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检索条件"任意字段=13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024"

共 716 条记录，以下是391-400 订阅

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Optimal Tracking control for Constrained Two-Link Robot Based on Adaptive Dynamic Programming

Optimal Tracking Control for Constrained Two-Link Robot Base...

引用

data driven control and learning systems (ddcls)

作者： Xin Liao Kang Wang Xiaoli Li Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this paper introduces a novel state and input constrained optimal tracking control method to address limitations posed by only partially known robot system models and constrained physical variables, such as joint position, velocity, and torque during the control process. the method employs the slack function and nonquadratic function methods to effectively handle state error and input constraints, ensuring the overall stationarity and safety of the control process. Subsequently, the adaptive dynamic programming (ADP) algorithm is designed to formulate update laws for the approximating neural networks, enabling the derivation of optimal control solutions without relying on an internal dynamic model of the system. Finally, convergence and performance are validated through simulation experiments, confirming its efficacy in managing constraints and demonstrating its application perspectives in real-world scenarios.

关键词： Adaptation models Adaptive systems Torque Heuristic algorithms Simulation Process control Robustness

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Fault Diagnosis and Location Research for Distributed control System of Offshore Wind Turbines

Fault Diagnosis and Location Research for Distributed Contro...

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data driven control and learning systems (ddcls)

作者： Shaoping Wang Ronghao Wang Zhaoxia Duan College of Electrical and Power Engineering Hohai University Nanjing China College of Defense Engineering Army Engineering University of PLA China College of Artificial Intelligence and Automation Hohai University Nanjing China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

A communication fault diagnosis and positioning scheme is designed according to the characteristics of the distributed control system of offshore wind turbine. Firstly, to simplify the communication link between distributed system units, effectively control the topology between fan networks, and divide the wind farm of distributed wind turbines. then, using heartbeat detection algorithm and heartbeat mechanism to diagnose the communication master-slave node of distributed system, the unit fault localization is completed. Finally, through simulation validation and comparison with traditional algorithms, it is shown that the distributed fault diagnosis and positioning scheme proposed in this paper has high diagnostic and positioning accuracy for communication faults in distributed control systems.

关键词： Fault diagnosis Location awareness Accuracy Heart beat Decentralized control Wind farms Main-secondary

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New Extended Iterative Algorithms for Solving Stochastic Coupled Algebraic Riccati Equation with Poisson Jump Intensity

New Extended Iterative Algorithms for Solving Stochastic Cou...

引用

data driven control and learning systems (ddcls)

作者： Zhiguo Yan Tingkun Sun Guolin Hu School of Information and Automation Qilu University of Technology (Shandong Academy of Sciences) Jinan China School of Mathematics and Statistics Qilu University of Technology (Shandong Academy of Sciences) Jinan China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this paper focuses on the optimal control problem for stochastic Markovian jump systems perturbed by Wiener and Poisson noises. the aim of this paper designs new extended iterative algorithms for solving the stochastic coupled algebraic Ric-cati equation (SCARE) containing Poisson jump intensity A. Initially, the existence of SCARE with $A$ is proved. Subsequently, an extended iterative algorithm, which is more complex than the some existing algorithms, is presented to solve the SCARE. Furthermore, a new iterative algorithm that the Lyapunov equation includes partly $A$ is designed to access the relationship of $A$ and convergence accuracy. Finally, a practical example is provided to demonstrate the effectiveness of the algorithms.

关键词： learning systems Accuracy Deformation Simulation Noise Riccati equations Optimal control

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Zonotopic Kalman Filter-Based Velocity Estimation for Autonomous Underwater Vehicles

Zonotopic Kalman Filter-Based Velocity Estimation for Autono...

引用

data driven control and learning systems (ddcls)

作者： Yuxi Liu Jitao Li Wenhan Zhang Aijun Chen Zhenhua Wang Mingjun Zhang College of Mechanical and Electrical Engineering Harbin Engineering University Harbin China Aerospace System Engineering Shanghai Shanghai P. R. China Shanghai Institute of Satellite Engineering Shanghai P. R. China School of Astronautics Harbin Institute of Technology Harbin China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this paper proposes a zonotopic Kalman filter-based interval velocity estimation for autonomous underwater vehicles. We relax our previous works by incorporating the technique of zonotopic Kalman filter. To enhance the performance of state estimation, segment minimization is implemented to attenuate the effect of uncertainties. Simulation results on “UVIC- I” validate the validity of the presented method.

关键词： learning systems Autonomous underwater vehicles Uncertainty Simulation Sea measurements Predictive models Minimization

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data-driven Model-Free Adaptive control for Motion control systems with Saturation Constraints

Data-Driven Model-Free Adaptive Control for Motion Control S...

引用

data driven control and learning systems (ddcls)

作者： Baohan Mi Xin Huo Rongmei Li Fan Xu Hui Zhao Control and Simulation Center Harbin Institute of Technology Harbin P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In actual motion control systems, saturation constraints are generally encountered, restricting the tracking performance seriously. this paper aims at devising an anti-windup scheme for motion control systems controlled by full form dynamic linearization based model-free adaptive control (FFDL-MFAC). the proposed anti-windup scheme includes a designed saturation identifier and a modified control algorithm. With the proposed hysteresis-deadband characteristic modules, the identifier exhibits robust tolerance on signal noise. For the modified control algorithm, the cumulative term of error will be cut off by the output of the identifier when the actuator falls saturated, supporting exiting saturation constraint once reaches. Besides, the performance and the BIBO stability of the system controlled by the proposed scheme are substantiated. Finally, numerical simulations are presented to demonstrate the superiority of the proposed scheme, even in the presence of signal noise and disturbances.

