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Lyapunov-based event-triggered control for nonlinear plants subject to disturbances and transmission delays

Science China(Information Sciences) 2020年第5期63卷 146-160页

作者： Xiaoda HU Hao YU Fei HAO The Seventh Research Division School of Automation Science and Electrical EngineeringBeihang University The Department of Electrical and Computer Engineering University of Alberta

This paper studies event-triggered control for disturbed nonlinear systems. A new dual-stage Lyapunov-based event-triggering condition is proposed to cope with the time-varying transmission *** the first stage, the ratio of Lyapunov function values at the last two triggering instants is *** based on the ratio, the corresponding threshold function is selected from two candidate forms. It is proved that the designed event-triggered control system is input-to-state practically stable with respect to the measurement errors and disturbances. Moreover, Zeno behavior is excluded successfully by calculating the lower bound of the minimum inter-event times. Finally, a simulation example is provided to show the feasibility and the effectiveness of the proposed approach.

关键词： event-triggered control nonlinear systems networked control systems disturbed systems transmission delays

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Analysis of Predictive Current Regulator for High-Speed IPMSM Operating at Low Sampling to Fundamental Frequency Ratios

Analysis of Predictive Current Regulator for High-Speed IPMS...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Shengyu Lin Daniel L. Mon-Nzongo Paul G. Ipoum-Ngome Chunyan Lai College of Electrical Engineering and Automation Fuzhou University Fuzhou China Department of Electrical and Computer Engineering Concordia University Concordia Canada

At low sampling to fundamental frequency ratios, the time delay introduced by the Pulse Width Modulation (PWM) calculation and the duty cycle update deteriorates the decoupling dynamic between d and q-axis currents. The controllers implemented with One-step Current Prediction (OCP) method can reduce the effects of PWM delay. But, inappropriate tuning of the control parameters will lead to poor dynamic responses and less stability. Therefore, a comprehensive analysis and tuning approach are proposed in this paper, for the PI and the Internal Model Controller (IMC) with the OCP. In addition, an active resistance for the Interior Permanent Magnet Synchronous Motors (IPMSM) is designed and implemented in IMC to enhance the disturbance rejection capabilities. This paper introduces the root locus to select the correct parameter with better dynamic response and stability. With OCP and active resistance, the IMC controller obtains an improved dynamic response and stability at a minimum sampling ratio of 5. Simulation results performed at various conditions have successfully validated this study.

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Modelling and simulation of a commercially available dielectric elastomer actuator

arXiv

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arXiv 2023年

作者： Sohlbach, Lukas Hobbani, Hamza Blase, Chistopher Perez-Peña, Fernando Schmidt, Karsten Department of Computer Science and Engineering Frankfurt University of Applied Sciences Frankfurt/Main Germany The Department of Automation Electronics and Computer Architecture and Networks School of Engineering University of Cadiz Cadiz Spain

In order to fully harness the potential of dielectric elastomer actuators (DEAs) in soft robots, advanced control methods are needed. An important groundwork for this is the development of a control-oriented model that can adequately describe the underlying dynamics of a DEA. A common feature of existing models is that always custom-made DEAs were investigated. This makes the modelling process easier, as all specifications and the structure of the actuator are well known. In the case of a commercial actuator, however, only the information from the manufacturer is available and must be checked or completed during the modelling process. The aim of this paper is to explore how a commercial stacked silicone-based DEA can be modelled and how complex the model should be to properly replicate the features of the actuator. The static description has demonstrated the suitability of Hooke's law. In the case of dynamic description, it is shown that no viscoelastic model is needed for control-oriented modelling. However, if all features of the DEA are considered, the generalized Kelvin-Maxwell model with three Maxwell elements shows good results, stability and computational efficiency. © 2023, CC BY-NC-SA.

关键词： Elastomers

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Neural Network-Based Adaptive Fixed-Time Terminal Sliding Mode Control for Unknown Nonlinear Systems

Neural Network-Based Adaptive Fixed-Time Terminal Sliding Mo...

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2024 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2024

作者： Liu, Siwen Zuo, Yi Li, Tieshan Wang, Huanqing Gao, Xiaoyang Xiao, Yang The Navigation College Dalian Maritime University Liaoning Dalian China The School of Automation Engineering University of Electronic Science and Technology of China Sichuan Chengdu China The School of Mathematical Sciences Bohai University Liaoning Jinzhou China The University of Alabama Department of Computer Science Tuscaloosa United States

ISBN: (纸本)9798331504755

The adaptive fixed-time terminal sliding mode control (TSMC) problem will be discussed for unknown nonlinear strict-feedback systems. Neural networks are used to estimate the unknown nonlinearities existing in the systems. When the control scheme is designed, the dynamic surface control (DSC) method is applied to avert the derivation of the virtual control signal and a novel hyperbolic tangent filter is developed. Subsequently, the adaptive control method is introduced to proposed a terminal sliding surface (TSS). Consequently, an adaptive TSMC controller is developed. Using the Lyapunov stability theory, we prove that the tracking error inclines to the TSS and a small interval near zero, and the closed-loop signals are bounded within fixed time. Finally, the availability of the proposed scheme is demonstrated by the simulation example. © 2024 IEEE.

