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A fractional-order chaotic Lorenz-based chemical system:Dynamic investigation,complexity analysis,chaos synchronization,and its application to secure communication

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Chinese Physics B 2024年第12期33卷 223-235页

作者： Haneche Nabil Hamaizia Tayeb Mathematical Modeling&Simulation Laboratory Department of MathematicsUniversity of Mentouri BrothersConstantineAlgeria Department of Mathematics University of Mentouri BrothersConstantineAlgeria

Synchronization of fractional-order chaotic systems is receiving significant attention in the literature due to its applications in a variety of fields,including cryptography,optics,and secure *** this paper,a three-dimensional fractional-order chaotic Lorenz model of chemical reactions is *** basic dynamical properties,such as stability of equilibria,Lyapunov exponents,bifurcation diagrams,Poincarémap,and sensitivity to initial conditions,are *** adopting the Adomian decomposition algorithm(ADM),the numerical solution of the fractional-order system is *** is found that the lowest derivative order in which the proposed system exhibits chaos is q=0.694 by applying *** result has been validated by the existence of one positive Lyapunov exponent and by employing some phase *** addition,the richer dynamics of the system are confirmed by using powerful tools in nonlinear dynamic analysis,such as the 0-1 test and C_(0)***,modified projective synchronization has been implemented based on the stability theory of fractional-order *** paper presents the application of the modified projective synchronization in secure communication,where the information signal can be transmitted and recovered successfully through the *** simulations are provided to show the validity of the constructed secure communication scheme.

关键词： chaotic system Adomian decomposition method modified projective synchronization secure communication

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CFD 2030 Hypersonic modeling & simulation Grand Challenge: Part 2

CFD 2030 Hypersonic Modeling & Simulation Grand Challenge: P...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Cummings, Russell M. Morton, Scott A. Department of Aeronautics US Air Force Academy USAF Academy CO80840 United States High Fidelity Modeling and Simulation US Air Force Research Laboratory Eglin AFB FL32542 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

As part of AIAA CFD2030, a hypersonic modeling & simulation Grand Challenge is currently being developed. The Grand Challenge will address the challenges in performing a full vehicle trajectory simulation for two hypersonic vehicle types: an Air Breathing Cruiser and a Boost Glide Concept. Necessarily, each vehicle type will require a set of sub-challenges in order to successfully improve the accuracy of the simulations while also decreasing the time required to perform the calculations. Some of the sub-challenges include the need for external and internal flow simulations, deforming structural analysis, and control system simulation, requiring candidate validations experiments to compare to as well as the details of the trajectory or set of points in the flight envelope to analyze. The paper will include details about the technical challenges involved and how the sub-challenge teams will develop plans for addressing those challenges. An integrated system-of-systems approach will be discussed in greater detail to show how full trajectory simulation improvements will result. A timeline is also presented for each of the sub-challenges to show how progress will be made in the next few years. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Flight envelopes

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A Comprehensive Review of Materials Used In Marine Engineering: Advances, Challenges and Practices 4

A Comprehensive Review of Materials Used In Marine Engineeri...

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4th International Conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024

作者： Bouanani, Oumaima Ech-Chhibat, Moulay El Houssine Sandabad, Sara Enset Mohammedia Hassan Ii University Laboratory Of Modeling And Simulation Of Intelligent Industrial Systems Casablanca Morocco Enset Mohammedia Hassan Ii University Isem Laboratory Of Modeling And Simulation Of Intelligent Industrial Systems Casablanca Morocco

ISBN: (纸本)9798350309508

This article provides a comprehensive review of the current state of design and materials used in shipbuilding. It explores various types of vessels and innovative materials such as composites and steel employed in their construction. Additionally, the article examines different material tests discussed in the literature and their relevance in the maritime field. Ship corrosion is also addressed, with particular focus on mitigation strategies. Finally, the environmental impact of ships is discussed, highlighting implications and measures to minimize this impact. © 2024 IEEE.

关键词： Corrosion resistance

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Multi-Targets Visiting Orbit Design Based on Numerical Method

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Guidance,Navigation and Control 2025年第1期05卷 139-148页

作者： Zenan Zhong Zhengxiang Sun Songyan Wang Tao Chao Ming Yang Control and Simulation Center Harbin Institute of Technology National Key Laboratory of Modeling and Simulation for Complex Systems Harbin Institute of Technology Beijing Institute of Space Long March Vehicle

In this paper, for the two/three targets in the circle orbit with the same altitude, a numerical method is presented to design an orbit for a spacecraft to visit multiple targets without maneuvering. First,for the two targets' case, an equation is established by the relationship of the two angles that both are the function of the time, one of the angles is the angle between two targets' geocentric position vectors at two times, and another one is the spacecraft flight angle during the two times. The visit time can be solved by the assumption that one of the visit times is known in the equation, and the orbit element can be transferred from the position and velocity vector determined by the solved visit time. Then, for the three targets' case, the problem is decoupled into two cases of two targets, and there is a public target in each case. Based on the method for two targets, two different orbits can be obtained by determining the visit time of the public target. The difference between two orbits can be expressed by the difference in velocity vectors of the public target at different times. A sampling method is utilized to select two velocity vectors with relatively small differences as initial values, the Newton iteration method is used to obtain visit times with higher accuracy. simulation results illustrate the effectiveness of the orbit design methods.

