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2025 ieee international Students' conference on Electrical, Electronics and Computer science, SCEECS 2025

作者： Hari Haran, B. Swetha, A. Chitra, R. Vishwa, M. Sri Sairam Engineering College Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331529833

Monitoring chlorophyll content is essential for assessing plant health and detecting early stress, yet traditional methods are often labor-intensive and prone to inaccuracies. An automated system utilizing the NDRE index offers a solution, employing NIR and RE spectral bands to calculate chlorophyll levels accurately across large datasets. Advanced image segmentation and machine learning techniques enhance precision, making the NDRE index a reliable indicator values below 0.5 point to potential deficiencies, while values above 0.5 signify healthier chlorophyll levels. automation minimizes human error and accelerates evaluation, enabling early stress detection and proactive crop management. This efficient, data-driven approach supports sustainable agricultural practices and improves productivity, proving invaluable in modern crop monitoring and decision-making. © 2025 ieee.

关键词： Image segmentation

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Dynamic Event-triggered Adaptive Asymptotic Tracking Control of Uncertain Systems with Unified Prescribed Performance

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ieee Transactions on automation science and engineering 2025年 22卷 14752-14762页

作者： Zhao, Kai Huang, Yuhang Zhou, Yongcheng International Joint Laboratory on Safety and Control of Autonomous Unmanned Systems of Ministry of Education China Chongqing University School of Automation Chongqing400044 China

This paper presents a dynamic event-triggered unified performance adaptive control method for nonparametric strict-feedback nonlinear systems. In contrast to most existing static/dynamic event-driven controllers that only guarantee uniformly ultimately bounded tracking results, here by introducing an external auxiliary variable into the dynamic threshold strategy and using the robust technique with the integral function, not only the communication overhead is reduced and the Zeno phenomenon is precluded, but also the asymptotic zero-error tracking is achieved. The control design and stability analysis become quite complicated and challenging when the performance constraint is taken into account. By constructing a series of functional transformations in conjunction with the core information technique to handle the nonparametric uncertainty, the proposed controller is able to guarantee multiple prescribed performance characteristics by appropriately adjusting the key design parameter, eliminating the need to redesign the controller and reanalyze the stability. Finally, simulation results are conducted to demonstrate the effectiveness of the theoretical discussion. © 2025 ieee.

关键词： Self adjusting control systems

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Conditional Disturbance Compensation-Based Fault-Tolerant Group Consensus Control for MASs: An Event-Based Switching Method

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ieee Transactions on automation science and engineering 2025年 22卷 13828-13841页

作者： Liu, Pei-Ming Guo, Xiang-Gui Wang, Jian-Liang Che, Wei-Wei Wu, Zheng-Guang University of Science and Technology Beijing Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering Beijing100083 China University of Science and Technology Beijing Shunde Innovation School Foshan528000 China Beihang University Hangzhou Innovation Institute Autonomous Intelligent Systems Department Hangzhou310051 China Northeastern University College of Information Science and Engineering Shenyang266071 China Zhejiang University State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Hangzhou310027 China

With respect to the group consensus control for multi-agent systems (MASs) with disturbances and actuator nonidentical and unknown direction faults (NUDFs), this paper proposes a novel fault-tolerant control scheme by incorporating an event-based switching function and a saturation function. The event-based switching function is implemented to directly switch to the desired working mode, thereby reducing invalid switching after a reverse fault. Concurrently, the saturation function, acting at the software level, can not only prevent the instantaneous impact of excessive reverse input caused by a reverse fault, but also eliminate input peaking and state chattering after switching the working mode. It is worth mentioning that the proposed switching-based fault-tolerant control method can avoid the control chocks and excessive control gains as in the existing methods by using Nussbaum functions and thus improve the transient performance. Additionally, for disturbances, the designed conditional disturbance compensation mechanism ensures a smaller steady-state error, and less energy consumption by utilizing beneficial disturbances and compensating for harmful ones. Besides, the conditional compensation mechanism also reduces the saturation error. Finally, the effectiveness of the proposed control scheme are verified through a simulation example of uncrewed aerial vehicles (UAVs). © 2004-2012 ieee.

