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Distributed adaptive stabilization for stochastic nonlinear systems with unknown boundaries: a novel fixed-time stability in probability

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Nonlinear Dynamics 2025年 1-15页

作者： Zhu, Jiahui Xie, Liping Zhang, Kanjian The Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing China Advanced Ocean Institute of Southeast University Nantong China

This paper investigates the adaptive fixed-time stabilization problem for a class of strict-feedback stochastic nonlinear systems with unknown parameter vectors and unbounded but estimable nonlinear boundary functions. By employing distributed Lyapunov functions for state-space partitioning and distinct error transformations, this paper ensures system states converge to zero in a fixed-time regardless of initial conditions and stochastic disturbances. This paper introduces a distributed controller design that uniquely combines adaptive backstepping with the adding one power integrator method, restricting tracking errors to a positive invariant set to avoid the inherent singularity risks in traditional backstepping-based stochastic control. Unlike existing fixed-time control approaches for stochastic systems, which are typically limited to bounded uncertainties or rely on fuzzy logic with high computational overhead, this paper promotes a method handles fully unknown and unbounded nonlinear boundaries by means of adaptive estimation, thereby completely eliminating the redundant terms inherent in fuzzy approximations and enhancing 30–40% computing efficiency. Two simulations evaluate the robustness and efficacy of the proposed method under diverse initial conditions and stochastic disturbances, using settling time within the theoretically derived fixed convergence time to validate its practical applicability.

关键词： Fixed-time control Adaptive control Stochastic nonlinear systems

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Finite-Time Observer Based Integral Terminal SMC for Converter-Driven Motor systems with Mismatched Disturbances

Finite-Time Observer Based Integral Terminal SMC for Convert...

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2023 China automation Congress, CAC 2023

作者： Zhang, Zhongding Guo, Zeyu Wang, Zuo Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Shenzhen Research Institute Southeast University Shenzhen518063 China

ISBN: (纸本)9798350303759

Converter-driven motor systems play crucial roles in contemporary industrial applications owning to the advantages of smooth starting and stepless speed regulation. For such fourth-order systems with both immeasurable states and mismatched disturbances, a finite-time control solution is proposed to address the speed tracking problem in this paper. Firstly, a finite-time observer is constructed to precisely estimate the immeasurable states and mismatched disturbances. Then, based on integral terminal sliding mode control (ITSMC), a continuous finite-time controller is designed for the systems to achieve both rapid response and superior speed tracking performance. Furthermore, a rigorous global finite-time stability analysis for the closed-loop system is presented. Finally, simulation results validate the effectiveness of the proposed control method. As compared with existing methods, the composite ITSMC algorithm design demonstrates reliable finite-time speed tracking performance and exceptional capability in disturbance rejection. © 2023 IEEE.

关键词： Disturbance rejection

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Cooperative Resource Allocation for NOMA-MEC Multi-Cell Network

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IEEE Transactions on Vehicular Technology 2025年第6期74卷 9027-9042页

作者： Cai, Yujin Zhang, Zaichen Huang, Yongming Yu, Wenwu Nie, Xiaokai Liu, Hongzhe Southeast University School of Mathematics Jiangsu Nanjing211189 China Southeast University National Mobile Communications Research Laboratory Nanjing211189 China Purple Mountain Laboratories Nanjing211111 China Southeast University School of Automation Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Southeast University Shenzhen Research Institute Shenzhen518057 China

Integrating non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) enables IoT nodes to offload their complicated tasks to MEC servers. Most of the existing resource allocation schemes in NOMA-MEC networks are based on the centralized optimization framework, which may increase the communicational and computational burden on the central unit. In this paper, the NOMA-MEC multi-cell network without the central unit is considered. To minimize the task completion time and offloading cost, a joint optimization problem including sub-channel allocation, transmit power, offloaded proportions, computing frequencies of IoT nodes and MEC servers, and price of MEC resources is investigated. In order to tackle the formulated mixed integer nonlinear programming problem, a two-stage low-complexity distributed algorithm based on the cooperation of all base stations (BSs) is proposed. Specifically, in Stage 1, a distributed heuristic sub-channel allocation algorithm is designed based on the sub-channel gains. In Stage 2, with the obtained sub-channel allocation result, a cooperative distributed continuous variable optimization algorithm is devised based on the distributed optimization and alternating optimization methods. Numerical results demonstrate the convergence of the proposed two-stage algorithm for three interference cases. Besides, the impacts of system parameters and schemes on the network performance are analyzed. More importantly, the resource allocation time can be significantly shortened by employing the cooperation of BSs compared with the centralized algorithm © 1967-2012 IEEE.