关键词： Sliding mode control

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Analysis of the Status Quo and Coupling Mechanisms of the Ancillary Services Market with Carbon Market, Green Certificate Market and Green Electricity Market Under the Green Energy Transformation 1

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8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023

作者： Wang, Jiahao Ma, Hengrui Wang, Bo Alharbi, Abdullah Wang, Hongxia Li, Xiaozhu Industry Research Center Qinghai University Xining810016 China School of Electrical and Automation Wuhan University Hubei Wuhan430072 China Hubei Key Laboratory of Power Equipment and System Security for Integrated Energy School of Electrical Engineering and Automation Wuhan University Wuhan China Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Department of Electrical and Computer Engineering University of Denver Denver United States Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology Xinjiang University Xinjiang Urumqi830047 China School of Electrical and Automation Xinjiang University Urumqi830047 China

ISBN: (数字)9789819992515

ISBN: (纸本)9789819992508

Against the backdrop of the "dual carbon" goal and the green of energy transformation, the volatility and randomness issues of the new power system dominated by wind and solar power are becoming increasingly prominent, affecting the safe and stable operation of the power system. Therefore, the role of auxiliary services in promoting the use of alternative energy sources and ensuring power quality is becoming increasingly. In this context, this article summarizes and organizes the current development and operations status of the auxiliary services market, carbon market, green certificate market, and green electricity market in mature foreign markets, as well as the experience that can be used for reference. It also sorts out the relationship between the interaction and influence of the auxiliary services market and various other markets. Finally, based on the practical needs for market development to facilitate China’s green energy transformation, development recommendations are provided for the design of the auxiliary services market and various market coupling mechanisms, to fully leverage the synergistic effect of the auxiliary services market with the carbon market, green certificate market, and green electricity market, support China's green energy transformation. © 2024, State Grid Electric Power.

关键词： Carbon

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Prediction of Parkinson’s disease based on artificial neural networks using speech datasets

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Journal of Ambient Intelligence and Humanized Computing 2023年第10期14卷 13571-13584页

作者： Liu, Wei Liu, Jierong Peng, Tao Wang, Guojun Balas, Valentina Emilia Geman, Oana Chiu, Hung-Wen School of Information and Communication Engineering Hainan University Hainan Haikou570228 China School of Computer Science and Cyber Engineering Guangzhou University Guangdong Guangzhou510006 China College of Biomedical Information and Engineering Hainan Medical University Street Hainan Haikou571199 China Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Arad310130 Romania Department of Health and Human Development Stefan cel Mare University of Suceava Suceava720229 Romania Graduate Institute of Biomedical Informatics Taipei Medical University Taipei Taiwan

Parkinson’s disease (PD) is a progressive disorder of the nervous system that affects movement. Early prediction of PD can increase the chances of earlier intervention and delay the onset of the disease. Vocal impairment is one of the most important signs in the early stages of PD. Therefore, PD detection based on speech analysis and vocal patterns has attracted significant attention recently. In this paper, we propose a vowel-based artificial neural network (ANN) model for PD prediction based on single vowel phonation. Firstly, we propose a novel multi-layer neural network based on speech features to predict PD. The speech samples from 48 PD patients and 20 healthy individuals are processed into four types: vowel, number, word, and short sentence. Secondly, we establish ANN models with single-type speech samples versus combinations of multi-type speech samples, respectively. Comparative experiments demonstrate that the single-type vowel model is superior to other single-type models as well as multi-type models. Finally, we build a vowel-based ANN model for PD prediction and evaluate its performance. Extensive experiments demonstrate that the proposed model has a prediction accuracy of 91%, sensitivity of 99%, specificity of 82%, and area under the receiver operating characteristic curve (AUC) of 91%, which is superior to the performance of previous methods. Overall, this study demonstrates that the proposed model can provide good classification accuracy for predicting PD and can improve the rate of early diagnosis. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Network layers

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An Efficient FOPID Controller Design for Vehicle Cruise Control System Using HHO Algorithm 3

An Efficient FOPID Controller Design for Vehicle Cruise Cont...

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3rd International Congress on Human-computer Interaction, Optimization and Robotic Applications, HORA 2021

作者： Izci, Davut Ekinci, Serdar Batman University Department of Electronics and Automation Batman Turkey Batman University Department of Computer Engineering Batman Turkey

ISBN: (纸本)9781665440585

This paper attempts to further demonstrate the capability of a highly effective metaheuristic approach known as Harris hawks optimization algorithm. In this respect, a vehicle cruise control system was used as one of the crucial real-world engineering optimization problems. The efficacy of the Harris hawks optimization algorithm was demonstrated through designing an optimal fractional order proportional-integral-derivative controller adopted in a vehicle cruise control system. The proposed approach in this work has been compared with other available and most effective approaches in the literature. The comparative transient and frequency stability analyses have confirmed the proposed approach to be superior to other promising techniques presented in the literature for operation of a vehicle cruise control system. © 2021 IEEE.