关键词： Unmanned aerial vehicles (UAV)

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An Efficient Real-Time Railway Container Yard Management Method Based on Partial Decoupling

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ieee Transactions on automation science and engineering 2025年 22卷 14183-14200页

作者： Luan, Yao Jia, Qing-Shan Xing, Yi Li, Zhiyu Wang, Tengfei Department of Automation BNRist Beijing100084 China Research and Design Institute Group Company Ltd. Beijing100070 China

Sea-rail intermodal transportation is an essential infrastructure in global supply chains nowadays. Since the yard is the interface between sea and land, optimizing the transportation process in yards is of significant interest for increasing transportation efficiency. However, the yard management problem usually suffers from the large state space and cannot be solved effectively. We consider this important problem from a decomposition perspective, focusing on real-time scheduling in railway container yards, and make the following contributions. We show the partial decomposition property of the yard management problem. This property establishes the equivalence between joint optimization of yard components and independent optimization of each component under mild assumptions, achieving optimality and effectiveness simultaneously. Utilizing this property, we further simplify each subproblem while preserving the optima, and develop algorithms for each simplified subproblem. Numerical experiments demonstrate the performance of proposed algorithms and the contribution of optimizing each subproblem from various perspectives. © 2004-2012 ieee.

关键词： Intermodal transportation

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Development of robotic arm for fruits and vegetables sorting

Development of robotic arm for fruits and vegetables sorting

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2025 ieee international Students' conference on Electrical, Electronics and Computer science, SCEECS 2025

作者： Likithkumar, C. Thrisha, K. Anbarasi, S. Navarasu, S. Srm Institute of Science and Technology Electronics and Instrumentation Engineering Faculty Chennai India Srm Institute of Science and Technology Electronics and Instrumentation Engineering Student Chennai India

ISBN: (纸本)9798331529833

Among various automation approaches, the pick and-place robotic arm stands out due to its versatility and potential for wide application in sorting, picking, and placing tasks. The robotic arm is equipped with advanced computer vision capabilities for automated agricultural tasks. The system incorporates object detection algorithms using THONY software to accurately identify and localize fruits or vegetables within the arm's workspace. The integration of object detection and classification enhances the system's versatility and adaptability, making it suitable for agricultural applications which includes sorting. By automating repetitive tasks and utilizing real-time object detection, the robotic arm enhances operational efficiency, reduces labor requirements, and improves precision in handling and sorting. © 2025 ieee.

关键词： Fruits

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Brake Smart: Harnessing IoT and Ultrasonic Technology for Collision-Free Driving

Brake Smart: Harnessing IoT and Ultrasonic Technology for Co...

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2025 ieee international Students' conference on Electrical, Electronics and Computer science, SCEECS 2025

作者： Lakshmi Koustubha, Dhavala Naga Shri, Bhavani S. Upender, Patri Vellore Institute of Technology Chennai School of Electronics Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331529833

This project aims to develop an advanced Automatic Braking System (ABS), called 'BrakeSmart', which leverages ultrasonic sensor technology to enhance road safety and prevent collisions. The system automatically applies the brakes to maintain a safe distance from the vehicle ahead. By continuously monitoring the distance using ultrasonic sensors, BrakeSmart engages the brakes when the distance falls below a predetermined threshold. This automation mitigates the limitations of human reaction time, significantly reducing the risk of collisions and promoting safer driving. Overall, this innovative technology marks a significant advancement in driver assistance systems, focusing on accident prevention and minimizing human error. © 2025 ieee.

关键词： Human reaction time

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Research on Mechanical automation Control based on Bidirectional Long Short-Term Memory 1

Research on Mechanical Automation Control based on Bidirecti...

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1st international conference on Intelligent Systems and Computational Networks, ICISCN 2025

作者： Song, Xiaolu Zaozhuang Vocational College of Science & Technology College of Mechanical and Electrical Engineering China

ISBN: (纸本)9798331529246

The rapid advancement of industrial automation has led to increased reliance on intelligent control systems for optimizing mechanical processes. Traditional automation methods often struggle with dynamic environmental conditions, system uncertainties, and real-time decision-making challenges. Many existing approaches, such as PID controllers and conventional neural networks, fail to effectively handle sequential dependencies in time-series data, resulting in suboptimal system performance. To address these limitations, this research presents an advanced mechanical automation control framework based on a Bidirectional Long Short-Term Memory (BiLSTM) algorithm. The BiLSTM model enhances automation efficiency by capturing long-range dependencies in sequential data, improving predictive accuracy and system adaptability. By leveraging bidirectional processing, the model effectively learns past and future context, leading to superior performance in control precision and response time. Experimental evaluations demonstrate that the proposed framework achieves an accuracy of 98.2%, significantly outperforming conventional automation control techniques in terms of robustness, adaptability, and computational efficiency. This study contributes to the development of intelligent, data-driven mechanical automation systems that align with Industry 4.0 objectives and enhance operational reliability. © 2025 ieee.

