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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121-130 订阅

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Dynamic Iterative learning control for Relative Trajectory Tracking with Nonrepetitive Leader Path 13

Dynamic Iterative Learning Control for Relative Trajectory T...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Wang, Yiming Wang, Guina Tao, Hongfeng Chen, Yiyang School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China Jiangnan University Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Wuxi214122 China

ISBN: (纸本)9798350361674

this paper proposes a collaborative iterative learning control scheme with optimal leader path planning strategy. Due to the demonds on repetitive tasks and static references under traditional ILC framework, it cannot fit the complex circumstances with multiple collaborative systems or satisfy certain control request on specific application. this paper introduces a dynamic norm-optimal iterative learning control (NOILC) framework based on an improved coordinate descent algorithm. Under the aforementioned framework, an optimal leader path can be found to fit certain performance requirements, i.e. energy reduction. Finally, the simulation results on a combined complex system verify the effectiveness of the proposed algorithm. © 2024 ieee.

关键词： Convex optimization

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Optimal Eavesdropping for Cyber-Physical systems via a Energy Switching Mechanism 13

Optimal Eavesdropping for Cyber-Physical Systems via a Energ...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Li, Yue Li, Jiajia Guo, Lijun College of Science University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9798350361674

this paper proposes optimal attack strategies for an energy-constrained eavesdropper in cyber-physical systems (CPSs). During data transmission from the sensor to the user terminal equipped with the detector, an eavesdropper may attempt to compromise the process by passively monitoring information or actively intercepting information and disrupting the channel. As the energy supply for eavesdropping device may be insufficient in some cases, the eavesdropper needs the use of energy switching to launch attacks in order to improve energy efficiency. therefore, the intention of this paper is to design the optimal eavesdropping attack strategy under energy constraints. Firstly, a threshold is utilized as the basis for eavesdropper energy switching. We then introduce a Lagrange multiplier to transform the constrained Markov decision process (MDP) into nonconstrained MDP. Finally, this paper presents the sufficient condition for the existence of stationary policies and deduces an optimal deterministic stationary strategy with a threshold structure. A numerical example is provided to illustrate this. © 2024 ieee.

关键词： Markov processes

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Multiple Uncertainty Rejection-Based Power Lifting Adaptive Fixed-Time Tracking control 13

Multiple Uncertainty Rejection-Based Power Lifting Adaptive ...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Liu, Yang Ren, Hongru Hui, Yu Li, Hongyi College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao266061 China School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control Guangdong University of Technology Guangzhou510006 China

ISBN: (纸本)9798350361674

this work investigates an adaptive fixed-time tracking control issue of nonlinear systems with the multiple uncertainty. A practically fixed-time lemma is established, and the singularity problem of fixed-time tracking control is handled by exploiting the power lifting technique. Moreover, a nonlinear fixed-time tracking scheme is proposed under the framework of the backstepping, and a simple design process is presented, which can simultaneously tackle uncertain parameters and disturbances. Finally, the numerical simulation is to explain the effectiveness of the proposed method. © 2024 ieee.

关键词： Backstepping

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Asynchronous l2-l∞ Filtering for Discrete-Time Singular Nonhomogeneous Markov Jump systems 13

Asynchronous l2-l∞ Filtering for Discrete-Time Singular Non...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Wu, Chenxin Hua, Mingang College of Artificial Intelligence and Automation Hohai University Changzhou213200 China

ISBN: (纸本)9798350361674

this study investigates the design of l2-l∞ filters for asynchronous discrete-time Singular nonhomogeneous Markov jump systems. Using a polytope set to characterize the time-varying transition probability. To describe the asynchronous phe-nomenon between system modes and filter modes, hidden Markov models are proposed. Based on the selected Lyapunov function, sufficient conditions are provided to ensure that the filtering error system is regular, causal and stochastically stable with a given l2-l∞ performance index. By solving the proposed conditions, an expected filter that satisfies prescribed l2-l∞ performance index can be constructed. In the end, the effectiveness and potential of this method were verified through two illustrative examples. © 2024 ieee.

关键词： Hidden Markov models

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A Norm Optimal Iterative learning control Approach with Efficient Computation 13

A Norm Optimal Iterative Learning Control Approach with Effi...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Gao, Luyuan Zhuang, Zhihe Tao, Hongfeng Chen, Yiyang Paszke, Wojciech Jiangnan University Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Wuxi214122 China School of Mechanical and Electrical Engineering Soochow University Suzhou215137 China Institute of Automation University of Zielona Gora Zielona Gora Poland

ISBN: (纸本)9798350361674

Iterative learning control (ILC) is excellently applied to output tracking for systems that perform repetitive tasks. Classical norm optimal ILC (NOILC) approach yields optimal control inputs by minimizing a quadratic cost function. However, this approach requires the introduction of supervectors, i.e., lifting technique, for system description, which raises a high computational load problem. the contribution of this paper is to propose a non-lifted NOILC (N-NOILC) approach by redesigning a cost function that does not involve the lifting technique, achieving the goal of efficient computation. therefore, the proposed approach is particularly suitable for large tracking tasks with long trial duration and high sampling frequency. Moreover, considering the model uncertainty in practice, robust convergence is analyzed. Numerical simulations are shown to demonstrate the properties and advantages of the proposed approach. © 2024 ieee.

