Studies in Informatics and Control最新文献_第7页

A New Neural Network-Based Adaptive Time-Delay Control for Nonlinear Car Active Suspension System 基于神经网络的非线性汽车主动悬架系统自适应时滞控制

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202202

Ghazally I. Y. Mustafa, Xinian Li, Haoping Wang

引用次数: 2

A New Particle Swarm Optimization with Bat Algorithm Parameter-Based MPPT for Photovoltaic Systems under Partial Shading Conditions 一种新的基于Bat算法参数的粒子群优化方法

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202206

M. Alshareef

引用次数: 1

Generation of Creative Game Scene Patterns by the Neutrosophic Genetic CoCoSo Method 利用Neutrosophic遗传CoCoSo方法生成富有创意的游戏场景模式

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202201

Aurimas Petrovas, R. Baušys, E. Zavadskas, F. Smarandache

引用次数: 5

Intertwining Digitalization and Sustainable Performance via the Mediating Role of Digital Transformation and the Moderating Role of FinTech Behavior Adoption 通过数字化转型的中介作用和金融科技行为采用的调节作用，将数字化与可持续绩效交织在一起

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202204

M. Sarfraz, Zhixiao Ye, D. Banciu, Florin Dragan, L. Ivașcu

引用次数: 2

Optimization of Multimodal Trait Prediction Using Particle Swarm Optimization 基于粒子群算法的多模态性状预测优化

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202203

Milić Vukojičić, M. Veinovic

引用次数: 1

HBSBoost: A Hybrid Balancing Technique for Defaulting Enterprise Recognition HBSBoost:一种用于默认企业识别的混合平衡技术

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202207

Marui Du, Zuoquan Zhang

引用次数: 0

An Optimized Method for Solving Membership-based Neutrosophic Linear Programming Problems 求解隶属性中性线性规划问题的优化方法

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-12-19 DOI: 10.24846/v31i4y202205

A. Nafei, C. Huang, S. Azizi, Shuanfa Chen

引用次数: 1

Bio-Inspired Hybridization of Artificial Neural Networks for Various Classification Tasks 基于生物启发的各种分类任务人工神经网络杂交

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202202

Ouail Mjahed, Salah El Hadaj, E. E. El Guarmah, Soukaina Mjahed

{"title":"Bio-Inspired Hybridization of Artificial Neural Networks for Various Classification Tasks","authors":"Ouail Mjahed, Salah El Hadaj, E. E. El Guarmah, Soukaina Mjahed","doi":"10.24846/v31i3y202202","DOIUrl":"https://doi.org/10.24846/v31i3y202202","url":null,"abstract":": Recently, in order to optimize artificial neural networks (ANNs), several bio-inspired metaheuristic algorithms have been successfully applied. Moreover, these hybrid ANNs were operated using no more than two or three metaheuristic algorithms at a time. Additionally, the classification field is so rich that some issues were not sufficiently addressed. The main contribution of this paper is related to the use of several ANN hybridizations at the same time, while taking into account the datasets for which the ANNs or their hybridizations have been rarely explored. Thus, seven hybridized ANNs with bio-inspired metaheuristic algorithms such as particle swarm optimization (PSO-ANN), genetic algorithm (GA-ANN), differential evolution (DE-ANN), cultural algorithm (CA-ANN), harmony search (HS-ANN), black hole algorithm (BH- ANN) and ant lion optimizer (ALO-ANN) were considered for classifying four kinds of datasets. After a back-propagation neural network (BPNN) was designed, the connection weights and biases of neurons were optimized by using the seven metaheuristic algorithms mentioned above. The four selected data types belong to different domains and differ with regard to the number of classes, variables and examples. As performance measurement is concerned; the efficiencies, purities and F-measure are analysed. For all simulation runs, it can be noticed that metaheuristic algorithms were able to reach optimal efficiencies and that all the PSO-ANN-based networks obtained higher values for efficiency. For this analysis, the dependence of the obtained results on certain metaheuristic parameters was taken into account.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46522841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Improved Composite State Convergence Scheme with Disturbance Compensation for Multilateral Teleoperation Systems 一种改进的带扰动补偿的多边遥操作系统复合状态收敛方案

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202204

M. Asad, J. Gu, U. Farooq, V. Balas, M. Balas, G. Abbas

引用次数: 0

Nonlinear Accommodation of a DC-8 Aircraft Affected by a Complete Loss of a Control Surface 控制面完全丧失对DC-8飞机非线性调节的影响

IF 1.6 4区计算机科学

Studies in Informatics and Control Pub Date : 2022-09-30 DOI: 10.24846/v31i3y202210

Hajer Mlayeh, K. Ben Othman

{"title":"Nonlinear Accommodation of a DC-8 Aircraft Affected by a Complete Loss of a Control Surface","authors":"Hajer Mlayeh, K. Ben Othman","doi":"10.24846/v31i3y202210","DOIUrl":"https://doi.org/10.24846/v31i3y202210","url":null,"abstract":": The occurrence of failures in the control surfaces of an aircraft may become a serious threat to the safety of both aircraft and passengers. That is, using fault-tolerant control (FTC) is vital for such critical systems. The nonlinear progressive accommodation (NPA) is a FTC strategy that consists in solving the State-dependant Riccati Equation (SDRE) in an iterative way. The aim of this work is to study the efficiency of the NPA, in the case of a non-classical stabilization problem and a different modelling of a nonlinear (NL) system, affected by a total actuator failure. That is, a modified NPA strategy is proposed by combining the SDRE control and a feed-forward compensator, derived from the Forward-Propagation-Riccati-Equation (FPRE). The system considered in this paper is a full NL model of a DC-8 aircraft with coupled dynamics. The modelling of the aircraft as well as the simulation of the healthy, affected and accommodated system are presented. The proposed NPA method allows the aircraft to achieve a trajectory-following mission despite the complete failure of its actuator. Most importantly, by preserving the system’s stability, the developed approach can be considered as a good alternative to the use of redundant actuators in aircraft.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44307533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1