关键词： Nonlinear programming

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Vibration Mitigation of Hybrid Oscillating Water Column-Floating Offshore Wind Turbine Using ANFIS-Based Airflow control 16th

Vibration Mitigation of Hybrid Oscillating Water Column-Floa...

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16th APCA International Conference on Automatic control and Soft Computing, controlO 2024

作者： M’zoughi, Fares Aboutalebi, Payam Ahmad, Irfan Rouch, Tahereh Bagheri Garrido, Izaskun Garrido, Aitor J. De La Sen, Manuel Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao—EIB/BIE University of the Basque Country—UPV/EHU Po Rafael Moreno no. 3 Bilbao48013 Spain Automatic Control Group—ACG Institute of Research and Development of Processes IIDP Department of Electricity and Electronics Faculty of Science and Technology University of the Basque Country—UPV/EHU Bo Sarriena s/n Leioa48080 Spain

ISBN: (纸本)9783031817236

This paper introduces a novel approach to model and stabilize a Floating Offshore Wind Turbine (FOWT) by employing Oscillating Water Columns (OWC) as an active structural control system. The innovative concept involves designing a new floating barge-like platform with integrated OWCs on opposite sides of the platform to mitigate undesired oscillations of the system. These OWCs counteract the bending forces caused by wind on the tower and waves on the barge platform. To synchronize the opposing forces with the system’s tilting, a proposed Adaptive Neuro-Fuzzy Inference System-based airflow control strategy is employed. Through manipulation of the barge platform’s pitch angle, the ANFIS airflow control system adjusts the valves on either side, opening one and closing the other accordingly. Simulation results, compared with a standard FOWT demonstrate the effectiveness of the ANFIS airflow control. It is shown to be superior in reducing platform pitching and the fore-aft translation of the tower top. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Active Structural control Air Valve Airflow control ANFIS Barge Platform Floating Offshore Wind Turbine Oscillating Water Column

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Torque Monitoring System at Rolling Mill Stand Spindles

Torque Monitoring System at Rolling Mill Stand Spindles

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International Conference on Industrial engineering, Applications and Manufacturing (ICIEAM)

作者： O. A. Gasiyarova R. A. Lisovsky M. A. Zinchenko Department of Automation and Control Moscow Polytechnic University Moscow Russia Power Engineering and Automated Systems Institute Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (数字)9798331512194

ISBN: (纸本)9798331512200

Today on-line monitoring of the technical state and assessment of the service life of electromechanical systems at rolling mills is an urgent problem. To resolve it, it is necessary to substantiate the method for calculation of the remaining life under dynamic loads and to develop technical means for the method implementation. The authors have studied the oscillograms of speeds and torques of the motors of the top and bottom rolls main drives (TMD and BMD) for the plate mill 5000. A considerable difference between static (and consequently, dynamic) torques of these motors has been confirmed. When the loaded electrical drive reaches the limit torque values, it causes the loss of the motor control and increased amplitudes of elastic torque at the spindle when the rolls pick up metal. This confirms that it is important to study the dependence between elastic torque amplitude and thickness reduction and to develop the method to calculate mechanical equipment life at intermittent dynamic loads. An information system for on-line monitoring of elastic torques at spindles has been developed. Elastic torque recovery is conducted by the observer that additionally calculates the extent of equipment wear. The authors have substantiated the calculation of fatigue loading based on the Palmgren-Miner linear damage rule. The article also considers analytical expressions used to obtain dependences between wear and torque degree during metal pickup. The authors have calculated the spindle wear for different time periods at rolling sheets for actual plant stock. As a result, the difference in fatigue life of TMD and BMD spindles was confirmed. The authors give recommendations on the commercial adoption of the solutions and applying BigData technologies for dataset processing.

