检索结果-内蒙古大学图书馆

A Novel Adaptive Forgetting Factor Recursive Least Squares-Extended Kalman Filter Algorithm for Energy State Estimation of Decommissioned Power Lithium-ion Batteries 3

A Novel Adaptive Forgetting Factor Recursive Least Squares-E...

引用

3rd New Energy and Energy Storage System Control Summit Forum, NEESSC 2023

作者： Liu, Donglei Wang, Shunli Wang, Yangtao Fan, Yongcun Liang, Yawen Wu, Fan School of Information Engineering Southwest University of Science and Technology Mianyang621010 China College of Electrical Engineering Sichuan University Chengdu610065 China School of Automation Chengdu University of Information Technology Chengdu610225 China

ISBN: (纸本)9798350309348

Aiming at the difficult problem of online estimation of the state of energy (SOE) for decommissioned power lithium-ion batteries, an estimation method based on an adaptive forgetting factor recursive least squares-extended Kalman filter (AFFRLS-EKF) algorithm is proposed. The AFFRLS-EKF algorithm uses fuzzy logic to add a forgetting factor based on the traditional recursive least squares algorithm so that the online parameter identification can reflect the model parameters in a more real-time manner. A second-order RC equivalent circuit model is constructed based on the dynamic characteristics of decommissioned power lithium-ion batteries, which can more accurately represent the electrochemical characteristics of the batteries. The proposed algorithms MAE, MAPE, RMSE, and ME are improved by 1.15%, 3.698%, 1.027%, and 1.64% respectively. The estimation accuracy and robustness of the algorithm are verified. ©2023 IEEE.

关键词： Fuzzy logic

来源：评论

学校读者我要写书评

暂无评论

Practical prescribed-time fuzzy tracking control for uncertain nonlinear systems with time-varying actuators faults

引用

Journal of automation and Intelligence 2024年第1期3卷 40-49页

作者： Shuxing Xuan Hongjing Liang Tingwen Huang College of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Science Program Texas A&M UniversityDoha 23874Qatar

The paper investigates the practical prescribed-time fuzzy tracking control problem for a category of nonlinear system subject to time-varying actuator *** presence of unknown nonlinear dynamics and actuator faults makes achieving tracking control within a prescribed-time *** tackle this issue,we propose a novel practical prescribed-time fuzzy tracking control strategy,which is independent of the initial state of the system and does not rely on precise modeling of the system and *** apply the approximation capabilities of fuzzy logic systems to handle the unknown nonlinear functions and unidentified actuator faults in the *** piecewise controller and adaptive law constructed based on piecewise prescribed time-varying function and backstepping technique method establish the theoretical framework of practical prescribed-time tracking control,and extend the range of prescribed-time tracking control to *** of the initial conditions,the proposed control strategy can guarantee that all signals remain uniformly bounded within the practical prescribed time in the presence of unknown nonlinear item and time-varying actuator *** example is presented to demonstrate the effectiveness of the proposed control strategy.

关键词： Prescribed-time tracking control Adaptive fuzzy control Actuator faults Uncertain nonlinear system

来源：评论

学校读者我要写书评

暂无评论

Applicability of denoising-based artificial intelligence to forecast the environmental externalities

引用

Geoscience Frontiers 2024年第3期15卷 469-483页

作者： Dongsheng Cai Ghazala Aziz Suleman Sarwar Majid Ibrahim Alsaggaf Avik Sinha The College of Nuclear Technology and Automation Engineering Chengdu University of TechnologySichuan Province 610059China Department of Business Administration College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia Department of Finance and Economics College of BusinessUniversity of JeddahJeddahSaudi Arabia Management Development Institute Gurgaon India

The current study attempts to compare the hybrid artificial intelligence models to forecast the environmental externalities in Saudi *** have used the denoising based artificial intelligence models to construct hybrid *** comparing the denoising techniques,the CSD-based denoising has ***,we have used the CSD-based hybrid ***-ANN and CSD-RNN are used for denoising-based artificial intelligence models,whereas CSD-ARIMA is used for denoising-based traditional *** these models are used to check and compare their performance in terms of level and direction of prediction for PM_(10).The results show that the CSD-based ANN model has a higher predictability for PM_(10) levels in Saudi Arabia due to low error values and higher Dstat *** comparing original and forecasted data,the superiority of CSD-ANN is evident in predicting the PM_(10) in Saudi ***,this hybrid model can predict the environmental externalities for non-linear and highly noised ***,the findings can be useful in achieving the sustainable development goal.

关键词： Hybrid artificial intelligence Forecasting Saudi Arabia Environment PM_(10)

来源：评论

学校读者我要写书评

暂无评论

Distributed Energy Management for Ship-Integrated Energy System Considering Economic and Environmental Benefits 14

Distributed Energy Management for Ship-Integrated Energy Sys...

