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检索条件"任意字段=10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021"

共 359 条记录，以下是251-260 订阅

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MFALC control of Aquaculture Vessel Based on Improved ILOS Guidance Law 13

MFALC Control of Aquaculture Vessel Based on Improved ILOS G...

引用

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

作者： Chen, Xianghao Yao, Wenlong Chi, Ronghu Cui, Zhigang College of Automation and Electronic Engineering Qingdao University of Science and Technology Qingdao266100 China

ISBN: (纸本)9798350361674

To mitigate the impact of lateral deviation in the trajectory control of aquaculture vessels, an improve ILOS guidance law is proposed. Addressing complex sea conditions, unstable weather scenarios, and uncertainties in load, a model-free adaptive learning control (MFALC) method for aquaculture vessel heading control is introduced. Firstly, by incorporating the actual vessel position, desired trajectory, and the improved ILOS guidance law, the desired heading is obtained, and a dynamic linearization model is established solely based on input-output data. Secondly, a Pseudo-Partial Derivative (PPD) estimation algorithm is presented. Subsequently, the MFALC control is designed in conjunction with the PPD algorithm. Finally, the superiority of the proposed control method over traditional PID control is validated through simulations. Simulation results demonstrate that the proposed control method enables rapid and stable trajectory control for aquaculture vessels. © 2024 ieee.

关键词： Aquaculture

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Robust Stability and Stabilization of Switched Parametric Uncertain Linear systems with Infinite Subsystems 13

Robust Stability and Stabilization of Switched Parametric Un...

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

作者： Zhang, Jing Liang, Kaili Zhu, Liying Jinan250353 China

ISBN: (纸本)9798350361674

this paper investigates the robust stability issues of switched parametric uncertain linear systems with infinite subsystems and their constrained dwell times. Firstly, a switching Lyapunov function is obtained by solving a family of differential Lyapunov equations and algebraic Lyapunov equations. Secondly, based on the obtained switching Lyapunov function, this paper proposes some sufficient conditions for robust globally asymptotic stability of such kind of switched systems. thirdly, by means of the proposed robust stability results, robust globally asymptotically stabilized state feedback controllers are designed for switched parameter uncertain linear systems with infinite subsystems. Finally, an illustrative example and its numerical simulations demonstrate the effectiveness of the new results given in this paper. © 2024 ieee.

关键词： State feedback

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Observer Design for Two-Dimensional Switched Discrete-Time Linear systems with Multiple Equilibrium Points 13

Observer Design for Two-Dimensional Switched Discrete-Time L...

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

作者： Liang, Kaili Zhang, Jing Zhu, Liying School of Information and Automation Qilu University of Technology Shandong Academy of Sciences Jinan250353 China

ISBN: (纸本)9798350361674

this paper investigates the observer design problem for two-dimensional switched discrete-time linear systems with multiple equilibrium points. Firstly, a distributed state observer is constructed by considering that all subsystems are observable. then, a sufficient condition for the existence of a state observer is given by analyzing the nature of the solution of the error switching system via an iterative method. the results obtained indicate that the constructed state observer can quickly follow the state of the original system over time. In the end, the validity and correctness of the designed state observer are proved by numerical simulation examples. © 2024 ieee.

关键词： State estimation

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Bipartite Consensus Problems of Heterogeneous Multi-Agent systems with Cooperative and Antagonistic Interactions 13

Bipartite Consensus Problems of Heterogeneous Multi-Agent Sy...

引用

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

作者： Zhang, Yi Li, Jinchao Du, Mingjun Pang, Shaopeng Ji, Peng Shandong Province Jinan250353 China

ISBN: (纸本)9798350361674

this article explores the distributed control issue within a heterogeneous signed multi-agent system, comprising both first-order and second-order integrator agents. It devises consensus protocols for an undirected communication topology within structurally balanced networks. through the application of graph theory and Lyapunov methods, it establishes the necessary conditions for achieving consensus in networks characterized by both cooperative and competitive interactions. the theoretical results are corroborated by simulation experiments. © 2024 ieee.

关键词： bipartite consensus heterogeneous signed multi-agent system Structural balance

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data-driven Multi-Objective Optimization of Power Consumption and Quality for Finishing Rolling Process 13

Data-Driven Multi-Objective Optimization of Power Consumptio...

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

作者： Chen, Xiaolu Yang, Ying College of Engineering Peking University State Key Laboratory for Turbulence & Complex Systems Department of Mechanics and Engineering Science Beijing100871 China

ISBN: (纸本)9798350361674

this paper investigates the operational optimization in the context of the steel hot rolling production and finishing facilities. Optimizing the operational variables of the finishing rolling process can improve the rolling quality and reduce the unit power consumption. However, there are too many operational variables in the process and their interactions are strongly coupled, making it difficult to develop an effective model for in-depth study. therefore, this paper adopts a data-driven approach, using neural network algorithms to construct the data prediction models between performance and set values respectively. Multi-objective optimization of the set values is performed by combining the actual mechanism and equipment constraints. In the obtained Pareto optimal solutions, the conflicting choices are further balanced among multiple objectives to obtain the most suitable operating parameters. Experimentally verified using production line production data, the method proposed in this paper significantly improves the performance indexes. © 2024 ieee.

关键词： Multiobjective optimization

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Parameter Inversion of High-Dimensional Chaotic systems Using Neural Ordinary Differential Equations 13

Parameter Inversion of High-Dimensional Chaotic Systems Usin...