关键词： Adaptation models Tracking Heuristic algorithms Noise control systems data models Stability analysis

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Robust data-driven Attitude control for Satellite Using Koopman Operator theory

Robust Data-Driven Attitude Control for Satellite Using Koop...

引用

data driven control and learning systems (ddcls)

作者： Aijun Chen Shichao Bu Lei Cui Wenhan Zhang Jitao Li Zhenhua Wang Shanghai Institute of Satellite Engineering Shanghai P. R. China Aerospace System Engineering Shanghai Shanghai P. R. China Harbin Engineering University Harbin P. R. China Harbin Institute of Technology Harbin P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this paper studies the synthesis of robust control for a satellite attitude control system without pre-knowledge of model dynamics. First, by exploring the time-series data of satellite angular velocity, a lifted discrete-time linear system is constructed using Koopman operator theory and extended dynamic mode decomposition. this system provides an explanation for a finite measurement history. Second, an $\mathcal{H}_\infty$ controller is designed to attenuate the effect of external disturbances and approximation errors during the stabilization process. the proposed methodology is able to guarantee the robustness performance. Finally, numerical simulations are performed to validate the effectiveness of the proposed method.

关键词： Robust control Satellites Attitude control Simulation Process control Numerical simulation Robustness

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Establishment and Application for a Class of Multibeam Bathymetry System Model

Establishment and Application for a Class of Multibeam Bathy...

引用

data driven control and learning systems (ddcls)

作者： Junlin Mou Ruikun Zhang School of Mathematics and Physics Qingdao University of Science and Technology Qingdao China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In this paper, for the two cases of the multibeam bathymetry problem of equidistant parallel survey line area and rectangular area, the relationship between the angles and the basic properties of triangles are established. Based on the angular model plots of the sailing direction and the line direction on the two areas, the coverage width and coverage of the line strips are analyzed for different values of the variables such as the distance of the line from the center point and the depth of the sea water. then regression model predictions are constructed for the model and thermograms are visualized for the data of coverage width. It is proved that the most influential factor in the multibeam bathymetry problem is the distance from the center point, and the coverage width is relatively larger when the angle of the line is as small as possible and the distance from the center point is farther.

关键词： Surveys learning systems Strips Area measurement Sea measurements data visualization Predictive models

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Defect Detection of Composite Materials Using Channel Attention and Convolutional Autoencoder

Defect Detection of Composite Materials Using Channel Attent...

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data driven control and learning systems (ddcls)

作者： Jiahao Jiang Zhili Jiang Fumin Wang Yuan Yao Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou Department of Chemical Engineering National Tsing Hua University Hsinchu Taiwan

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

As an effective non-destructive technology, infrared thermography is often used to detect inner defects in composites. However, non-homogeneous background in the thermal images reduces image quality inevitably. A squeeze and excitation convolutional autoencoder thermography (SE-CAT) technique is introduced for detecting underlying defects. Specifically, the channel attention mechanism assigns weights to different convolutional channels to highlight certain prominent features. As a result, the defect information can be extracted in a targeted manner using the convolutional autoencoder module. Finally, an experiment of carbon fiber reinforced composite materials shows good defect detection performance of the proposed SE-CAT method.

关键词： learning systems Image quality Composite materials Noise reduction Process control Infrared imaging Polymers

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Event-Triggered Sampled-data Iterative learning control for Nonlinear Switched Multi-Agent systems

Event-Triggered Sampled-Data Iterative Learning Control for ...

引用

data driven control and learning systems (ddcls)

作者： Xin Ma Xisheng Dai Guoyong Wang School of Automation Guangxi University of Science and Technology Liuzhou P. R. China Liuzhou High School Liuzhou P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this paper investigates a class of consensus tracking problems in switched multi-agent systems(SMASs). For a virtual leader of switched multi-agent systems, preset an expected virtual leader tracking trajectory. Firstly, this paper designs a class of output tracking information that includes adjacent agents and sampled-data iterative learning control. then, this paper designs a sampling-based event-triggered iterative learning control(ETILC) law to control the tracking behavior of agents. Reuse a Lyapunov-like method to determine the event-triggered conditions for system stability. Finally, for nonlinear switched multi-agent systems in various switching subsystems, the convergence conditions of systems can be discussed based on triggering and untriggering in different subsystems, using the Bellman-Gronwall inequality and compression mapping method. Verify the effectiveness and feasibility of the proposed algorithm through an instance of multi-agent systems that includes four switching modes.

关键词： learning systems Switches control systems Stability analysis Trajectory Multi-agent systems Iterative learning control

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Practice and Challenges of a Personalized Education Resource Push System driven by Big data in Higher Education

Practice and Challenges of a Personalized Education Resource...

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2024 International conference on Interactive Intelligent systems and Techniques, IIST 2024

作者： Quan, Xiaoyan Shandong Institute of Commerce and Technology Jinan Shandong250103 China

ISBN: (纸本)9798350374421

With the deep integration of big data and educational informatization, educational big data has gradually gained high support and recognition among educational institutions and users due to its advantages of low resource sharing difficulty, efficient centralized management, wide regional coverage, and massive practical educational resources. However, in the era of informatization, learning resources are growing exponentially, and learners face difficulties in selectivity and confusion when accessing resources. Traditional display feedback methods are no longer sufficient to meet their needs. To address this challenge, this article proposes a personalized education resource push system driven by big data. this system utilizes deep learning (DL) technology to deeply mine user needs and achieve personalized resource recommendations for learners. the experimental results indicate that the system can effectively improve the accuracy and efficiency of learners in accessing resources, providing strong support for personalized learning in higher education. the application of this system helps to enhance the learning experience and effectiveness of learners, and promotes the personalized and intelligent development of higher education. © 2024 ieee.

关键词： Federated learning

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