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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441-450 订阅

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Real-Time Conflict-Free Path Planning for Multi-AGVs Based on Deep Reinforcement learning

Real-Time Conflict-Free Path Planning for Multi-AGVs Based o...

引用

data driven control and learning systems (ddcls)

作者： Guodong Yang Renxin Zhong Guangdong Provincial Key Laboratory of Intelligent Transportation System School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

Automated guided vehicles (AGVs) are crucial transportation equipment that connects quay cranes (QCs) with yard cranes (YCs) in automated container terminals (ACTs). Ensuring real-time path planning without conflicts is vital for improving the operational efficiency and safety of ACTs. this paper studies the conflict-free AGV routing problem in ACTs with uncertainties. To improve the efficiency and safety of the ACT operations, we propose a deep reinforcement learning (DRL) method based on invalid action masking and artificial potential fields. In this method, we mask out invalid actions to resolve conflicts between AGVs. the reward-shaping strategy is based on the artificial potential field to handle the slow iteration of DRL algorithms due to sparse rewards. Simulation experiments verify the effectiveness of the proposed method.

关键词： Training Cranes Uncertainty Transportation Deep reinforcement learning Routing Real-time systems

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Optimization of Integrated Energy System with Wind and Solar Uncertainties based on Copula Function

Optimization of Integrated Energy System with Wind and Solar...

引用

data driven control and learning systems (ddcls)

作者： Yonghui Chen Feng Li Yaxin Zhou School of Electrical and Information Engineering Jiangsu University of Technology Changzhou China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

the impact of uncertainty in wind and photovoltaic power generation on the economic efficiency of integrated energy systems. therefore, this article adopts Copula function as wind power, the photovoltaic joint probability distribution function is used to simulate the generation of a large number of wind and photovoltaic scenarios, and based on this, the k-means algorithm is used to cluster and reduce the uncertainty output values of each scenario. Consider a comprehensive energy system composed of gas turbines, electric boilers, fuel cells, and other equipment, and use Cplex optimization software to gain the optimal output and total working cost of every micro power source during the optimization cycle.

关键词： Wind energy generation Photovoltaic systems Uncertainty Costs Wind energy Fuel cells Wind power generation

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Escape with Self-adaptive Decision Radius based on Deep Deterministic Policy Gradient in Pursuit Games

Escape with Self-adaptive Decision Radius based on Deep Dete...

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data driven control and learning systems (ddcls)

作者： Xiaojie Zhou Chunxi Yang Wenbo Wang Pengqi Sun Faculty of Mechanical and Electrical Engineering Kunming University of Science and Technology Kunming China Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

the Pursuit-Evasion (PE) game of Unmanned Surface Vehicles (USVs) is a classic antagonistic problem for the intelligent agent system. To enhance the escaping success rate of evaders with better effort, this paper proposes an escape strategy based on the geometrical characteristics of Apollonius circles. An improved self-adaptive escaping strategy for the evader utilizing the deep deterministic policy gradient algorithm is proposed. then, the criteria for successful encirclement by pursuer are given. A DDPG algorithm-based framework is proposed on the basis of markov decision process formulation. Specifically, an action space based on adaptive decision radius of evader is designed. Our simulation shows the proposed method has more advantages in terms of escape distance and escape time.

关键词： learning systems Markov decision processes Games Aerospace electronics control systems Intelligent agents Autonomous vehicles

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SFS-PSO: An Improved data Preprocessing Approach in Fault Diagnosis under Variable Working Conditions

SFS-PSO: An Improved Data Preprocessing Approach in Fault Di...

引用

data driven control and learning systems (ddcls)

作者： Fanglue Zhang Rui Yang School of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China School of Electrical Engineering Electronics and Computer Science University of Liverpool Liverpool United Kingdom

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this paper presents an approach for bearing fault diagnosis that leverages sensitive feature selection to tackle the challenge of high intra-class distances and low inter-class distances in data pre-processing of conventional deep transfer learning methods under variable working conditions. Initially, bearing fault signals are transformed from time to frequency domain using the Fast Fourier Transform. then, these frequency-domain features are refined through a selection process optimized by particle swarm optimization, focusing on those with higher sensitivity weights to reduce intra-class distance and enhance inter-class distance. these selected features are input into domain adversarial neural networks for accurate bearing fault diagnosis under different conditions. Experimental results demonstrate the method's effectiveness and increased diagnostic accuracy.

