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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61-70 订阅

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A Novel data-driven control Method for a Class Magnetic Levitation systems with Time Delay and Noise Interference 13

A Novel Data-Driven Control Method for a Class Magnetic Levi...

引用

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

作者： Li, Zhen Jin, Shangtai Yin, Chenkun Institute of Advanced Control Systems Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798350361674

In response to the challenges posed by nonlinear large time delays and external noise interference in the control process of magnetic levitation systems, this paper proposes a model-free adaptive control algorithm based on time delay compensation and filtering (DCF-MFAC) to attain magnetic levitation systems control. Firstly, an adaptive control algorithm is designed by introducing a dynamic linearization technique with time-varying parameters based on pseudo-gradient (PG), which linearizes the unknown nonlinear system and facilitates controller design. Subsequently, the algorithm utilizes Smith predictor and second-order integrator-based estimation to estimate the output differentials of the controlled object, compensating for system time delays. Additionally, the algorithm introduces a filter to attenuate or suppress noise in the system, ensuring smoother control signals. the effectiveness of the algorithm in magnetic levitation system control is verified through joint simulation using HUMUSOFT real-time toolbox and Matlab. © 2024 ieee.

关键词： Magnetic levitation

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Finite-Time Annular Domain Stability Analysis of Switched Positive Linear systems 13

Finite-Time Annular Domain Stability Analysis of Switched Po...

引用

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

作者： Yan, Zhiguo Tang, Zhenyu Zhu, Baolong Jinan250353 China

ISBN: (纸本)9798350361674

this article investigates the issue of finite-time annular domain stability (FTADS) of switched positive linear systems (SPLSs), particularly focusing on the incorporation of the concept of average dwell time (ADT). By using the multiple linear copositive Lyapunov function (MLCLF), a sufficient condition for FTADS of SPLSs is derived. the derived condition is formulated as a linear programming problem, facilitating numerical verification. the proposed result is substantiated through two numerical examples. © 2024 ieee.

关键词： Lyapunov functions

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Dynamic Encoding-Decoding-Based Quantized Iterative learning control 13

Dynamic Encoding-Decoding-Based Quantized Iterative Learning...

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

作者： Huo, Niu Shen, Dong School of Mathematics Renmin University of China Beijing100872 China

ISBN: (纸本)9798350361674

the tracking performance of linear discrete-time systems under quantized iterative learning control is investigated in this paper. An encoding-decoding mechanism is utilized to process the output of the system that is transmitted over the network channel. the encoding method includes the quantization procedure, which employs a uniform quantizer with finite quantization levels. the scaling parameters in the encoder and decoder are formulated to dynamically adjust based on the input of the quantizer. the learning control scheme is designed based on the output generated by the decoder. the results demonstrate that the system attains error-free tracking performance. the theoretical findings of this research are confirmed by a numerical simulation. © 2024 ieee.

关键词： Encoding (symbols)

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data-driven Design of Fault Detection Approach for Dynamic systems Based on Subspace Identification Method 13

Data-Driven Design of Fault Detection Approach for Dynamic S...

引用

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

作者： Yating, Lyu Jingjing, Gao Xu, Yang Jian, Huang Jiarui, Cui School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education Beijing100083 China

ISBN: (纸本)9798350361674

In the context of continuous advancements in modern industry and the escalating demands for the safety and reliability of control systems, timely fault diagnosis of control systems becomes paramount. driven by this imperative, this article devotes to data-driven design of fault detection systems based on subspace identification method. For this purpose, a fault detection approach based on Subspace State Space System Identification and model-based full-dimensional observer design is firstly designed. It is followed by a data-driven fault detection approach based on one-step identification of stable kernel representation and direct design of the residual generator. Finally, the effectiveness and performance of the two proposed approaches have been verified through a case study on the laboratory threetank system. © 2024 ieee.

关键词： State space methods

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data-driven Stochastic control of Atomic Number Density in Spin-Exchange Relaxation-Free Co-Magnetometers 13

Data-Driven Stochastic Control of Atomic Number Density in S...

引用

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

作者： Qin, Bodong Wang, Zhuo Fan, Wenfeng Li, Feng Liu, Zehua Li, Jiahang School of Instrumentation and Optoelectronic Engineering Beihang University Beiing100191 China Beihang University Institute of Large-scale Scientific Facility and Centre for Zero Magnetic Field Science Beiing100191 China

ISBN: (纸本)9798350361674

this paper presents an innovative application of stochastic control methodologies for optimizing the performance of spin-exchange relaxation-free co-magnetometers under conditions of internal heat source instability-induced atomic number density fluctuations. A data-driven modeling framework is adopted to develop an ARMAX model for the non-magnetoelectric heating system, followed by the implementation of a minimum variance control strategy to stabilize atomic number density within the gas cell. Comparative analysis against open-loop and ADRC approaches, based on simulation and experimental results, reveals a substantial reduction in atomic number density variance, showcasing superior control efficacy. this study emphasizes the integration of stochastic control techniques into advanced instrumentation, thereby offering avenues for enhancing the operational capabilities of thermal atomic instruments. © 2024 ieee.

关键词： Stochastic systems

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Switching System-Based Event-Triggered Sampled-data control for Multi-Area Power systems under DoS Attacks: A data-driven Method 13

Switching System-Based Event-Triggered Sampled-Data Control ...

