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Adaptive Neural Network Sliding Mode Vibration control for Clamped Beam Systems with Input Saturation and Model Uncertainties 3

Adaptive Neural Network Sliding Mode Vibration Control for C...

引用

3rd conference on Fully Actuated System Theory and applications (FASTA)

作者： Li, Shilun Lin, Xiaohan Wang, Jun Qu, Chuankun Chen, Wei Shanghai Aerosp Syst Engn Inst Shanghai 201109 Peoples R China Shanghai ASES Spaceflight Technol Co Ltd Shanghai 201108 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

This paper presents a novel adaptive neural network nonsingular fast terminal sliding mode control method for flexible double-clamped beam systems with input saturation and distributed disturbance. Firstly, the ordinary differential equations of the beam system are provided. Secondly, a novel auxiliary function is employed to design a nonsingular fast terminal sliding mode controller, ensuring the stability of the closed-loop system under state constraints. Additionally, an adaptive neural network is proposed to handle possible unknown parts of the model parameters. It is demonstrated that the proposed control method can simultaneously address input saturation and distributed disturbance without requiring precise knowledge of the model. Finally, numerical simulation results illustrate the effectiveness of the proposed control approach.

关键词： vibration control nonsingular fast terminal sliding mode control adaptive neuro-network control

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Optimizing Network Lifetime in Wireless Sensor Networks Through Efficient Data Transmission

Optimizing Network Lifetime in Wireless Sensor Networks Thro...

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2025 ieee International conference on Computational, Communication and Information technology, ICCCIT 2025

作者： Basara, Berke Dag, Tamer Kadir Has University Computer Engineering Department Istanbul Turkey College of Engineering and Technology American University of the Middle East Egaila Kuwait

ISBN: (纸本)9798331512965

Wireless sensor networks (WSNs) are integral to modern applications ranging from environmental monitoring to military operations. Despite their utility, the limited energy capacity of sensor nodes remains a critical challenge, particularly during the most energy-intensive task of data transmission. This paper introduces a novel clustering-based communication protocol designed to optimize energy efficiency and extend the network lifetime. Unlike traditional protocols such as LEACH and SEP, the proposed algorithm minimizes redundant data transmission by employing a control mechanism that detects and skips identical data in successive rounds. This innovation reduces energy consumption during communication between non-cluster head nodes, cluster heads (CHs), and the base station (BS). Simulations conducted in static, semi-dynamic, and dynamic environments demonstrate significant improvements in network stability, energy efficiency, and overall lifespan. These results position the proposed protocol as a robust solution for energy-constrained WSNs. © 2025 ieee.

关键词： Sensor nodes

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Active Disturbance Rejection control of Hydraulic Turbine based on Fully Actuated System Theory 3

Active Disturbance Rejection Control of Hydraulic Turbine ba...

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3rd conference on Fully Actuated System Theory and applications (FASTA)

作者： Lv, Lingling Yang, Delong Su, Shen Huang, Quanzhen Li, Zhiheng Wu, Yu North China Univ Water Resources & Elect Power Sch Elect Engn Zhengzhou 450011 Peoples R China Guangzhou Univ Haisi Knowledge Ctr B3 408 Guangzhou Peoples R China Henan Univ Engn Sch Elect & Informat Engn Zhengzhou 451191 Peoples R China Henan Elect Power Trading Ctr Trading Dept Zhengzhou 450018 Peoples R China Tianjin Univ Sch Earth Syst Sci Inst Surface Earth Syst Sci Tianjin 300072 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

This paper investigates the problem of stabilization control of hydroelectric generating units. Firstly, the fully actuated system model of the linear hydraulic turbine is established by using the theory of fully actuated system. Then the control law is designed by using the direct parameterization method, which can configure the closed-loop poles of the hydraulic turbine system expectation or region and ensure the stable operation of the hydraulic turbine regulating system with a small control gain. Finally, a nonlinear active disturbance rejection control method is proposed for the internal and external disturbances in the control of the fully actuated system. The simulation results demonstrate the effectiveness of the proposed control method.

关键词： Fully Actuated System Approach Direct Parameterization Approach Active Disturbance Rejection control Turbine Regulation System

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Advanced overlay metrology for CIS bonding applications 73

Advanced overlay metrology for CIS bonding applications

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ieee 73rd Electronic Components and technology conference (ECTC)

作者： Dettoni, Florent Deloffre, Emilie Grauer, Yoav Eisenbach, Shlomo Penia, Motti Simkin, Arkady Elka, Dror Safrani, Avner Polli, Marco De Paola, Francesco STMicroelectronics Crolles France KLA Migdal Haemeq Israel KLA Concorrezzo Italy

