复杂系统建模与仿真(英文)最新文献

Contrastive Self-Supervised Learning-Based Wireless Fingerprint Localization 基于对比自监督学习的无线指纹定位

复杂系统建模与仿真(英文) Pub Date : 2025-04-28 DOI: 10.23919/CSMS.2024.0032

Qiao Li;Zhili Zhang;Zhaofa Zhou

{"title":"Contrastive Self-Supervised Learning-Based Wireless Fingerprint Localization","authors":"Qiao Li;Zhili Zhang;Zhaofa Zhou","doi":"10.23919/CSMS.2024.0032","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0032","url":null,"abstract":"Recently, deep learning based fingerprint localization has attracted significant interest due to its simplicity in implementation and effectiveness in complex multipath environments, especially for the Internet of Things (IoT) devices in multiple-input multiple-output (MIMO)-orthogonal frequency-division multiplexing (OFDM) system. However, the huge amount of training data collection has become a challenge, which increases the labor burden of fingerprint localization heavily and hinders its large-scale implementation. In this paper, we propose a novel fingerprint localization system, termed as SiamResNet, which can be trained only on the radio map by contrastive self-supervised learning without the need for any other additional data. To be more specific, we first model the fingerprint localization problem as a dictionary look-up task. Subsequently, a channel fingerprint capturing the multipath angle and delay of wireless propagation is introduced, which exhibits excellent uniqueness, stability, and distinguishability. Meanwhile, we propose the corresponding data augmentation strategy to ensure data diversity when generating the training data from the radio map. Thus, the cost of data collection for training can be significantly reduced. Lastly, the Siamese architecture based SiamResNet is applied for location estimation, which can comprehensively extract the features of fingerprints and accurately compare the similarity of any fingerprint to the radio map in the representation space. The performance of the proposed localization method is validated through extensive simulations with a ray-tracing channel model, which demonstrates promising localization accuracy for our SiamResNet with reduced training costs.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 3","pages":"261-281"},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10979681","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control 基于自适应多模型预测控制的切换系统的可行性与渐近稳定性

复杂系统建模与仿真(英文) Pub Date : 2025-04-28 DOI: 10.23919/CSMS.2024.0030

Mohammad Fathi;Hossein Bolandi;Bahman Ghobrani Vaghei;Saeed Ebadollahi

{"title":"On Feasibility and Asymptotically Stability of Switched Systems Using Adaptive Multi-Model Predictive Control","authors":"Mohammad Fathi;Hossein Bolandi;Bahman Ghobrani Vaghei;Saeed Ebadollahi","doi":"10.23919/CSMS.2024.0030","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0030","url":null,"abstract":"The present paper attempts to design an adaptive multi-model predictive control strategy for strongly nonlinear or switched systems with various operating points. The proposed control system guarantees the feasibility and the asymptotic stability of the closed-loop system, considering various challenges such as inherent uncertainties in the local models constituting the model bank, limited prediction/control horizons, and set point changes. To this end, four fundamental challenges in this area, namely guaranteeing feasibility throughout the region assigned to each subspace, ensuring asymptotic stability in each subspace considering the inherent uncertainties of the local models, guaranteeing feasibility and asymptotic stability during changes in the set point and switching between the subspaces, are addressed. By introducing transferring mode concept, this paper presents a novel method for guaranteeing the feasibility and stability of the switched systems without the need for increasing the prediction/control horizons or decreasing the size of the feasibility region. The proposed control structure uses a supervisor algorithm along with a soft-switching technique. The supervisor algorithm is responsible for determining the suitable local model/controller pair, determining the operational mode of the control system, managing the soft switching, and specifying the control objectives in accordance with the defined set point. The efficiency of the proposed control strategy is demonstrated by simulating a Continuous Stirred Tank Reactor (CSTR) as the controlled system. Based on the results, the proposed controller is able to guarantee the feasibility and stability of highly nonlinear and switched systems in a wide operating region under set point changes and uncertainties in the local models.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"155-175"},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10979683","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Operational Characteristics Simulation for Off-Grid Hydrogen Production System with Wind-Solar Power Generation 风能-太阳能离网制氢系统运行特性仿真

复杂系统建模与仿真(英文) Pub Date : 2025-04-28 DOI: 10.23919/CSMS.2024.0034

Hua Xie;Zhe Liu;Zhihong Xu;Tao Zhu;Yihan Hu;Kai Li

引用次数: 0

Traffic Conflict and Risk Analysis of Small-Spacing Interchange Interweaving Sections on Expressways Using Joint Simulation 基于联合仿真的高速公路小间距互通交叉口交通冲突与风险分析