引用

14th International Conference on Information Science and technology, ICIST 2024

作者： Zhang, Yuxin Shan, Qihe Liu, Haoran Li, Tieshan Navigation College Dalian Maritime University Dalian China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350353334

To decrease the dependency of fuel-based resources in the shipping industry, the energy management problem is analyzed in this paper. Firstly, the development of shipboard energy system is reviewed from radiation pattern, ring pattern, two-end pattern to the ship-integrated energy system. Moreover, for ensuring the secure sailing, a multi-objective energy management model is established with the consideration of economic and environmental benefits. Meanwhile, the requirements of supply-demand balance, velocity, voltage security and so on are considered as well in the energy management. Then, a distributed energy management strategy based on ADMM algorithm is proposed. Finally, simulation results of a 5-node test system proves the effectiveness of the constructed energy management model and the distributed algorithm. © 2024 IEEE.

关键词： Energy development

来源：评论

学校读者我要写书评

暂无评论

Dynamic Event-Triggered Distributed MPC for UAV-UGV Systems Against DoS Attacks on Communication Channels

Dynamic Event-Triggered Distributed MPC for UAV-UGV Systems ...

引用

2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Tang, Hui Chen, Yong School of Automation Engineering University of Electronic Science and Technology of China Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety Sichuan Chengdu611731 China

ISBN: (纸本)9781665410205

In this study, we address the secure model predictive control (MPC) problem for a system comprising unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Our objective is to cooperatively regulate the UAV -UGV system to maintain all states at equilibrium in spite of physical constraints, external disturbances, and Denial of Service (DoS) attacks on communication channels. We propose a dynamic event-triggered distributed MPC (DET-DMPC) approach. Initially, a robustness constraint is integrated into the MPC to incrementally confine system states within a progressively narrowing tube, thereby bolstering disturbance resilience. Additionally, we introduce a neighbor output sequence prediction mechanism (NOSPM) to mitigate packet loss due to DoS attacks. In response to the varying durations of DoS attacks, we have developed a DET mechanism equipped with adaptive triggering thresholds. Moreover, we have formulated sufficient conditions that ensure the recursive feasibility of the DMPC algorithm and the stability of the UAV-UGV system. Comparative tests demonstrate the proposed DET-DMPC's superiority in robustness and security. © 2024 IEEE.

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

Collision-Free Formation Finite-Time Prescribed Performance Control for Under-Actuated Unmanned Surface Vehicles 6

Collision-Free Formation Finite-Time Prescribed Performance ...

引用

6th International Conference on Electronic engineering and Informatics, EEI 2024

作者： Wang, Wei Wang, Yang Li, Tieshan Navigation College Dalian Maritime University Dalian China College of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350353594

This paper studies the distributed path-following time-varying formation control problem for a fleet of under-actuated unmanned surface vehicles (USVs) with collision avoidance and connectivity preservation. A finite-time-prescribed performance-based (FTPP) formation control scheme is proposed based on the error transformation. To provide transient and steady-state performance specifications on velocity errors, including convergence time and range, a finite-time performance function (FTPF) is introduced in the control design. Radial basis function neural network (RBF) is utilized to compensate the effects of uncertain dynamics in USVs. Finally, by Lyapunov stability analysis, it is shown that all error signals of the closed-loop system are uniformly ultimately bounded. Simulation results show the effectiveness of the proposed formation control scheme. © 2024 IEEE.

关键词： Unmanned surface vehicles

来源：评论

学校读者我要写书评

暂无评论

A Novel All-phase Fast Fourier Transform-based Parameters Identification of High Frequency Oscillations 60

A Novel All-phase Fast Fourier Transform-based Parameters Id...

引用

60th IEEE/IAS Industrial and Commercial Power Systems Technical Conference, I and CPS 2024

作者： Sun, Feiyu Cai, Dongsheng Zhang, Zhenyuan Huang, Qi University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering Chengdu611731 China Chengdu University of Technology College of Nuclear Technology and Automation Engineering 610059 China Southwest University of Science and Technology School of Information Engineering Sichuan Mianyang China

ISBN: (纸本)9798350345308

Wind and solar energy inverter-based resources (IBRs) has been employed extensively with the aim of carbon neutrality. Power systems also make extensive use of power electronic converters, leading to interactions between IBRs and with the grid, causing high frequency oscillation (HFO) problems. It damages equipment and jeopardizes the security of the system. To identify HFO components above 100 Hz, this research use Phasor Measurement Unit (PMU) instantaneous value data to determine the HFO associated characteristics. To reduce the influence of spectral leakage and the fence effect, as well as to improve the identification accuracy of the related parameters, this paper adopts the RV self-convolutional window based Discrete Fourier Transform (DFT) and the Hanning double-window based all-phase Fast Fourier Transform (apFFT) hybrid algorithm to identify the HFO modal parameters. We take into account the identification accuracy in complex cases, such as non-nominal frequencies, with noise effects and multiple HFO modes. The simulation results show that the proposed method has high identification bandwidth, accuracy and strong flexibility. © 2024 IEEE.