ISBN: (纸本)9798350334982

On-product overlay (OPO) control is becoming more and more critical to successful 3D heterogeneous process integration which includes wafer-to-wafer (W2W) bonding. In this work, we will present novel overlay (OVL) methods and experimental metrology results on an advanced CMOS Image Sensor (CIS) W2W process. We will discuss metrology challenges such as thick wafer measurement, target design, precision, and accuracy. Different target designs will be presented and evaluated with the irArcher (R) 007 from KLA. We will demonstrate Total Measurement Uncertainty (TMU) of 1 nm on production wafers, with Tool-Induced Shift (TIS) values comparable to the current best-in-class metrology tool for single wafer OVL measurement and suitable throughput for High-Volume Manufacturing (HVM). We will highlight the importance of such precise OVL metrology tools to address the sub-50 nm OVL challenge in sub-micron pitch, wafer-to-wafer bonding applications. Inter-field and intra-field terms will be presented. Unexpected infra-field signatures will be discussed. Finally, the impact of bonding OVL on back-side lithography steps will be introduced opening interest for Advanced Process control (APC) loops.

关键词： metrology overlay (OVL) bonding On Product Overlay (OPO) 3D Heterogeneous Integration Wafer to Wafer (W2W) CMOS Image Sensor (CIS) More than Moore (MtM) Total Measurement Uncertainty (TMU) inter-field overlay intra-field overlay

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Design of Computation-in-Memory Using ReRAM and Voltage controlled Oscillator based Analog to Digital converter 1

Design of Computation-in-Memory Using ReRAM and Voltage Cont...

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1st ieee International conference on Smart Power control and Renewable Energy, ICSPCRE 2024

作者： Snehalatha, G. Vineetha, Podduturi Srm Institute of Science and Technology Dept. of Ece Chennai Kattankulathur India Cvr College of Engineering Dept. of Ece Hyderabad India Cvr College of Engineering Dept. of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350377002

The effectiveness of medical implants and portable wireless sensors is often compromised by the short battery life, which are essential applications in the field of biomedicine. The creation of integrated circuit architectures that are energy- effectual must so be given top priority. By concentrating on how battery life and subsequent heat indulgence are impacted by power use in the context of biomedical applications. The suggested study is to build in memory computation using ReRAM and a voltage-controlled oscillator-based ADC. An analog-to-digital converter (ADC) that uses less power was developed by utilizing the architecture of a voltage-controlled oscillator (VCO). The study offers a novel solution to these problems. The analog vital signs that are obtained must be converted into digital data by this ADC in order to be processed further as digital signals. The solution uses a current-starved approach and a five-stage VCO configuration to save a significant amount of power. The hardware architecture is made simpler by introducing the D-flip flop (D-FF) approach for the reset counter. Using a simple hardware structure, the suggested design makes it easier to convert analog input signals to digital output. It is implemented using 90 nm CMOS technology and 18nm Finfet. When compared to CMOS technology, FinFet technology has a lower power usage. © 2024 ieee.

关键词： FinFET

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Securing Health Monitoring in IOT with Blockchain-Based Proxy Re-Encryption

Securing Health Monitoring in IOT with Blockchain-Based Prox...

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2024 International conference on Artificial Intelligence and Quantum Computation-Based Sensor applications, ICAIQSA 2024

作者： George, Jerlin Chitra, R. Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798331517953

The devices with sensors that can monitor your temperature, heart rate, and other vital signs and link to the internet, known as the Internet of Things (IoT), have completely transformed the way we control health. Providing real time health data, these sensors improve diagnostics and treatment outcomes. Security and privacy matters when IoT comes into play in healthcare. Cyberattacks on centralized database systems are also a problem. To solve these challenges, the study uses blockchain technology coupled with proxy re-encryption to secure health data. ThingSpeak IoT cloud analyzes the collected data and turns them into blockchain transactions which are safely kept on the DriveHQ cloud. Transparency and data integrity are ensured by blockchain, and secure data sharing among authorized users is made possible by proxy re-encryption. This results in a health monitoring system that preserves the accuracy and confidentiality of data while reducing the safety risks of IoT driven healthcare applications. © 2024 ieee.

关键词： Electronic health record

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Proceedings of the 11th ieee International conference on Intelligent Data Acquisition and Advanced Computing Systems: technology and applications, IDAACS 2021

Proceedings of the 11th IEEE International Conference on Int...

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11th ieee International conference on Intelligent Data Acquisition and Advanced Computing Systems: technology and applications, IDAACS 2021

ISBN: (纸本)9781665426053

The proceedings contain 214 papers. The topics discussed include: customer intent prediction using sentiment analysis techniques;validation of the global human settlement layer and NASA population data for Ukraine;a comparison of Kubernetes and Kubernetes-compatible platforms;data mining to achieve quality of life for home automation users;special aspects of errors definition via sum codes within embedded control schemas being realized by means of Boolean complement method;exploiting VPN bonding for time critical video transmission on board drone;adaptive management of digitalization projects for efficiency increasing;NILM application for real time monitoring of appliances energy consumption used;and biometric identification via oculomotor system based on the Volterra model.