关键词： Motor drives Torque Loading Metals Observers Motors Fatigue Torque measurement Electromechanical systems Monitoring

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Approximate state estimation with large-scale sensor networks under event-based sensor scheduling strategy 63

Approximate state estimation with large-scale sensor network...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Liu, Xinhui Cheng, Meiqi Shi, Dawei Shi, Ling Beijing Institute of Technology Miit Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Kowloon Hong Kong

ISBN: (纸本)9798350316339

In this paper, we investigate the issues of real-time sensor scheduling and state estimator design within large-scale sensor network systems. Specifically, data redundancy sometimes occurs in large-scale sensor arrays due to the excessive proximity of sensing units in the spatial domain, leading to high similarity in their measurement data. Currently, it is difficult to account for such redundancy in sensor scheduling algorithms found in existing literature, where the optimal subset of sensors is generally selected by optimizing objective functions formulated from certain performance criteria. To tackle this problem, we introduce an event-based sensor scheduling strategy, the triggering condition of which is designed founded on the similarity of sensor data, so as to identify the most informative subset of sensors for state estimation. To evaluate the impact of the sensor scheduling protocol on system observability, we propose a new notion of E(varepsilon)-observability, based on which an observability criterion is derived. In addition, we have designed a set-valued state estimation algorithm, which takes into account the intricate measurement information structure inherent within the sensor selection mechanism. The performance enhancement of the proposed estimator is also investigated. Finally, numerical experiments are conducted to validate the effectiveness of the proposed estimation algorithm and to verify the performance improvement. © 2024 IEEE.

关键词： Scheduling algorithms

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Interval Perturbed Motion of Modified Discrete-Time Mackey-Glass System 17

Interval Perturbed Motion of Modified Discrete-Time Mackey-G...

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17th IEEE International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer engineering, TCSET 2024

作者： Voliansky, Roman Volianska, Nina Sergienko, Oleg Shramko, Iurii Sadovoi, Oleksandr Arif, Yunifa Miftachul Automation and Electric Drives National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Electromechanical Systems Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Heat and Alternative Power Engineering Kyiv Ukraine Dniprovsk State Technical University Department of Electrical Engineering Kamyanske Ukraine University Islam Negeri Maulana Malik Ibrahim Malang Department of Informatics Engineering Malang Indonesia

ISBN: (纸本)9798331520564

Our paper is devoted to the design of a novel chaotic oscillator. Our design uses a well-known Mackey-Glass system. We consider the above-mentioned chaotic system in the discrete-time domain and assume that its parameters can change at some intervals. This assumption allows us to write down an interval model Mackey-Glass system. This model can be used to define the amplitude of chaotic oscillations in the interval boundaries that correspond above-mentioned intervals of system parameters. At the same time, system nonlinearity makes it quite hard to analyze system dynamics and perform system transformations. That is why we define piecewise linear boundaries for the state space domain where the system nonlinearity is defined. These piecewise linear functions give us the possibility to rewrite the nonlinear interval Mackey-Glass equation into linear-like equations and formulate some requirements for the generalized infinite-dimension system with chaotic dynamics. One can use the above-mentioned interval equation to define system average motion and motions which are caused by fluctuations of system parameters. The last one we call a system perturbed motion equation and use known system equations to transform it into a form that does not depend on average system motion. The benefits of our approach are proven by simulation results which can be performed by using various MCU/FPGA devices to implement the proposed chaotic oscillator. © 2024 IEEE.

关键词： Piecewise linear techniques

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Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization 38

Beyond Efficiency: Molecular Data Pruning for Enhanced Gener...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Chen, Dingshuo Li, Zhixun Ni, Yuyan Zhang, Guibin Wang, Ding Liu, Qiang Wu, Shu Yu, Jeffrey Xu Wang, Liang New Laboratory of Pattern Recognition State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences China School of Artificial Intelligence University of Chinese Academy of Sciences China Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong Academy of Mathematics and Systems Science Chinese Academy of Sciences China Tongji University China

With the emergence of various molecular tasks and massive datasets, how to perform efficient training has become an urgent yet under-explored issue in the area. Data pruning (DP), as an oft-stated approach to saving training burdens, filters out less influential samples to form a coreset for training. However, the increasing reliance on pretrained models for molecular tasks renders traditional in-domain DP methods incompatible. Therefore, we propose a Molecular data Pruning framework for enhanced Generalization (MolPeg), which focuses on the source-free data pruning scenario, where data pruning is applied with pretrained models. By maintaining two models with different updating paces during training, we introduce a novel scoring function to measure the informativeness of samples based on the loss discrepancy. As a plug-and-play framework, MolPeg realizes the perception of both source and target domain and consistently outperforms existing DP methods across four downstream tasks. Remarkably, it can surpass the performance obtained from full-dataset training, even when pruning up to 60-70% of the data on HIV and PCBA dataset. Our work suggests that the discovery of effective data-pruning metrics could provide a viable path to both enhanced efficiency and superior generalization in transfer learning. © 2024 Neural information processing systems foundation. All rights reserved.