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0031

Yanpeng Wang;Fanxing Kong;Zhanji Zheng;Xingliang Liu;Heshan Zhang;Jin Xu

{"title":"Traffic Conflict and Risk Analysis of Small-Spacing Interchange Interweaving Sections on Expressways Using Joint Simulation","authors":"Yanpeng Wang;Fanxing Kong;Zhanji Zheng;Xingliang Liu;Heshan Zhang;Jin Xu","doi":"10.23919/CSMS.2024.0031","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0031","url":null,"abstract":"Affected by the limited interchange spacing, the operational risk of vehicles in expressway small-spacing interchanges (SSls) is more complex compared to other interchanges. In this study, unmanned aerial vehicle (UAV) measurements were integrated with joint simulation data to explore the risk characteristics of SSls with the help of traffic conflict theory. Seven traffic flow parameters, including mainline traffic volume, were selected to evaluate their impact on traffic conflicts. The distribution of four traffic conflict indicators, such as time to collision (TTC), was analyzed, and their severity was categorized using cumulative frequency analysis and minibatch K-means clustering. By varying the spacing, the study scrutinized trends in traffic conflicts, emphasizing the influence of various traffic flow parameters, distinctions in conflict indicators, and the ratio of severe conflicts to total conflicts. Additionally, an analysis of the spatial distribution of severe conflicts was conducted. The results suggested that traffic conflicts in SSls are influenced by multiple factors, with mainline and entry traffic volumes being the most significant. Heavy vehicle proportions and entry ramp speeds had notable effects under certain spacing conditions. Considerable variations were observed in conflict indicators across different spacings, with the maximum conflict speed being the most affected by spacing, while TTC was the least. As spacing increased, the proportion of severe conflicts decreased, with severe TTC dropping from 18% to 10%. High-density conflict zones were identified near merging points in the second and third lanes. With larger spacing, the conflict zone range narrowed while the density of conflict points intensified.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"176-189"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969594","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time 集合人工蜂群算法与q -学习用于序列依赖的多目标分布式异构流水车间调度问题

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0040

Fubin Liu;Kaizhou Gao;Adam Słowik;Ponnuthurai Nagaratnam Suganthan

{"title":"Ensemble Artificial Bee Colony Algorithm and Q-Learning for Multi-Objective Distributed Heterogeneous Flowshop Scheduling Problems with Sequence-Dependent Setup Time","authors":"Fubin Liu;Kaizhou Gao;Adam Słowik;Ponnuthurai Nagaratnam Suganthan","doi":"10.23919/CSMS.2024.0040","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0040","url":null,"abstract":"As the global economy develops and people's awareness of environmental protection increases, the efficient scheduling of production lines in workshops has received more and more attention. However, there is very little research focusing on distributed scheduling for heterogeneous factories. This study addresses a multi-objective distributed heterogeneous permutation flow shop scheduling problem with sequence-dependent setup times (DHPFSP-SDST). The objective is to optimize the trade-off between the maximum completion time (Makespan) and total energy consumption. First, to describe the concerned problems, we establish a mathematical model. Second, we use the artificial bee colony (ABC) algorithm to optimize the two objectives, incorporating five local search strategies tailored to the problem characteristics to enhance the algorithm's performance. Third, to improve the convergence speed of the algorithm, a Q-learning based strategy is designed to select the appropriated local search operator during iterations. Finally, based on experiments conducted on 72 instances, statistical analysis and discussions show that the Q-learning based ABC algorithm can effectively solve the problems better than its peers.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 3","pages":"221-235"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969533","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144896788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention 基于保留的神经网络多目标组合优化快速求解模型