关键词： Discrete Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Pulse Signal Generator for Simulated Gamma-ray Spectrometer Detection

Pulse Signal Generator for Simulated Gamma-ray Spectrometer ...

引用

2023 International Conference on Applied Mathematics and Digital Simulation, AMDS 2023

作者： Guo, Cheng Zhang, Yan Hu, Yuan Lai, Wanchang Zhao, Qing School of Resources and Environment University of Electronic Science and Technology of China Chengdu610054 China Yangtze Delta Region Institute University of Electronic Science and Technology of China Huzhou313000 China Shanghai Institute of Space Propulsion Shanghai201112 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China

This paper introduces an integrated nuclear pulse generator aimed at simulating authentic radiation detection signals, allowing for the convenient calibration and testing of nuclear instruments without the need for radioactive sources. An innovative method is adopted, generating energy spectrum distributions via Monte Carlo simulation and deriving nuclear pulse waveforms using difference equations. This approach enables real-time computation of particle transport processes on a hardware platform, and generates pulse sequences that closely resemble the statistical characteristics of actual nuclear events. Compared to traditional nuclear signal generators, this new type of generator significantly enhances the flexibility and real-time capabilities of the equipment, as it no longer relies on pre-stored empirical data or simulation software to generate energy spectrum data. As a case for gamma-ray spectrometer detection, the signal waveforms and energy spectrum distributions produced closely match those obtained using a NaI scintillation detector in a lead chamber to detect a Cs-137 source. © Published under licence by IOP Publishing Ltd.

关键词： Sodium Iodide

来源：评论

学校读者我要写书评

暂无评论

Research on Rural Income Planting Strategies Based on Linear Programming and Monte Carlo Simulation 24

Research on Rural Income Planting Strategies Based on Linear...

引用

2024 International Conference on Economic Data Analytics and Artificial Intelligence, EDAI 2024

作者： Zhang, Huangnian Ji, Shuai Zhang, Chun Liu, Chang Chen, Li School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China College of Marine Life Sciences Ocean University of China Shandong Qingdao China School of Rehabilitation Medicine Qilu Medical University Shandong Zibo China

ISBN: (纸本)9798400713255

Utilizing cultivated land resources and choosing appropriate crop planting strategies are of crucial importance for rural economic development. This paper summarizes the production structure of 74,000 villages in Shandong Province. By taking the average values of the selling prices, production costs, and cultivated areas of each crop, it centrally reflects the production characteristics of this province. Based on previous years' planting data, a maximization objective function is established using linear programming + 0-1 programming to analyse three problems under different planting scenarios [1]. In problem one, the planting strategy that maximizes total revenue is sought. The linear programming + 0-1 programming method and three-dimensional arrays are used to discuss the limiting conditions. The 0-1 variable is used to control and prevent yield reduction and solve the difficulties in planting leguminous crops. The optimal planting strategies are obtained respectively under the two circumstances of overproduction leading to unsalable products and a 50% price reduction for sale. In problem two, a dynamic programming model is established through uncertainty analysis. Monte Carlo simulation is used to quantify the planting risk coefficient and obtain the optimal strategy under the influence of uncertain factors. In problem three, considering the substitutability, complementarity, and correlation of crops, by using Euclidean distance to calculate the similarity between various crops, the concepts of reward items and penalty items are introduced, and planning is carried out on the basis of the second problem. In general, this paper introduces new methods and considers multiple factors to make the strategy more practical and provide decision support for rural economic development. © 2024 Copyright held by the owner/author(s).

关键词： Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

Multiple Static Target Hunting Based on the RRT and OSPA Distance

Multiple Static Target Hunting Based on the RRT and OSPA Dis...

引用

2024 China automation Congress, CAC 2024

作者： Liu, Weifeng Ren, Shiwei Tang, Jiawei Su, Zijun School of Electrical and Control Engineering Shaanxi University of Science and Technology Xi’an China School of Automation Hangzhou Dianzi University Hangzhou China University of Electronic Science and Technology Chengdu China

ISBN: (纸本)9798350368604

This paper considers multiple static target hunting control and path planning using multi-agents. The whole hunting process can be classified into two stages. The first is cruising stage, where the agents move in a certain formation to approach the multiple static targets. Once the agents enter into certain ranges around the targets, the agents will switch into the second stage of hunting. In these two stages, it is required to consider several issues: the agent controlling, path planning, and task allocation. Specifically, the traditional multi-agent controlling algorithm, rapidly-exploring random tree (RRT), and optimal sub-pattern assignment (OSPA) are respectively used in the process. Simulation experiment shows that the path planning and hunting algorithm can efficiently realize the formation movement and multiple static targets hunting. © 2024 IEEE.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：