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Adaptive Uniform Performance Control of Strict-Feedback Nonlinear Systems With Time-Varying Control Gain

IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 451-461页

作者： Kai Zhao Changyun Wen Yongduan Song Frank L.Lewis IEEE the Department of Electrical and Computer Engineering National University of SingaporeSingapore 119077Singapore the School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore the State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing Key Laboratory of Intelligent Unmanned SystemsSchool of AutomationChongqing UniversityChongqing 400044China the UTA Research Institute University of Texas at ArlingtonFort WorthTX 76118 USA

In this paper,we present a novel adaptive performance control approach for strict-feedback nonparametric systems with unknown time-varying control coefficients,which mainly includes the following ***,by introducing several key transformation functions and selecting the initial value of the time-varying scaling function,the symmetric prescribed performance with global and semi-global properties can be handled uniformly,without the need for control ***,to handle the problem of unknown time-varying control coefficient with an unknown sign,we propose an enhanced Nussbaum function(ENF)bearing some unique properties and characteristics,with which the complex stability analysis based on specific Nussbaum functions as commonly used is no longer ***,by utilizing the core-function information technique,the nonparametric uncertainties in the system are gracefully handled so that no approximator is ***,simulation results verify the effectiveness and benefits of the approach.

关键词： Adaptive control enhanced Nussbaum function(ENF) strict-feedback systems unified prescribed performance

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Design Analysis of Dynamic Comparator 4

Design Analysis of Dynamic Comparator

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2022 4th International Conference on Electronic engineering and Informatics, EEI 2022

作者： Huang, Zhipeng Li, Xinhui Wang, Miaorui Yang, Jiawei School of Computer Science and Technology Nanjing Tech University China School of Engineering Liverpool John Moores University United Kingdom School of Electrical and Automation Engineering Nanjing Normal University China Department of Electrical and Computer Engineering Dalhousie University Canada

ISBN: (纸本)9783800759231

This paper covers four comparators with new-designed structures, each of them having superior performance than the classic comparators. A novel comparator design with parallel signal pathways to the output node boosts the comparator's transconductance and reduces voltage offset and overall latency in comparison to the conventional circuit. Similarly, A distinctive latching-stage design based on a gate-biasing cross-coupled material further optimizes the delay and power consumption of the comparator by increasing the overall transconductance of transistors. Meanwhile, a unique Triple-Tail (TT) fully dynamic comparator applies two preamplifiers in series with the latching stage, minimizes the total resolving time of the comparator and further raises the sampling rate without increasing input-referred noise and energy usage. Lastly, Edge-Pursuit Comparator (EPC) combines a non-coincident gate and an inverting delay unit, which leads two input signals chase each other in a ring oscillator to give a comparison result. The circuit construction provides flexible input noise, automatic energy scaling, and low voltage tolerance. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Comparators (optical)

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Design of Denial-of-Service Attack Strategy With Energy Constraint: An Approximate Dynamic Programming Approach

Design of Denial-of-Service Attack Strategy With Energy Cons...

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IEEE Conference on Decision and Control

作者： Kaiyun Xie Zhan Shu Junlin Xiong Department of Automation University of Science and Technology of China HeFei China Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

This paper aims to design a denial-of-service attack strategy that maximizes the LQG cost over a finite time. During each attack instance, the attacker chooses from multiple energy levels and expends attack energy to initiate interference. With the limitation of total attack energy, a dynamic programming algorithm is used to search for the optimal attack strategy. However, due to the curse of dimensionality, the algorithm exhibits high computational complexity. To address the issue, an approximate dynamic programming algorithm is presented to design approximately optimal strategies by leveraging the monotonicity of optimal value functions. The new algorithm is capable of obtaining a high-quality attack strategy within a relatively small number of iterations. Finally, a numerical example is provided to demonstrate the superiority of the developed algorithm.

关键词： Costs Heuristic algorithms Interference Inventory management Approximation algorithms Denial-of-service attack Routing Fisheries Dynamic programming Computational complexity

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Enhancing EEG Signal Reconstruction in Cross-Domain Adaptation Using CycleGAN

Enhancing EEG Signal Reconstruction in Cross-Domain Adaptati...