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

作者： Bian, Hanlin Zhu, Wei Chen, Zhang Jingsui, L. Pei, Chao Key Laboratory of Intelligent Analysis and Decision on Complex Systems Chongqing University of Posts and Telecommunications Chongqing400065 China School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China

ISBN: (纸本)9798350361674

High-dimensional chaotic systems possess complex structural characteristics, which have potential research value in fields like encrypted communication and chaos control. the inverse problem of parameters in high-dimensional chaotic systems is of significant importance for a profound understanding of the dynamic properties of such systems. this article takes a departure from neural ordinary differential equations and embeds the structural dynamics of the dynamical systems to the parameter inversion of high-dimensional chaotic systems. Numerical experiments on different high-dimensional chaotic systems indicate that neural ordinary differential equations perform exceptionally well in solving these inversion problems, with low errors and strong robustness. © 2024 ieee.

关键词： Inverse problems

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An Automatic Train Operation Strategy Based on Prescribed Performance control 11

An Automatic Train Operation Strategy Based on Prescribed Pe...

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11th ieee data driven control and learning systems conference, ddcls 2022

作者： Li, Zikang Wu, Yanzhi Huang, Deqing Cai, Hanlin School of Electrical Engineering Southwest Jiaotong University Chengdu610031 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

With the fast development of 5G communications, big data and intelligent control technologies, automatic train operation (ATO) is expected to supersede traditional manual driving for high-speed railway systems. To study the precise automatic control algorithm for high-speed trains (HST), a novel prescribed performance tracking control method based on the barrier Lyapunov function (BLF) is proposed in this paper. First, the dynamic model of HST with basic and additional resistances is established considering actual operating condition and actuator saturation phenomenon. Second, an auxiliary system is constructed to eliminate the negative effect caused by input saturation, and a prescribed performance tracking controller with adaptive law is designed for ATO system. Finally, the stability of the close-loop system and the boundedness of the tracking error signals are proved based on Lyapunov stability theorem. Simulation results demonstrate the effectiveness of the proposed controller. © 2022 ieee.

关键词： Lyapunov functions

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An Optimal Sliding Mode controller Against False data Injection Attacks 11

An Optimal Sliding Mode Controller Against False Data Inject...

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11th ieee data driven control and learning systems conference, ddcls 2022

作者： Wu, Chengwei Dong, Bo Han, Shuo Yao, Weiran Harbin Institute of Technology Harbin150001 China Second Academy of CASIC Department X-Lab Institution Beijing China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

this paper investigates the optimal discrete sliding mode control problem of cyber-physical systems, actuators of which are intercepted by false data injection attacks. Although false data injection attacks can be regarded as matched input uncertainties, some existing sliding mode control schemes cannot be directly applied since attacks may not satisfy some properties of uncertainties, for example, the smoothness condition. In the design process, the linear quadratic optimal control is combined to design an optimal sliding mode surface, based on which an optimal discrete-time sliding mode controller is derived by using a modified Gao's reaching law. To implement such a control scheme, an estimator is introduced to estimate false data injection attacks. Finally, a numerical example is given to validate the effectiveness of the proposed secure controller. © 2022 ieee.

关键词： Cyber Physical System

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A Novel YOLOv5-based Anomalous Object Detection Algorithm in Buses 11

A Novel YOLOv5-based Anomalous Object Detection Algorithm in...

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11th ieee data driven control and learning systems conference, ddcls 2022

作者： Liu, Shida Li, Qingyi Ji, Honghai Wang, Li Zhang, Xiaoping He, Zhonghe School of Electrical and Control Engineering North China University of Technology Beijing100000 China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

In this work, a novel abnormal objects analyzing and detecting (AOAD) algorithm inside the bus is proposed, and the AOAD algorithm is further applied to the practical bus by designing an embedded video analysis system. the proposed algorithm is based on the deep learning YOLOv5 (You Only Look Once) algorithm, which has better timeliness and accuracy in detecting anomalous objects. the anomalous objects with larger boxes are detected by building an anomalous object dataset for training. the effectiveness and applicability of the proposed algorithm is verified by extensive experiments on video data based on real buses. © 2022 ieee.

关键词： Buses

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Model-Free Adaptive Sliding Mode control for Discrete-Time Nonlinear systems With Sensor Fault and Prescribed Performance 11

Model-Free Adaptive Sliding Mode Control for Discrete-Time N...

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11th ieee data driven control and learning systems conference, ddcls 2022

作者： Hao, Li-Ying Yang, Sen Liu, Dong College of Marine Electrical Engineering Dalian Maritime University Dalian China School of Automation Shenyang Aerospace Universtiy Shenyang China

ISBN: (数字)9781665496759

ISBN: (纸本)9781665496759

this paper concentrates on the issue of a model-free adaptive sliding mode control approach for a family of discrete-time single-input and single-output (SISO) nonlinear systems with sensor fault and prescribed performance. First of all, we set out to build an approximator that is based on radial basis function neural network to estimate the sensor fault offline, and for the purpose of restricting the tracking error in a prescribed region when the sensor fault occurs, the prescribed performance control (PPC) method is adopted. then, we consider sliding mode control strategy to achieve the stability and ensure the convergence of tracking error within PPC scheme. We have to point out that all of these works above are carried in model-free adaptive control (MFAC) framework. Finally, a simulation example result is given to validate the effectiveness of the algorithm proposed in this article. © 2022 ieee.

关键词： Sliding mode control

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