关键词： Adversarial machine learning

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Remaining Useful Life Prediction of Lithium-Ion Battery Based on AUKF and CNN-BiLSTM 13

Remaining Useful Life Prediction of Lithium-Ion Battery Base...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Zhuang, Zhen Li, Yan Yang, Tong School of Control Science and Engineering Shandong University Jinan250061 China

ISBN: (纸本)9798350361674

With the increasing prevalence of lithium-ion batteries, the accurate prediction of remaining useful life (RUL) has emerged as a critical concern. However, the model-based approach exhibits stable estimation but lacks of accuracy. Conversely, the data-driven method achieves high prediction accuracy at the expense of stability. To address this contradiction, this study proposes a practical approach that integrates the adaptive unscented Kalman filter (AUKF) with a parallel structure of convolutional neural network-bidirectional long short-term memory neural network (CNN-BiLSTM). the AUKF corrects the inaccurate results obtained by CNN-BiLSTM, while the CNN-BiLSTM corrects the unstable outcomes produced by AUKF. this combined framework leads to improved prediction results in terms of both accuracy and stability. In order to authenticate the efficacy of the proposed method, experimental analysis by employing NASA battery data sets is conducted, and the results unequivocally substantiate its enhanced predictive capabilities comparing with a number of conventional RUL estimation ways. © 2024 ieee.

关键词： Kalman filters

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A Bidirectional Attention-Based LSTM Model for Multi-Step Ahead Prediction in Dynamic Soft Sensors 13

A Bidirectional Attention-Based LSTM Model for Multi-Step Ah...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Huang, Yi Wang, Longyan Ye, Lingjian Yang, Zeyu School of Engineering Huzhou University Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems Huzhou313000 China

ISBN: (纸本)9798350361674

In the field of dynamic soft sensor developments, multi-step ahead prediction of key quality variables is becoming increasingly important, which can provide a long-term data changing trends in the future time period. However, multi-step ahead prediction is currently facing various issues such as data uncertainty and unstable forecasts. In order to improve these issues, this paper proposes a bidirectional spatiotemporal attention-based LSTM network model (Bi-STA-LSTM), in which spatiotemporal attention extracts the relevant features from historical time series, and the bidirectional structure captures more historical and future trends. It can continue to provide useful information when the prediction step increases. By comparing different methods on the debutanizer dataset, the superiority of the Bi-STA-LSTM is verified. © 2024 ieee.

关键词： Prediction models

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Fault Diagnosis and Location Research for Distributed control System of Offshore Wind Turbines 13

Fault Diagnosis and Location Research for Distributed Contro...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Wang, Shaoping Wang, Ronghao Duan, Zhaoxia College of Electrical and Power Engineering Hohai University Nanjing211100 China College of Defense Engineering Army Engineering University of Pla 210007 China College of Artificial Intelligence and Automation Hohai University Nanjing211100 China

ISBN: (纸本)9798350361674

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. © 2024 ieee.

关键词： Offshore wind turbines

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Localization Strategy Based on Escape Sign in Low Feature Information Indoor Environment 13

Localization Strategy Based on Escape Sign in Low Feature In...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Mao, Yuefeng Zhang, Jianming Li, Jituo Zhejiang University Academy of Engineering Hangzhou China College of Control Science and Engineering Zhejiang University Hangzhou China School of Mechanical Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9798350361674

Aiming at the localization problem of robots in indoor environment with less characteristic information (such as long corridors and foyers), a localization system based on natural vision labels is designed to achieve high precision real-time positioning. this method innovatively selects escape markers as positioning tags, improves the existing feature matching algorithm and propose a feature point filtrate algorithm to solve the problem of similar feature interference. Based on the recognition and matching of few visual labels, combined with the EKF algorithm, the real-time positioning of the robot can be realized Experimental tests are carried out under various environmental conditions, the error level is analyzed, and the effectiveness of the positioning system is proved. © 2024 ieee.

关键词： Indoor positioning systems

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Lane Keeping Method based on MIMO Model-Free Adaptive control 13

Lane Keeping Method based on MIMO Model-Free Adaptive Contro...

引用

13th ieee data driven control and learning systems conference, ddcls 2024

作者： Zhai, Weifeng Zhang, Zichao Sun, Dehui Academy of Electrical and Control Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9798350361674

In order to prevent drivers from lane deviation due to distraction or incorrect operation and reduce the probability of traffic accidents, so the research on lane keeping is of great significance. In this paper, a lane keeping method based on MIMO model-free adaptive control is proposed. Traditional lane keeping control methods all need to establish the mathematical model of the controlled vehicle, however, the establishment of the mathematical model of the controlled vehicle needs to take into account a number of factors and physical principles, such as vehicle dynamics, environmental factors, etc., which ultimately results in the lack of precision in the establishment of the model. the lane keeping control method proposed in this paper has the following characteristics: the design of the controller does not need the mechanistic model of the controlled vehicle, and only the input and output data generated by the controlled vehicle is needed to design the controller, which can realize the control of the controlled vehicle, and the control system is easy to design, with a small amount of computation, and easy to be realized in the field. Finally, it is concluded through experiments that the proposed method has better lane keeping control effect compared with PID control algorithm. © 2024 ieee.

关键词： Adaptive control systems

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