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Telecommunications and Intelligent Systems (ICTIS), International Conference on

作者： Samuele Russo Sameer Ahmed Imad Eddine Tibermacine Christian Napoli Department of Psychology Sapienza University of Rome Rome Italy Department of Computer Automation and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (数字)9798331527396

ISBN: (纸本)9798331527402

This paper explores the applicability of CycleGAN, to reconstruct as well as improve brain-computer interface (BCI) signals. The experimental protocol used in the study involves a real-world table tennis dataset that includes multiple-channel high-density electroencephalography (EEG) data and structural magnetic resonance imaging (MRI) scans from individuals. The overall purpose is to develop a system that would allow enhancing the low-quality or partially damaged EEG signals by using information obtained from MRI, which is represented by Continuous Wavelet Transform (CWT). This technique solves the problem of converting MRI data into effective EEG signals using CycleGAN. The approach may present some practical benefits in cases where signal quality becomes a problem, for example, in wireless or portable BCI equipment. Data preprocessing involves channel filtering of the data, segmentation, and conversion of the data to continuous wavelet transform format to be used by the model. This paper compares three models of CycleGAN, focusing on the various losses and using identity loss to improve them.

关键词： Wireless communication Adaptation models Continuous wavelet transforms Translation Magnetic resonance imaging Brain modeling Electroencephalography Data models Brain-computer interfaces Telecommunications

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Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse

Generative AI-empowered Effective Physical-Virtual Synchroni...

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2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023

作者： Xu, Minrui Niyato, Dusit Zhang, Hongliang Kang, Jiawen Xiong, Zehui Mao, Shiwen Han, Zhu Nanyang Technological University School of Computer Science and Engineering Singapore639798 Singapore Peking University School of Electronics Beijing100871 China Guangdong University of Technology School of Automation Guangzhou510006 China Singapore University of Technology and Design Pillar of Information Systems Technology and Design Singapore487372 Singapore Auburn University Department of Electrical and Computer Engineering AuburnAL36849-5201 United States University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

ISBN: (纸本)9798350333336

Metaverse seamlessly blends the physical world and virtual spaces through ubiquitous communication and computing equipment and infrastructure. In intelligent transportation systems, the vehicular Metaverse can provide a fully immersive and hyperreal travel experience (e.g., via augmented reality head-up displays, AR-HUDs) to drivers and passengers in autonomous vehicles (AVs) through roadside units (RSUs). However, providing real-time and immersive services requires effective physical-virtual synchronization between AVs and virtual simulators. This paper proposes a generative AI-empowered physical-virtual synchronization framework for the vehicular Metaverse. In physical-to-virtual synchronization, digital twin (DT) tasks generated by AVs are offloaded for execution in RSUs with future route generation. In virtual-to-physical synchronization, virtual simulators customize diverse and personalized AR content via generative AI models based on user preferences. Furthermore, we propose a multi-task enhanced auction-based mechanism to match and price AVs and virtual simulators for RSUs to provide real-time and effective services. Finally, property analysis and experimental results demonstrate that the proposed mechanism is strategy-proof and adverse-selection free while increasing social surplus. © 2023 IEEE.

关键词： Augmented reality

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Optimizing the Parameters of Fluidized Bed Dryer

Optimizing the Parameters of Fluidized Bed Dryer

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International Conference for Convergence of Technology (I2CT)

作者： Binjal Soni Jay Padhiyar A.G. Ragupathy Amitava Choudhury Santosh Bharti Department of Computer Science and Engineering Pandit Deendayal Energy University Gandhinagar India Department of Digitalization and Automation Zydus Group Ahmedabad India

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

The present study centres on the application of an all-encompassing methodology for optimizing the parameters of Fluidized Bed Dryer (FBD). First, a dataset with various FBD attributes are subjected to Principle Component Analysis (PCA). Subsequently, a variety of regression algorithms, including multiple linear regressors, support vector classifiers, decision trees, random forests, and gradient boosting regressors, are employed to analyze the identified key attributes. These attributes comprise the actual values of inlet air flow, inlet air temperature, exhaust air temperature, loss on drying, product temperature, and total drying time. When it comes to predicting the total drying time, the gradient boosting regressor performs better than others. A novel optimization technique called Bayesian optimization is used to find the optimized values of highly correlated features with the total drying time in order further maximize efficiency. This integrated approach uses both sophisticated machine learning algorithms for predictive modelling and optimization techniques to fine-tune specific parameters that are critical for the Fluidized Bed Dryer. The study's findings provide useful information about enhancing FBDs' overall performance and efficacy, which advances drying processes in a variety of industries.

关键词： Temperature Machine learning algorithms Predictive models Boosting Vectors Bayes methods Regression tree analysis

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Dynamic Modeling of Strip Rolling Process Using Probabilistic Neural Network

Dynamic Modeling of Strip Rolling Process Using Probabilisti...