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0029

Huiqing Wei;Fei Han;Qing Liu;Henry Han

{"title":"RM-MOCO: A Fast-Solving Model for Neural Multi-Objective Combinatorial Optimization Based on Retention","authors":"Huiqing Wei;Fei Han;Qing Liu;Henry Han","doi":"10.23919/CSMS.2024.0029","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0029","url":null,"abstract":"Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO problems. However, most of these methods use attention mechanisms and their variants, which have room for further improvement in the speed of solving MOCO problems. In this paper, following the idea of decomposition strategy and neural combinatorial optimization, a novel fast-solving model for MOCO based on retention is proposed. A brand new calculation of retention is proposed, causal masking and exponential decay are deprecated in retention, so that our model could better solve MOCO problems. During model training, a parallel computation of retention is applied, allowing for fast parallel training. When using the model to solve MOCO problems, a recurrent computation of retention is applied, enabling quicker problem-solving. In order to make our model more practical and flexible, a preference-based retention decoder is proposed, which allows generating approximate Pareto solutions for any trade-off preferences directly. An industry-standard deep reinforcement learning algorithm is used to train RM-MOCO. Experimental results show that, while ensuring the quality of problem solving, the proposed method significantly outperforms some other methods in terms of the speed of solving MOCO problems.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"125-137"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969587","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Color Image Encryption Based on Five-Dimensional Continuous Hyperchaotic System and Optimized Arnold Algorithm 基于五维连续超混沌系统和优化Arnold算法的彩色图像加密

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0028

Zhenju Wang;Cong Wang;Ping Ma;Yue Meng;Hongli Zhang

{"title":"Color Image Encryption Based on Five-Dimensional Continuous Hyperchaotic System and Optimized Arnold Algorithm","authors":"Zhenju Wang;Cong Wang;Ping Ma;Yue Meng;Hongli Zhang","doi":"10.23919/CSMS.2024.0028","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0028","url":null,"abstract":"This paper introduces a novel color image encryption algorithm based on a five-dimensional continuous memristor hyperchaotic system (5D-MHS), combined with a two-dimensional Salomon map and an optimized Arnold transform. Firstly, convert the test image to a 2D pixel matrix then processed in blocks, and each block of the pixel matrix is permuted with chaotic sequences generated by 5D-MHS and 2D Salomon map. Then, the permuted image is permuted for three rounds with the optimized Arnold algorithm. Finally, one of the chaotic sequences generated by 5D-MHS is employed to diffuse the permuted image to obtain the final ciphertext image. In this paper, several pseudo-random sequences are generated and mixed in the permutation stage to achieve higher security. The algorithm achieves a key space of 2<sup>472</sup>, the information entropy of the ciphertext image for the color image is 7.9998, number of pixels change rate (NPCR) and unified average changing intensity (UACI) reached 99.6131 % and 33.4361 %, respectively, and the correlation between pixels is close to O. The simulation results show that the encryption algorithm is efficient and the key system is secure.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"138-154"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969590","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bistatic Echo Simulation Method of Micro-Motion Target with Specular Scattering Conditions 具有镜面散射条件的微运动目标双基地回波仿真方法

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0038

Yiqi Zhu;Zhiming Xu;Xiaofeng Ai;Xiaoxia Xie;Feng Zhao;Jinhui Zhao

引用次数: 0

Synchronization in Memristive Small-World Neural Networks Under Electromagnetic Radiation 电磁辐射下记忆性小世界神经网络的同步

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0036

Jiapeng Ouyang;Yalian Wu;Yichuang Sun;Minglin Ma

引用次数: 0

Systematic Literature Review on Multi-Objective Simulation Optimization 多目标仿真优化的系统文献综述

复杂系统建模与仿真(英文) Pub Date : 2025-04-17 DOI: 10.23919/CSMS.2024.0037

Mariane Gonçalves de Alcantara;Aneirson Francisco da Silva;Fernando Augusto Silva Marins;Rafael de Carvalho Miranda

{"title":"Systematic Literature Review on Multi-Objective Simulation Optimization","authors":"Mariane Gonçalves de Alcantara;Aneirson Francisco da Silva;Fernando Augusto Silva Marins;Rafael de Carvalho Miranda","doi":"10.23919/CSMS.2024.0037","DOIUrl":"https://doi.org/10.23919/CSMS.2024.0037","url":null,"abstract":"Simulation optimization is a rapidly growing research field, fueled by advances in computational technology. These advances have made it possible to solve complex stochastic optimization problems through simulation. While most published articles focus on single-objective optimization, multl-objective optimization is gaining prominence, allowing the approach of real-world problems that present multiple, conflicting objectives. In this context, the objective of this article was to conduct a systematic literature review to identify articles that present solution methods for Multi-Objective Simulation Optimization (MOSO) problems. The focus was on practical optimization applications in conjunction with Discrete Event Simulation (DES) models, aiming to identify the main aspects of the problems addressed, the methods used, and research opportunities, contributing to future projects. By exploring the characteristics of MOSO problems associated with DES and the applied solution methods, this article innovatively presents a guide to help professionals improve their decision-making processes and assist researchers in developing new research.","PeriodicalId":65786,"journal":{"name":"复杂系统建模与仿真(英文)","volume":"5 2","pages":"190-220"},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10969588","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0