关键词： Three term control systems

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A Generalizable Telerobotic Solution for Undisrupted Man-Robot Workflow Coupling Via Shape-Variable Virtual Fixture

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ieee Access 2025年 13卷 75294-75304页

作者： Shi, Yunze Wang, Tengyue Lei, Chen Yang, Liangjing Zhejiang University School of Mechanical Engineering Zhejiang China Zhejiang University International Campus Zhejiang China University of Illinois Mechanical Science and Engineering Department Urbana-Champaign United States

This paper introduces a generalizable telerobotic solution for the coupling between manual and machine workflow tracks to facilitate the incorporation of personnel-required procedures in lab automation processes. The proposed shape-variable virtual fixture can be generalized for providing synchronized dexterous guidance during human interaction with a robotized automation process without disrupting the automated workflow. Accuracy performance evaluation showed that the use of our proposed shape-variable virtual fixture reduced positioning and orientation errors by 50%. Stability and transparency are validated by evaluation of the force profiles during the teleoperation process while interacting with the environment. User experience test based on the NASA-TLX evaluation also indicates reduced workload and task complexity experienced by the subjects of informed consent, suggesting better usability with our proposed method. This study demonstrates the feasibility and usability of the proposed telerobotic approach using shape-variable virtual fixtures for generalized man-robot collaborated workflows. It is envisioned that the work would pave a path for the realization of safer and more intuitive human-robot collaboration while maintaining the efficiency of the ever-increasing task complexity in modern smart laboratories. © 2013 ieee.

关键词： Human robot interaction

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A Power-voltage coordinated control strategy of inverters in low-voltage distribution networks

A Power-voltage coordinated control strategy of inverters in...

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2024 international conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Wei, Yinzhong Mei, Jianchun Zhou, Yalong Su, Jiabin Yan, Anxin Zhou, Zhen China Energy Engineering Group Jiangsu Power Design Institute Co. Ltd. Nanjing211102 China Jiangsu Keneng Electric Power Engineering Consulting Co. Ltd. Nanjing210000 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Considering the problem concerning voltage beyond limit caused by the photovoltaic generators in low-voltage distribution network system, a power-voltage coordinated manage method about inverters is offered to deal with voltage beyond limit by photovoltaic generators. This method can give priority to voltage adjustment through reactive power belonging to the PV, if the reactive regulation ability from the PV reaches its limit while the voltage continues to exceed the limit, an active power reduction control based on sparrow search algorithm is further adopted to minimize the waste of photovoltaic active power and avoid voltage beyond limit. The simulation outcomes confirm the potency as well as advantages belonging to the offered method in dealing with the beyond-limits about voltage created by the PV. © 2025 SPIE.

关键词： Photovoltaics Control systems Lithium Solar energy Resistance automation Mathematical optimization Algorithm development Design Safety

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Gesture and Voice-Based automation System for Home Surveillance 1

Gesture and Voice-Based Automation System for Home Surveilla...

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1st international conference on Advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Santhosh, B. Oli, Sanjay Jayanth, C. Suresh Kumar, M. Raj, Preetham N Kandpal, Ankit Dayananda Sagar College of Engineering Department of Electronics and Telecommunication Engineering Bangalore560078 India Dayananda Sagar College of Engineering Department of Mathematics Bangalore560078 India Dayananda Sagar College of Engineering Department of Information Science and Engineering Bangalore560078 India Bipin Tripathi Kumaon Institute of Technology Dwarahat Department of ECE Almora India

ISBN: (纸本)9798331518578

Gesture and voice-based automation innovations are being examined because of the developing interest for reliable and smart home security frameworks. In this study, a MATLAB-based home reconnaissance automation framework in light of voice and motion is created and reproduced. To perceive, interpret, and answer user developments and vocal orders, the proposed framework utilizes modern sign handling and AI calculations. Although nonverbal communication through gestures has been around for a while, gesture-based human-computer interaction (HCI) is growing in popularity in the present day. The conventional interface uses a number of tools, including markers, physical controllers, and gloves, to increase the recognition rate. This work offers a novel marker less method for capturing gestures without the use of expensive gear or any obstacles. In order to enable disabled individuals to operate household appliances using their own speech and gesture commands, we present in this paper a speech and Gesture Driven automation system for homes with a central controller. The framework joins programmed reactions with continuous observation highlights to further develop security, openness, and user solace. Framework reenactment, including control rationale, voice order handling, and motion identification, is finished with MATLAB. The accuracy, reactivity, and common sense of the innovation are shown by the recreation results. © 2025 ieee.

关键词： MATLAB

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