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International Workshop on Advanced Motion Control (AMC)

作者： Jifei Deng Seppo Sierla Jie Sun Valeriy Vyatkin Department of Electrical Engineering and Automation Aalto University Espoo Finland State Key Laboratory of Rolling and Automation Northeastern University Shenyang China Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden

This paper proposes an intelligent dynamic modeling method for strip rolling process. Actuators of a cold rolling mill perform actions, including work roll bending, intermediate roll bending, and roll gap tilting, to regulate the product quality. Conventional first-principles modeling necessitates intricate mathematical equations derived from process analysis and action evaluation. However, the complexity of the model increases the difficulty of upgrading the model. To address this limitation, a novel approach involving a deep neural network with a Gaussian distribution layer is proposed to effectively capture the process dynamics. A negative log likelihood is established as the loss function for the model using real-world industrial data. Experiment outcomes demonstrate the efficacy of the proposed method in achieving an accurate dynamic model.

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A Neural Interface System-on-Chip for Nerve Signal Recording and Analysis of Human Gesture 8

A Neural Interface System-on-Chip for Nerve Signal Recording...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Liu, Junhuo Li, Zhijun Gu, Jason Feng, Ying Li, Guoxin College of Artificial Intelligence Anhui University Hefei230601 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei230088 China University of Science and Technology of China Department of Automation Hefei230026 China Dalhousie University Department of Electrical and Computer Engineering HalifaxNSCanada Canada School of Automation Science and Engineering South China University of Technology Guangzhou510640 China

ISBN: (纸本)9798350300178

The intensity of surface electromyography (sEMG) reflects the state of muscle activity, and the monitoring of neural activity is accomplished by recording and analyzing sEMG, so as to help the elderly and patients with muscle injury live normally. However, the current products in the literature or on the market cannot support the integration of signal recording and decision making simultaneously. To solve this challenge, a novel neural interface system-on-chip (SoC) is developed, which includes a neural signal recorder, a hardware integrated classifier with signal screening capability and a series of communication interfaces for data transmission. In addition, function circuits consisting of the controller and the clock generator are designed to provide operation instructions and the necessary reference timing. The prototype of the system was developed by using Verilog on FPGA. In the experiments, five volunteer subjects with healthy upper limbs were invited to participate in the verification of model parameter training and real-time gesture recognition. The experimental results show that the average recognition accuracy reach to 98.14%. which is better than the existing model of the same classifier. © 2023 IEEE.

关键词： System-on-chip

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Mechatronic Swarm and its Virtual Commissioning

Mechatronic Swarm and its Virtual Commissioning

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2023 IEEE International Conference on Mechatronics (ICM)

作者： Tuojian Lyu Andrei Lashchev Sandeep Patil Udayanto Dwi Atmojo Valeriy Vyatkin Department of Electrical Engineering and Automation Aalto University Espoo Finland Independent researcher Department of Computer Science Computer and Space Engineering Luleå Tekniska Universitet Sweden

This paper presents a swarm-based architecture for the composition of mechatronic systems from smart components complemented by a Virtual Commissioning (VC) environment. The architecture is based on the IEC 61499 standard. The proposed solution enables plug-and-play composition of the system which is ready to operate ”out of the box” right after it was composed without extra programming.

关键词： Mechatronics Programming IEC Standards Standards

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Model predictive control for water management and energy security in arid/semiarid regions

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Journal of automation and Intelligence 2022年第1期1卷 55-67页

作者： D.M.Bajany L.Zhang X.Xia Department of Electrical Electronic and Computer EngineeringUniversity of PretoriaPretoria 0002South Africa School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China

This paper aims to develop a realistic operational optimal management of a water supply system in an arid/semiarid region under climate change *** developed model considers the dynamic variation of water demand,rainfall,weather,and seasonal change in electricity *** is mathematically developed as a multi-constraint non-linear programming model based on model predictive control *** model optimises the quantities of water supplied by each source every month and improves the energy efficiency in a water supply system with multiple types of *** effectiveness of the developed MPC model is verified by applying it to a case study and comparing the results with those obtained with an open loop *** showed that using the MPC model leads to a 4.16%increase in the water supply cost compared to the open loop ***,when considering uncertainties in predicting water demands,aquifer recharges,rainfall,and evaporation rate,the MPC model was better than the open loop ***,the MPC model could meet the water demand at any period due to its predictability of variations,which was not the case with the open loop ***,a sensitivity analysis is conducted to verify the capacity of the developed model to deal with some phenomena due to climatic changes,such as in rainfall.

关键词： Water supply management Model predictive control Energy-water nexus

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