关键词： Fault diagnosis learning systems Employee welfare Accuracy Sensitivity Frequency-domain analysis Transfer learning

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Coordinated MFAILC of Multiple High-Speed Trains Subject to False data Injection Attacks

Coordinated MFAILC of Multiple High-Speed Trains Subject to ...

引用

data driven control and learning systems (ddcls)

作者： Y. Wei M. Junjie Deqing Huang Key Laboratory of Railway Industry of Advanced Energy Traction and Comprehensive Energy Conservation School of Electrical Engineering Southwest Jiaotong University Chengdu P. R. China Tianfu Yongxing Laboratory Chengdu P. R. China Shaanxi Railway and Logistics Industry Group Co. Ltd. Shaanxi P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

this study presents a coordinated model free adaptive iterative learning controller (MFAILC) for multiple high-speed trains (MHSTs) subjected to random false data injection attacks (FDIA). Firstly, the nonlinear train system is converted as a linear one that solely relies on input and output (I/O) information of the trains. Subsequently, by establishing an attack model using random variables, the coordinated MFAILC is developed. Furthermore, the convergence analysis is conducted based on mathematical expectation, followed by numerical simulation to verify the validity of the control scheme.

关键词： learning systems Adaptation models Numerical simulation Stability analysis Mathematical models data models Random variables

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Dynamic Obstacle Avoidance Method for Unmanned Surface Vessel Based on Deep Reinforcement learning and Dynamic Window Approach

Dynamic Obstacle Avoidance Method for Unmanned Surface Vesse...

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data driven control and learning systems (ddcls)

作者： Lou Mengmeng Yang Xiaofei Guan Jun Hu Jiabao Wang Qi Wang Xu School of Automation Jiangsu University of Science and Technology Zhenjiang China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

the obstacle avoidance technology of Unmanned Surface Vessels (USV) is the key to ensuring their safe navigation. this article proposes a collision avoidance technology for USV based on Deep Deterministic Policy Gradient (DDPG) and Dynamic Window Approach (DWA), aiming to solve the obstacle avoidance problem of USV. Based on the idea of DWA, the action space of DDPG was designed. A new reward mechanism is proposed according to the trajectory evaluation function standards in the DWA algorithm, which solves the sparse reward problem of traditional DDPG and improves the convergence and obstacle avoidance effects of the algorithm. To demonstrate the effectiveness of the algorithm, a multi-ship collision avoidance experiment was designed. the results indicate that the proposed algorithm can achieve effective collision avoidance.

关键词： Navigation Heuristic algorithms Turning Trajectory Safety Collision avoidance Underactuated surface vessels

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Microgrid Economic Dispatch Problem Based on Distributed Algorithm in V2G Background

Microgrid Economic Dispatch Problem Based on Distributed Alg...

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data driven control and learning systems (ddcls)

作者： Lina Ren Shuai Li Zhihan Hu Key Lab of Industrial Computer Control of Hebei Province Yanshan University Qinhuangdao China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

With the emergence of increasingly complex modern energy networks, there is a need for flexible and reliable methods to solve economic dispatch problems in smart grids. For this purpose, a broadcast gossip algorithm is proposed for solving the economic dispatch problem in a smart grid environment populated with distributed generators and vehicle to grid. First, with the objective of minimizing the system cost, the cost model of each part of the microgrid is developed under various constraints. At the same time, considering the peak-to-valley difference in the process of electric energy dispatching, this paper proposes an electric vehicle incentive and compensation cost model to achieve the purpose of making the grid peak and valley reduction. then, an event triggering mechanism is introduced to save communication resources while economical scheduling. Finally, the proposed model and algorithm are simulated and analyzed by using the microgrid structure of ieee 11 - bus standard, and the effectiveness of the proposed model and algorithm are verified.

