. © 2022, CC BY-NC-ND.

关键词： Optimal control systems

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