关键词： Orbit design method multiple targets visit circle orbit non-maneuvering

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Forecasting stock market returns using deep learning and time series techniques: a comparative and empirical study using technical indicators

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Multimedia Tools and Applications 2024年 1-21页

作者： Fahd, Kalloubi Badr, Hirchoua Eddine, Labiad Salah Mouad, Aterhi LTI Laboratory National School of Applied Sciences El Jadida Morocco Casablanca Morocco Modeling Simulation and Data Analysis Mohammed VI Polytechnic University Ben Guerir Morocco

Deep learning models enable learning strategic and accurate behaviors. Nevertheless, training accurate models in dynamic environments, such as stock markets, has been a long-standing challenge. They suffer from partial observability, long-term dependencies, and require merging different handcrafted features. Moreover, selecting the model architecture and fine-tuning different parameters is very challenging. In this paper, we conduct a comparative and empirical study of different possible scenarios. We demonstrate and provide a solid recommendation for possible network architectures. Precisely, we compare different recurrent neural network models alongside time series techniques and report their influence on out-of-sample stock returns. Furthermore, we run an empirical study to determine the best features and hyperparameters using several feature importance techniques. Strong technical indicators have fueled the input prices to push the input representation forward. Extensive experiments have been presented to evaluate the performance of different models, and the results are critically analyzed and empirically verified. The results demonstrate that bidirectional recurrent neural networks and the autoregressive integrated moving average with explanatory variable model provide better performances in predicting the following day’s closing price and provide better references and insights for future investments. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Prediction models

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Defense System modeling and Effectiveness Evaluation Analysis Based on Kill Chain Model 15

Defense System Modeling and Effectiveness Evaluation Analysi...

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15th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2024

作者： Liu, Yuanshuai Li, Wei Chao, Tao National Key Laboratory of Modeling and Simulation for Complex Systems Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9781643685892

This paper addresses the interception mission of hypersonic vehicles by weapon defense systems. A simulation model of the attack-defense confrontation process is constructed based on the "F2T2EA" kill chain model. Building upon this framework, a novel method combining TOPSIS, the entropy weight method, and fuzzy theory is proposed, guided by the concept of kill chain closure, to evaluate the interception effectiveness of defense systems against boost-glide hypersonic vehicles. The model's effectiveness is verified through practical examples, with consistent conclusions obtained through traditional grey correlation analysis, thus confirming the feasibility and reliability of both the model and the evaluation methodology. The results of this research offer reliable technical support for the design and combat application of defense systems and provide a reference for future optimization efforts. © 2025 The Authors.

关键词： boost-glide vehicle grey correlation performance evaluation TOPSIS

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DMGA: A Directional-Mutation Genetic Algorithm for CDMS Problem of Kafka 21

DMGA: A Directional-Mutation Genetic Algorithm for CDMS Prob...

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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Ma, Hanbo Ma, Yaofei Yuan, Haitao Wang, Meijia Hu, Jingwei Wang, Yihuan Yang, Hanbo School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Simulation Center National Key Laboratory of Modeling and Simulation for Complex Systems Beijing China

ISBN: (纸本)9798350365221

With the increasing role of distributed message systems (DMS) represented by Kafka in handling large-scale data streams, it is critical to improve system performance by optimizing configuration parameters in different production environments. Due to the target system possessing numerous configuration parameters and the complex interactions between them, parameter optimization becomes a complex and time-consuming process that relies heavily on human effort and an iterative trial-and-error approach. At present, this type of configuration parameter problem has been classified as the Configuration of Distributed Message Systems (CDMS) problem, for which the goal is to obtain the optimal set of parameters for achieving the best performance. In order to deal with this complex problem, an automatic optimization method is proposed in this paper, which combines an automatic script-based deployment and running framework with an improved Genetic Algorithm (GA) in cooperation with the Random Forest (RF) and statistical methods, named the Directional-Mutation Genetic Algorithm (DMGA). The framework and algorithm are designed to find the best configuration efficiently, obtaining optimal parameters accurately without human supervision. Actual results of comparison experiments based on the Kafka system show that the DMGA algorithm significantly improves the data throughput performance of Kafka, and its optimization speed is more efficient than the basic GA, highlighting its potential to quickly optimize Kafka's operational efficiency in different scenarios. © 2024 IEEE.

