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2025 SICE International Symposium on control systems, SICE ISCS 2025

作者： Magzhan, Atykhan Hossain, Md Delowar Bakibillah, A.S.M. Kamal, Md Abdus Samad Yamada, Kou Graduate School of Science and Technology Gunma University Kiryu Japan Institute of Science Tokyo Department of Systems and Control Engineering Tokyo Japan

ISBN: (纸本)9784907764852

This paper presents a look-ahead vehicle control scheme for efficient traffic management at signalized intersections. The proposed scheme predicts future driving states with a look-ahead approach as an extended adaptive cruise control (ACC) model. It maintains car-following behavior similar to human driving while predicting future states of traffic flow to minimize intersection clearing time and aggressive braking independently, similar to model predictive control (MPC) approaches. In contrast to MPC models that are computationally demanding and have limited practical applications due to real-time constraints, the proposed scheme uses a modified Intelligent Driver Model (IDM) with predictive adjustments. The efficiency of the control scheme is evaluated through simulations with multiple vehicles in intersection traffic scenarios, focusing on maintaining safe time headway within a traffic flow and ensuring efficient flows with higher intersection throughput. Comparative results indicate improvements in intersection clearance, human-like vehicle headway management, and enhanced traffic flow performance. © 2025 The Society of Instrument and control Engineers.

关键词： Adaptive cruise control

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Design an optimal FOPD controller for electric vehicle speed tracking control 7

Design an optimal FOPD controller for electric vehicle speed...

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7th International Conference on Vocational Education and Electrical engineering, ICVEE 2024

作者： Abood, Layla Hattim Abood, May H. Action, Dalal Hammood University of Technology Department of Control and Systems Engineering Baghdad Iraq Al-Iraqia University Department of Computer Engineering Baghdad Iraq Mtu Edu Department of Computer Engineering Baghdad Iraq

ISBN: (纸本)9798331505103

Electric Vehicles (EVs) become very important issue and gained attention due to many reasons like its economic price, saving environment and more reliable. In this study, controlling speed for EV is utilized by tracking the desired speed using Fractional Order Proportional Derivative (FOPD) controller with a smart tuning algorithm named Sunflower Optimization (SFO) algorithm to satisfy robust and efficient controlled speed. The numerical analysis is obtained using Matlab program in two steps, controlling the system to reach the desired value in best and stable response then apply two undesired signals (disturbance signals) to test system robustness and finally compare the suggested controller with different conventional controllers(Normal PD controller-Optimal PD controller). © 2024 IEEE.

关键词： MATLAB

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Dualband 5G Antenna for Wireless Power Transmission

Dualband 5G Antenna for Wireless Power Transmission

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2023 Seminar on Fields, Waves, Photonics and Electro-Optics: Theory and Practical Applications, FWPE 2023

作者： Ignatovich, Vladislav O. Galtsov, Yaroslav O. Institute of Radio Engineering Systems and Control Department of Antennas and Radio Transmitting Devices Taganrog Russia

ISBN: (纸本)9798350370447

In this paper, the results of a simulation of a dualband 5G antenna for wireless power transmission using Altair FEKO software are presented. Frequency bands were selected as 4.4-5.0 n 5.15-5.925 GHz, these bands are declared by standard 5G Sub-6 GHz (bands n79 and n46). The construction of the antenna was developed as complex-shaped patch antenna. Research of the main characteristics was made, and also the parameterization task was solved for this antenna by the criterion of minimizing the SWR. Patch has got SWR 1.058 and 1.273 at bands we're studying. At the end, the prototyping of this model was carried out. Experimental studies of the frequency dependence of the SWR of the antenna found out that the results of nature measurement don't confront the results of computer simulation. © 2023 IEEE.

关键词： Microstrip antennas

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Comparative analysis of permissioned blockchain frameworks for industrial applications

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Blockchain(Research and Applications) 2023年第1期4卷 58-70页

作者： Vittorio Capocasale Danilo Gotta Guido Perboli Department of Control and Computer Engineering Politecnico di Torino10129 TurinItaly Service Innovation TIMTurinItaly Department of Management and Production Engineering Politecnico di Torino10129 TurinItaly

Blockchain is a technology that creates trust among non-trusting parties without relying on any ***,it has attracted the interest of companies operating in a multitude of ***,due to the number of different blockchain solutions that have emerged in the last few years and their rapid changes,it is challenging for such companies to orient their technological *** paper presents a comparative analysis of the key dimensions—namely,governance,maturity,support,latency,privacy,interoperability,flexibility,efficiency,resiliency,and scalability—of some of the most-used permissioned blockchain ***,we present the results of a performance evaluation considering the following frameworks:Hyperledger Fabric 2.2,Hyperledger Sawtooth 1.2,and ConsenSys Quorum 21.1(with both the GoQuorum client and the Hyperledger Besu client).The platforms were tested under similar conditions,and official releases were used,such that our findings provide a reference for companies establishing their technological orientation.