引用

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

作者： Hou, Rui Jia, Li Li, Jianfang Zhu, Bo School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China

ISBN: (纸本)9798350361674

the reliance of modern power systems on open communication networks for load frequency control (LFC) increases vulnerability to cyber-attacks, particularly denial-of-service (DoS) attacks. this study explores a novel switching system-based resilient event-triggered sampled-data control for LFC using a data-driven method. Firstly, a linear data-dependent model for power systems is presented addressing unknown nonlinearities, treating sampling period as a vital design parameter. Further, the LFC system is modeled as multiple switching subsystems under DoS attacks, and then a new adaptive sampled-data controller is proposed to accomplish frequency regulation while withstanding the attacks. Additionally, an event-triggered scheduling mechanism (ETSM) is considered to optimize bandwidth resources for data transmission during sampling. To assess the proposed LFC scheme, a new stability criterion and analysis method, employing the average dwell time (ADT) technique and Lyapunov stability theory, is introduced. Finally, the scheme's effectiveness is demonstrated through evaluation on a three-area power system. © 2024 ieee.

关键词： Stability criteria

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Model-Free Adaptive Cloud Elastic control for Small Nonlinear Agent systems 13

Model-Free Adaptive Cloud Elastic Control for Small Nonlinea...

引用

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

作者： Zhu, Lin Yang, Dongsheng Che, Weiwei College of Information Science and Engineering Northeastern University Liaoning Shenyang110819 China School of Automation Qingdao University Qingdao Shandong266071 China

ISBN: (纸本)9798350361674

In this paper, for unknown small nonlinear multi-agent(SNMA) systems without large computing capabilities, cloud computing technology is used to calculate control commands and achieve multi-agent consensus control. At the same time, considering the security problem of the network channel between the cloud and the agent, a model-free adaptive cloud elastic control(MFACEC) strategy was proposed. Under the MFACEC control strategy, each agent whose model is unknown is able to complete consensus tracking. Finally, simulation results show the effectiveness of the algorithm. © 2024 ieee.

关键词： Cloud platforms

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Optimal control of Discrete-Time Stochastic systems with Wiener and Poisson Noises: A Model-Free Reinforcement learning Approach 13

Optimal Control of Discrete-Time Stochastic Systems with Wie...

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

作者： Yan, Zhiguo Sun, Tingkun Hu, Guolin School of Information and Automation Qilu University of Technology Shandong Academy of Sciences Jinan250353 China School of Mathematics and Statistics Qilu University of Technology Shandong Academy of Sciences Jinan250353 China

ISBN: (纸本)9798350361674

this paper investigates the problem of optimal control of discrete stochastic Poisson systems. First, the discrete stochastic algebraic Riccati equation containing Poisson noises is proved, and a model-based iterative method is proposed to solve it. Second, by using the system reconstruction method, a model-free reinforcement learning algorithm is presented, which operates without necessitating system matrixs and relies solely on the state trajectory information to derive the optimal solution. third, it demonstrates that the incorporation of exploration noises does not impact the results of the algorithm. Finally, a numerical example is given to verify the effectiveness of the proposed algorithm. © 2024 ieee.

关键词： Riccati equations

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Sensor Fault Diagnosis Framework for Satellite Attitude control System Based on Machine learning 13

Sensor Fault Diagnosis Framework for Satellite Attitude Cont...

引用

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

作者： Lun, Xinyao Lian, Danxu Wang, Ning Wang, Zhenhua Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9798350361674

the operation conditions of the satellite are always complex and variable, making it difficult to automatically and effectively capture the useful state features from a large volume of data. the paper designs a sensor fault diagnosis framework for the satellite attitude control system based on machine learning. the proposed framework consists of detection and isolation modules. Specifically, the fault detection module consists of an auto-encoder to transform the state sequence into lower-dimensional feature space, which is followed by a support vector machine for fault detection. Furthermore, based on the fault detection information, an LSTM-1DCNN uses extracted features for fault isolation. All datasets are collected from the constructed hardware-in-the-loop platform, comprising a real-time digital satellite simulator, a monitoring system, and an embedded device. Various performance parameters are used to evaluate the proposed method. the results show the efficiency of the proposed framework over conventional methods. © 2024 ieee.

关键词： Satellite simulators

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Adaptive Prescribed Performance control for Nonlinear Multiagent systems with Disturbance 13

Adaptive Prescribed Performance Control for Nonlinear Multia...

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

作者： Chen, He Cao, Liang Pan, Yingnan College of Control Science and Engineering Bohai University Jinzhou121013 China College of Mathematical Sciences Bohai University Jinzhou121013 China

ISBN: (纸本)9798350361674

this paper is dedicated to studying the prescribed performance control (PPC) problem for nonlinear multiagent systems with saturation and unknown disturbance. A filter that integrates second-order sliding mode techniques is designed to reduce the computation burden. According to the approximation characteristic of neural networks (NNs), the disturbance observer is designed to compensate the unknown disturbance. With PPC technology, the tracking error converges to a certain range. Different from the existing results, this paper examines the saturation issue that exists in the first step of the virtual controller. NNs are utilized to approximate the unknown saturation function. Furthermore, by exploiting Lyapunov stability theory, all closed-loop system signals are ensured to be semiglobally uniformly ultimately bounded. Finally, the rationality of the presented strategy is confirmed by the numerical simulation. © 2024 ieee.

关键词： Adaptive control systems

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