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Astronomical Image Processing by the Lemur Software 24

Astronomical Image Processing by the Lemur Software

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6th Asia Conference on Machine Learning and Computing, ACMLC 2024

作者： Khlamov, Sergii Savanevych, Vadym Briukhovetskyi, Oleksandr Vlasenko, Vladimir Dikov, Yevhen Dmytrenko, Artem Department of Media Systems and Technologies Kharkiv National University of Radio Electronics Kharkiv Ukraine Department of systems engineering Kharkiv National University of Radio Electronics Kharkiv Ukraine Western Center of Radio Engineering Surveillance National Space Facilities Control and Test Center Kyiv Ukraine Space Research and Communication Center National Space Facilities Control and Test Center Kyiv Ukraine Department of Software Engineering GlobalLogic Incorporation Kharkiv Ukraine Institute of Astronomy V. N. Karazin Kharkiv National University Kharkiv Ukraine

ISBN: (纸本)9798400710018

The astronomical images are made by cameras with the charge-coupled device (CCD). They can be received from the different sources, like servers, clusters, predefined series, archives or "live" (online) data streams. The astronomical images processing is focused on but not limited to the following tasks: data mining, knowledge discovery, big astronomical data processing, filtering, background alignment, brightness equalization, segmentation, classification, image recognition, object's image detection, object's astrometry and photometry, moving object detection, parameters determination of the object's image and apparent motion, reference objects selection and others. The modern Lemur software of the Collection Light Technology (CoLiTec) project (https://***) was developed using the described above technologies and approaches. The Lemur software is designed to perform a sequence of the following main steps: pre-processing (astronomical information collection -> worst data rejection -> useful data extraction -> data mining -> classification -> background alignment -> brightness equalization), image processing (segmentation -> typical form analysis -> recognition patterns applying -> detection of the object's image -> astrometry -> photometry -> objects identification -> tracks detection), knowledge discovery (Solar System objects or artificial satellites to be discovered, tracks parameters for the investigation, light curves of the variable stars, scientific reports in the international formats). The paper describes the modern features for the astronomical image processing implemented in the Lemur software. It has assisted in making over 1700 discoveries of asteroids, including 5 NEOs, 21 Trojan asteroids of Jupiter, 1 Centaur. In total it has been used in about 800 000 observations, during which five comets were discovered. All such observations and discoveries have official observational circulares from the Minor Planet Center (MPC) of the International Ast

关键词： Asteroids

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Non-Rigid 3D Point Set Registration With Reliable Hybrid Mixture Model

Non-Rigid 3D Point Set Registration With Reliable Hybrid Mix...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Huang, Haocheng Zhang, Zhengyan Min, Zhe Meng, Max Q.-H. Song, Shuang Wang, Jiaole Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen518055 China Shandong University School of Control Science and Engineering Jinan250061 China Southern University of Science and Technology in Shenzhen Department of Electronic and Electrical Engineering China The Chinese University of Hong Kong Department of Electronic Engineering Hong Kong Shenzhen Research Institute of the Chinese University of Hong Kong Shenzhen China

ISBN: (纸本)9798350325706

Non-rigid point set registration is an essential technique in fields such as robotics, computer vision, image-guided surgery, and augmented reality. However, effectively addressing non-rigid deformations and handling noise interference remains a significant challenge in this context. This paper introduces a novel hybrid mixture model (HMM), combining a Gaussian mixture model (GMM) to describe positional features and a Fisher mixture model (FMM) to represent orientation features. This hybrid mixture model offers a solution to the non-rigid point set registration (PSR) problem. The proposed approach iteratively optimizes model parameters through the maximum expectation (EM) algorithm. It comprehensively explores registration performance, accounting for non-rigid deformations amidst isotropic and anisotropic positional noise. The proposed approach further incorporates reliable normal vectors for evaluating orientation features. Extensive experiments on non-rigid PSR demonstrates the improvements our algorithm offers in terms of both robustness and accuracy. © 2023 IEEE.

关键词： Nonrigid point set registration partial hybrid mixture model surgical navigation

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