关键词： Optimization

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COLLAGENET: FUSING ARBITRARY MELODY AND ACCOMPANIMENT INTO A COHERENT SONG 22

COLLAGENET: FUSING ARBITRARY MELODY AND ACCOMPANIMENT INTO A...

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22nd International Conference on Music Information Retrieval, ISMIR 2021

作者： Wuerkaixi, Abudukelimu Benetatos, Christodoulos Duan, Zhiyao Zhang, Changshui Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering University of Rochester United States

ISBN: (纸本)9781732729902

When writing pop or hip-hop music, musicians sometimes sample from other songs and fuse the samples into their own music. We propose a new task in the symbolic music domain that is similar to the music sampling practice and a neural network model named CollageNet to fulfill this task. Specifically, given a piece of melody and an irrelevant accompaniment with the same length, we fuse them into harmonic two-track music after some necessary changes to the inputs. Besides, users are involved in the fusion process by providing controls to the amount of changes along several disentangled musical aspects: rhythm and pitch of the melody, and chord and texture of the accompaniment. We conduct objective and subjective experiments to demonstrate the validity of our model. Experimental results confirm that our model achieves significantly higher level of harmony than rule-based and data-driven baseline methods. Furthermore, the musicality of each of the tracks does not deteriorate after the transformation applied by CollageNet, which is also superior to the two baselines. © 2021 Proceedings of the 22nd International Conference on Music Information Retrieval, ISMIR 2021. All Rights Reserved.

关键词： Music

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Design and implementation of an IoT based wheelchair for the treatment of spinal cord injuries 6

Design and implementation of an IoT based wheelchair for the...

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6th IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2023

作者： Lopes, Ewerton V. Fernandes, Neuman F. De O. Carlos, Jose Diego R. C, Silva Nogueira, Marcelo B. Rodrigues, Marconi C. Federal University of Rio Grande Do Norte Science and Technology School Natal Brazil Federal University of Rio Grande Do Norte Department of Computer Engineering and Automation Natal Brazil Federal University of Rio Grande Do Norte Department of Physical Education Natal Brazil

ISBN: (纸本)9798350396577

This paper deals with the construction of an intelligent device for health treatment of wheelchair patients. More specifically, adding sensors to a wheelchair for the treatment of spinal cord injuries. The article shows from the choice of hardware to be embedded to the connection of the device to an IoT platform. The treatment is based on monitoring the pressure distribution on the chair when the patient is seated. The patient can adjust his posture using visual feedback given by the system. From there, some experimental protocols and therapies for the treatment of this type of lesion can be applied and monitored. Preliminary results validate the proposal and qualify it for use with real patients. © 2023 IEEE.

关键词： Wheelchairs

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Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and A Fourier Kolmogorov-Arnold Framework 39

Representing Sounds as Neural Amplitude Fields: A Benchmark ...

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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Li, Linfei Zhang, Lin Wang, Zhong Zhang, Fengyi Li, Zelin Shen, Ying School of Computer Science and Technology Tongji University China Department of Automation Shanghai Jiao Tong University China School of Electrical Engineering and Computer Science The University of Queensland Australia McCormick School of Engineering Northwestern University China

ISBN: (纸本)157735897X

Although Coordinate-MLP-based implicit neural representations have excelled in representing radiance fields, 3D shapes, and images, their application to audio signals remains underexplored. To fill this gap, we investigate existing implicit neural representations, from which we extract 3 types of positional encoding and 16 commonly used activation functions. Through combinatorial design, we establish the first benchmark for Coordinate-MLPs in audio signal representations. Our benchmark reveals that Coordinate-MLPs require complex hyperparameter tuning and frequency-dependent initialization, limiting their robustness. To address these issues, we propose Fourier-ASR, a novel framework based on the Fourier series theorem and the Kolmogorov-Arnold representation theorem. Fourier-ASR introduces Fourier Kolmogorov-Arnold Networks (Fourier-KAN), which leverage periodicity and strong nonlinearity to represent audio signals, eliminating the need for additional positional encoding. Furthermore, a Frequency-adaptive Learning Strategy (FaLS) is proposed to enhance the convergence of Fourier-KAN by capturing high-frequency components and preventing overfitting of low-frequency signals. Extensive experiments conducted on natural speech and music datasets reveal that: (1) well-designed positional encoding and activation functions in Coordinate-MLPs can effectively improve audio representation quality;and (2) Fourier-ASR can robustly represent complex audio signals without extensive hyperparameter tuning. Looking ahead, the continuity and infinite resolution of implicit audio representations make our research highly promising for tasks such as audio compression, synthesis, and generation. Copyright © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Network coding

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