关键词： Blockchain performance evaluation Hyperledger Besu Hyperledger Fabric Hyperledger Sawtooth Quorum

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DeepLeaf: an optimized deep learning approach for automated recognition of grapevine leaf diseases

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Neural Computing and Applications 2025年第15期37卷 8799-8823页

作者： Talaat, Fatma M. Shams, Mahmoud Y. Gamel, Samah A. ZainEldin, Hanaa Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh33516 Egypt Faculty of Computer Science and Engineering New Mansoura University Gamasa35712 Egypt Faculty of Engineering Horus University Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura Egypt

Plant diseases can cause severe losses in agricultural production, impacting food security and safety. Early detection of plant diseases is crucial to minimize crop damage and ensure agricultural sustainability. Manual monitoring is often impractical due to the complexity and time involved, making automated disease recognition essential. This study presents a new Plant Disease Detection Algorithm (PDDA) called DeepLeaf focused on identifying four common grapevine diseases: leaf blight, black rot, stable, and black measles. The PDDA integrates three key modules: an Image Preprocessing Module, a Feature Extraction Module, and an Optimized Convolutional Neural Network (OCNN)-based Classification Module. The OCNN forms the core of the classification system, with its hyperparameters fine-tuned using fuzzy optimization to enhance performance. Preprocessing techniques are applied to analyze diseased leaves, and a logistic regression algorithm is used to downsample the features for better analysis. The CNN is trained on images from the Plant Village dataset, allowing it to detect and classify grapevine leaf diseases accurately. The proposed model's efficiency in the automated diagnosis of grapevine diseases is demonstrated by its remarkable 99.7% accuracy rate. This high accuracy indicates that the PDDA may help with more effective and scalable plant disease monitoring, which will ultimately allow better agricultural practices. © The Author(s) 2025.

关键词： CNN Detection of leaf disease Extracting features Plant disease

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Study of Discrete Analog Filters with Pole Frequency Adjustment Using General Feedback Resistors 26

Study of Discrete Analog Filters with Pole Frequency Adjustm...

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26th International Conference on Digital Signal Processing and its Applications, DSPA 2024

作者： Denisenko, Darya Prokopenko, Nikolay Butyrlagin, Nikolay Ivanov, Yuri Don State Technical University Southern Federal University Department of Scientific Research Department of Automatic Control Systems Rostov-on-Don Russia Don State Technical University Department of Information Systems and Radio Engineering Rostov-on-Don Russia Southern Federal University Department of Automatic Control Systems Rostov-on-Don Russia

ISBN: (纸本)9798350361728

Three new modifications of second-order low-frequency discrete analog filters (DAFs) based on switched capacitors have been developed and studied. A distinctive feature of the DAFs under consideration is the presence of two resistors in the general feedback circuit. This allows, at constant values of the capacitances of the frequency-setting capacitors and a fixed switching frequency of electronic switches, to control the frequency of the DAF pole by changing the resistance ratio of these resistors. The basic equations for the low-pass filter gain at zero frequency, the low-pass filter gain at the pole frequency, as well as formulas for calculating the pole frequency and pole attenuation are given. In the Micro-Cap environment, computer simulation of the proposed modifications of the DAF was performed, which shows that the considered circuit solutions perform the functions of a low-pass filter. © 2024 IEEE.

关键词： Operational amplifiers

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Versatile control of an Automotive Assembly Line by using Programmable Logic controllers 17

Versatile Control of an Automotive Assembly Line by using Pr...

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17th International Conference on engineering of Modern Electric systems, EMES 2023

作者： Vasile-Alexandru, Dulgheriu Eugen, Gergely Laura, Coroiu Linawati, Linawati Sogefi Suspensions Eastern Europe Srl Oradea Romania University of Oradea Department of Control Systems Engineering and Management Oradea Romania Udayana University Department of Electrical Engineering Jimbaran Indonesia

ISBN: (纸本)9798350310634

This paper presents the design process of a control system for an automotive assembly line. An assembly line is composed of several zones, which in turn contain several stations. All the control functions are assured by a programmable logic controller. The versatile feature is given by the fact that the assembly line can build two types of vehicles without downtime. The PLC program can switch on the fly to the logic corresponding to the type of vehicle detected. Great importance was given to safety. Additional hardware and software redundancies were used. The human-machine interface has been designed to provide operators with quick accommodation, efficient use and quick and easy navigation through the multiple levels of screens to the desired level of detail. The techniques used in this work increase the productivity and flexibility of the assembly line. Also, measures taken regarding the safety increase confidence in the system and reduce personnel injury or financial loss due to malfunctions or mishandling. © 2023 IEEE.