关键词： Photovoltaic systems Vehicle-to-grid Analytical models Costs Microgrids Wind power generation thermal loading

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A New Algorithm for Gap Metric Calculation Based on Frequency Response data

A New Algorithm for Gap Metric Calculation Based on Frequenc...

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data driven control and learning systems (ddcls)

作者： Motaz Musa Ibrahim Lei Ma Yiming Zhao Shaokun Cheng Southwest Jiaotong university Chengdu P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

the gap metric is a very essential tool for robust stability analysis of control systems and fault tolerant control. It is widely calculated as a model base. However, it is challenging to derive a precise mathematical model that accurately represents the real system. Consequently, the validity of the gap computation based on the model can not be guaranteed. therefore, development of different approaches for gap calculation becomes more serious. Motivated by the aforementioned problem, we introduce a new algorithm for gap computation based on frequency response data. the data will be recorded in the time domain and then converted to the frequency domain using the fast Fourier transform. the frequency response data easily can be represented in the Euclidean plane and hence the gap at each frequency can be calculated since the the gap is the angular measure distance between two systems. Subsequently, the algorithm is constructed using the geometric interpretation of the gap and some properties of normed vector spaces. A comparative study with a model base is provided to demonstrate the effectiveness of the proposed algorithm.

关键词： learning systems Robust stability Computational modeling Frequency-domain analysis Fault tolerant control Frequency response Stability analysis

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Adaptive Parameter Identification Based Sliding Mode control for Servo Mechanism Using Nonlinear Disturbance Observer

Adaptive Parameter Identification Based Sliding Mode Control...

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data driven control and learning systems (ddcls)

作者： Hailan Du Liang Tao Meiling Tao Binzi Xu Xiongfeng Deng College of Electrical Engineering Anhui Polytechnic University Wuhu China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In this paper, a friction compensation method is proposed based on adaptive parameter identification and nonlinear disturbance observer for servo mechanism system to achieve desired tracking performance. Firstly, the traditional nonlinear friction model is transformed into a continuously differentiable linear model. An adaptive parameter identifier is then designed using a state observer to facilitate finite-time estimation of friction parameters, thereby enhancing the overall performance of the control system. Subsequently, a nonlinear disturbance observer is utilized to enable real-time estimation and compensation of unknown disturbances in the system, as well as errors in parameter identification. Additionally, a sliding mode controller is developed to achieve robust tracking control. Finally, stability analysis is performed using Lyapunov stability theory, and the feasibility of the proposed method is validated through simulation.

关键词： Adaptation models Parameter estimation Adaptive systems Friction Estimation Disturbance observers Real-time systems

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Autonomous Vehicle Lane-Change control Based on Model Predictive control with control Barrier Function

Autonomous Vehicle Lane-Change Control Based on Model Predic...

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data driven control and learning systems (ddcls)

作者： Xiaoya Chen Xiangbin Liu Min Zhang School of Automation and Intelligence Beijing Jiaotong University Beijing P. R. China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

Vehicle lane change is one of the most common driving behaviors. It is of great significance to ensure that the autonomous vehicle can change lanes safely and accurately. therefore, in this paper, a model predictive control (MPC) strategy combined with control barrier function (CBF) is proposed for autonomous vehicle lane change in driving scenario. MPC method is utilized to design the baseline controller to minimize the tracking errors and control input variations during the lane change for energy saving and passenger driving comfort. the CBF constraint on the states of autonomous vehicle is adopted in controller design to avoid collision with other vehicles. the MPC-CBF controller guaranteeing safety and tracking performance of vehicle lane change is obtained by solving a designed quadratic programming. A numerical simulation is carried out on a vehicle lane change scenario to verify the effectiveness of the proposed controller.

关键词： Simulation Predictive models Prediction algorithms Numerical simulation Trajectory Safety Quadratic programming

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