关键词： Genetic algorithms

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Predicting the failure of plain dent pipeline subjected to cyclic loads using an artificial neural network 7

Predicting the failure of plain dent pipeline subjected to c...

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7th IEEE International Congress on Information Science and Technology, CiSt 2023

作者： Kiri, Yassine El Mighouar, Zakaria Zahiri, Laidi Mansouri, Khalifa Ouardi, Soufiane El Chaiti, Hammadi Hassan Ii University Laboratory of Modeling and Simulation of Intelligent Industrial Systems Enset Mohammedia Morocco

ISBN: (纸本)9781665461337

Pipelines are widely used to transport fluids over long distances. When a pipeline is subjected to variable internal pressure and external disturbances such as subsidence, structural damage caused by the presence of defects can intensify. Since 2010, the use of artificial intelligence has become a crucial means of solving complex problems, even for interpretation and decision-making using machine learning tools. The main aim of this paper is to use an artificial neural network to predict the failure of a cyclically loaded pipeline with a dent defect. A feedforward neural network has been created to predict the state of a dented pipeline using data from several experiments based on geometric and material properties and cyclic fluid pressure. It enables rapid detection of faults such as plain indentations for maintenance operatives, speeding up intervention time and reducing material and environmental damage. Two evaluation criteria were taken into account for the different models in order to select the optimum architecture in terms of accuracy. © 2023 IEEE.

关键词： Failure (mechanical)

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Control Design of Flight simulation Turntable Based on Model-Free Adaptive Control

Control Design of Flight Simulation Turntable Based on Model...

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2023 China Automation Congress, CAC 2023

作者： Yue, Mingtan Zhang, Yu Huo, Xin Control & Simulation Center Harbin Institute of Technology Harbin150080 China Beijing Simulation Center National Key Laboratory of Modeling and Simulation for Complex Systems Beijing100854 China

ISBN: (纸本)9798350303759

Aiming at the problem of periodic interference in flight simulation turntables, a design method of full-form dynamic linearization model free adaptive control (FFDL-MFAC) is proposed. An equivalent dynamic linearized data model is established at each dynamic operating point of the closed-loop system to achieve adaptive control of the nonlinear system, which gives the controller the advantage of online adjustment of internal parameters and improves the robustness of the control system. Aiming at the difficulty of parameter adjustment caused by the increase of dimension of the pseudo partial derivative matrix, a PID-like MFAC parameter adjustment method is proposed, which greatly reduces the difficulty of parameter adjustment of the model-free adaptive controller. The simulation results of MFAC and PID show that the designed FFDL-MFAC controller outperforms the conventional PID in tracking command signals and suppressing periodic disturbances. © 2023 IEEE.

关键词： Controllers

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Novel Hybrid Photovoltaic Array Arrangement to Mitigate Partial Shading Effects

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Applied Solar Energy (English translation of Geliotekhnika) 2022年第6期58卷 813-828页

作者： Jariri, Nouhaila Aroudam, Elhassan Modeling and Simulation of Mechanical Systems Laboratory Physics Department Faculty of Sciences Abdelmalek Essaadi University Tetouan93002 Morocco

Abstract: This paper presents a Novel Hybrid reconfiguration scheme to mitigate partial shading effects in the photovoltaic array and minimize ties number and wiring complexity. The proposed topology is based on a combination of Total-Cross-Tied and Bridge-Linked classic topologies. Ten possible shadowing scenarios have been considered for this investigation in 6x6 photovoltaic array. Further, the proposed topology performance is assessed and compared to various typical photovoltaic array topologies, namely, Series-Parallel (S‑P), Honey-Comb (H-C), Bridge-Linked (B-L), and Total-Cross-Tied (T-C-T) by considering the several parameters like Global Maximum Power Point (GMPP), Current at GMPP, Voltage at GMPP, Fill Factor, Mismatch Loss, and Efficiency. The Canadian Solar CS5A-200M PV module parameters are used in MATLAB-Simulink software to simulate photovoltaic array configurations. Finally, the findings of this work demonstrates that the suggested topology minimizes the shading losses and generates the highest maximum power regarding the other array configurations under most shadowing cases. The power enhancement percentage of the Novel arrangement can reach up to 20.25% for the S-P configuration, and up to 16% for both the H-C and B-L topologies. In addition, the proposed scheme is characterized by the minimum wiring loss when compared to the Total-Cross-Tied topology. © 2022, Allerton Press, Inc.

关键词： Topology

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