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Time Series Prediction Based on the Probability Diffusion Model 7

Time Series Prediction Based on the Probability Diffusion Mo...

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7th ieee Information technology, Networking, Electronic and Automation control conference, ITNEC 2024

作者： Zhu, Fuyu Wang, Hua College of Computer Science Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9798350370782

Time series forecasting plays a crucial role in practical applications such as extreme weather warning and long-term energy consumption planning. However, accurately predicting long-term trends in time series data is a challenging problem. In the past, models based on the Transformer architecture have been used to discover long-distance dependencies through various self-attention mechanisms, but the complexity of long-term time patterns has hindered the discovery of reliable dependencies. Moreover, Transformers must use a sparse version of self-attention on a per-point basis to improve efficiency with long sequences, which creates an information bottleneck. To address this challenge, we developed a model called ST:DDP that utilizes probability diffusion models and automatic correlation mechanisms to encode and decode time series data. The diffusion model, which is the most advanced generative model, and the structured state space model, as the internal model architecture, are particularly suitable for capturing long-term dependencies in time series data. Compared to self-attention models, the ST:DDP model has advantages in both efficiency and accuracy. In terms of long-term prediction, we tested the ST:DDP model on open-source data and achieved state-of-the-art accuracy. Our approach builds on the theory of random processes to provide a new, more effective method for long-term time series forecasting, with implications for a range of practical applications. © 2024 ieee.

关键词： Prediction models

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control over Low-Power Wide-Area Networks 15

Control over Low-Power Wide-Area Networks

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15th ACM/ieee International conference on Cyber-Physical Systems (ICCPS)

作者： Jain, Aakriti Modekurthy, Prashant Saifullah, Abusayeed Wayne State Univ Detroit MI 48202 USA Univ Nevada Las Vegas Las Vegas NV USA

ISBN: (纸本)9798350369274;9798350369281

There has been a growing interest to adopt low-power wide-area network technology, specially LoRa, for industrial control applications. Its machine-to-machine communication capabilities can enable management of large-area applications (e.g., oil fields over hundreds of km(2)) or process plants that are often positioned far from the central operations center, at inconvenient or hazardous locations in difficult terrain or offshore. While recent works have studied real-time communication over LoRa, they have not considered optimizing control performance. To optimize control performance, industrial automation needs a co-design of real-time scheduling and control. Such a co-design, in general, is highly challenging due to complex dependencies between control performance, plant dynamics, and real-time communication. Existing co-design approaches for other wireless domains are not applicable to LoRa network. LoRa nodes are extremely power-constrained hindering frequent communication and scale. In this paper, we propose a highly energy-efficient and scalable framework for real-time scheduling and control co-design for a LoRa network. By taking into account LoRa characteristics, the co-design approach entails state-aware communication and control to dynamically update the sampling rates while meeting real-time constraints. To minimize communication and synchronization overhead, the co-design is decomposed through a partitioned scheduling. We consider co-design in each partition of the control loops by developing a new schedulability condition. The proposed scheduling-control co-design solution dynamically determines the sampling rates of the sensors to optimize control performance. Simulations based on NS-3 and a custom control script show that our co-design approach minimizes control cost at least by 80% as compared to the baselines.

关键词： CPS IIoT LoRa LPWAN Model Predictive control Networked control system Real-Time Communication Scheduling Stability

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The Brain-Inspired Cooperative Shared control Framework for Brain-Machine Interface 6

The Brain-Inspired Cooperative Shared Control Framework for ...

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6th International conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2024

作者： Yang, Junjie Liu, Ling Zheng, Shengjie Qian, Lang Gao, Gang Chen, Xin Li, Xiaojian Shenzhen Institute of Advanced Technology CAS University of Chinese Academy of Sciences Shenzhen China Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China

ISBN: (纸本)9798331541699

In brain-machine interface (BMI) applications, a key challenge is the low information content and high noise level in neural signals, severely affecting stable robotic control. To address this challenge, we proposes a cooperative shared control framework based on brain-inspired intelligence, where control signals are decoded from neural activity, and the robot handles the fine control. This allows for a combination of flexible and adaptive interaction control between the robot and the brain, making intricate human-robot collaboration feasible. The proposed framework utilizes spiking neural networks (SNNs) for controlling robotic arm and wheel, including speed and steering. While full integration of the system remains a future goal, individual modules for robotic arm control, object tracking, and map generation have been successfully implemented. The framework is expected to significantly enhance the performance of BMI. In practical settings, the BMI with cooperative shared control, utilizing a brain-inspired algorithm, will greatly enhance the potential for clinical applications. © 2024 ieee.

关键词： Robotic arms

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