关键词： Programmable logic controllers

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Multiple attribute group decision-making based on generalized aggregation operators under linguistic interval-valued Pythagorean fuzzy environment

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GRANULAR COMPUTING 2022年第3期7卷 591-632页

作者： Verma, Rajkumar Agarwal, Nikunj Department of Management Control and Information Systems University of Chile Santiago Chile Department of Mathematics JSS Academy of Technical Education Noida India

The linguistic variables provide a powerful and efficient tool for describing qualitative information in many complex real-life decision situations. The notion of the linguistic interval-valued Pythagorean fuzzy sets (LIVPFSs) has been introduced to more flexibly deal with the decision-information under a qualitative environment. It generalizes the existing theories, such as linguistic Pythagorean fuzzy sets (LPFSs) and linguistic interval-valval intuitionistic fuzzy sets (LIVIFSs). The paper's main objective is to present a detailed study of operational laws and aggregation operators (AOs) for linguistic interval-valued Pythagorean fuzzy numbers (LIVPFNs). This work uses Archimedean t-norm (ATN) and Archimedean t-conorm (ACN) to define new and generalized operational laws between LIVPFNs. The paper also proves many properties and special cases of them. Next, we define some new AOs for aggregating different LIVPFNs, such as the generalized Archimedean linguistic interval-valued Pythagorean fuzzy weighted average (GALIVPFWA) operator, the generalized Archimedean linguistic interval-valued Pythagorean fuzzy ordered weighted average (GALIVPFOWA) operator, and the generalized Archimedean linguistic interval-valued Pythagorean fuzzy ordered weighted average weighted average (GALIVPFOWAOWA) operator. The properties and special cases of developed AOs are discussed in detail. We use the linguistic scale function (LSF) to accommodate the decision-makers' different translation requirements during the aggregation process. It is worth noting that the developed AOs have a parameter in their formulations to consider the attitudinal character of the decision-makers. The work designs a new and flexible decision-making approach utilizing the proposed AOs to solve multiple attribute group decision-making (MAGDM) problems with LIVPF information. A real-life problem of robot selection is given to illustrate the effectiveness of the developed approach in complex real-life situations. Fi

关键词： Linguistic variable Linguistic interval-valued Pythagorean fuzzy numbers Aggregation operators Archimedean t-norm and t-conorm Decision-making

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Structure for Implementing a priori Model Knowledge in Markov Parameter Based System Identification Algorithm

Structure for Implementing a priori Model Knowledge in Marko...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Leshikar, Christopher Valasek, John Vehicle Systems and Control Laboratory Aerospace Engineering Department Texas A and M University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

This paper presents an approach for incorporating a priori knowledge into Markov Parameter based system identification approaches such as the Eigensystem Realization Algorithm. The assumption of full state feedback measurements in the derivation of the weighting sequence description for the Eigensystem Realization Algorithm yields an alternative definition of the system Markov Parameters. This new Markov Parameter definition permits the use of an Equation Error approach which allows the user to implement a priori knowledge and generate confidence bounds on the individual elements in the state and control influence matrices. This approach is then extended to the Observer/Kalman Filter Identification algorithm input/output description which allows for estimation of the matrix elements using both system Markov Parameters and observer gain Markov Parameters. A first order truncation of the series expansion of the discrete-time state and control matrices is introduced to allow for the computation of parameters in the continuous state-space matrices rather than performing a discrete to continuous-time computation. The developed approach is demonstrated on flight data of a small Unmanned Air System, and is shown to identify a model of similar quality to a model generated by the Observer/Kalman Filter Identification algorithm in terms of the averaged Theil Inequality Coefficient. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Continuous time systems

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Hierarchical Learned Auctions for Communication-Sparse Satellite Environments

Hierarchical Learned Auctions for Communication-Sparse Satel...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Lehman, Hannah Valasek, John Vehicle Systems & Control Laboratory Aerospace Engineering Department Texas AM University College StationTX77843-3141 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Multiagent coordination research tends to focus on strategies such as Multiagent Reinforcement Learning which makes extensive use of inter-agent communication. This works well in abstracted simulations, but may be challenging or non-feasible to implement in real-world environments because many problems of interest can have sparse, intermittent, or contested communication frameworks. This paper extends the Hierarchical Auctions for the Coordination of Heterogeneous Agents (HACHA) approach to investigate hierarchical auctions and machine learning to facilitate teaming between agents in a system where some agents enter and leave the communication graph at regular intervals, akin to a satellite. Results presented in the paper show that the method is able to identify, distribute, and monitor tasks despite communication challenges. This paper shows that allowing multiple children to propagate auctions results in lower average search times and higher success rates. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Satellite communication systems

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