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检索条件"任意字段=International Conference on Complex Systems: Control and Modeling Problems"

共 12202 条记录，以下是381-390 订阅

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modeling the Movement of a ROV Taking into Account the Influence of a Communication Cable

Modeling the Movement of a ROV Taking into Account the Influ...

引用

2024 international conference on Ocean Studies, ICOS 2024

作者： Kostenko, Vladimir Mokeeva, Irina Medvedev, Andrei Far-Eastern Branch Russian Academy of Sciences Laboratory 43 M.D. Ageev Institute of Marine Technology Problems Vladivostok Russia

ISBN: (纸本)9798331532307

The efficiency of underwater technical operations by remotely operated unmanned underwater vehicles (ROV) equipped with a multi-link manipulator (MM) is largely determined by the accuracy of the ROV dynamic positioning above the work object under conditions of disturbing effects from the current and the communication cable with the support vessel. The report proposes a new approach to the development of a mathematical model of the ROV motion control system (MCS), taking into account the force effects of the communication cable caused by the underwater current and the motion of the vehicle itself. The proposed mathematical model of the cable response to the vehicle is based on pre-calculated values of the running end tension in a steady oncoming flow within a certain maneuvering area of the ROV. The hydrodynamic characteristics of the promising ROV were determined as a result of virtual blowing of its 3D model, and the mathematical model of the propulsion and steering complex (PSC) was developed in accordance with the used layout scheme and the results of mooring tests of the used propeller. The modeling of the ROV motion was carried out taking into account the influence of cable tension along one of the typical trajectories. The developed mathematical model of the ROV control system allows for more accurate determination of the requirements for the propulsion and power supply system (PSS) of the device at the preliminary design stage. In addition, this model can be used as an element of supporting the operator's activities for the optimal deployment of the underwater tethered system 'vessel - communication cable - ROV'. © 2024 IEEE.

关键词： Remotely operated underwater vehicles

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Towards an Ontology-Based Platform for Integrating Infectious Disease Simulation Models 7th

Towards an Ontology-Based Platform for Integrating Infectiou...

引用

7th EAI international conference on Innovations and Interdisciplinary Solutions for Underserved Areas, InterSol 2024

作者： Cisse, Papa Alioune BP 523 Ziguinchor Senegal

ISBN: (纸本)9783031864926

The control of infectious diseases is a perpetual challenge in public health. The need to understand their complex dynamics and the imperative to develop epidemiological surveillance, control and mitigation strategies often require modeling and numerical simulation activities. However, it should be noted that modeling and simulation of such complex systems requires expert skills in modeling tools and simulation platforms. This is often a stumbling block for practitioners and beginners in the field. In addition, communication between modelers and domain experts can be complicated by differences in the languages and concepts used on both sides. In this paper, we present an ongoing project aimed at providing solutions to these complications in order to facilitate the infectious disease modeling exercise, simplify the model simulation process, foster collaboration between researchers (practitioners and "modelers") and enable reproducibility and reuse of models and model parts. To implement this project, we are setting up a web-based platform for the integration of infectious disease simulation models. The microservices architecture we have proposed for this platform includes a simulation model repository, an ontology for annotating these models, and a set of services enabling autonomous orchestration of simulations by ensuring the selection, comparison, possible composition, formulation and simulation of models in dedicated simulators. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Malaria control

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Attack Model for the Industrial Water Treatment systems 5

Attack Model for the Industrial Water Treatment Systems

引用

5th international conference on control in Technical systems, CTS 2023

作者： Fedorchenko, Elena V. Novikova, Evgenia S. Saenko, Igor B. St. Petersburg Federal Research Center of the Russian Academy of Sciences Laboratory of Computer Security Problems St. Petersburg Russia

ISBN: (纸本)9798350304664

With the increasing level of digitalization of industrial cyber-physical systems, the cyber attack surface is growing and, as a result, the cyber security risks are growing. The compromise of such systems can lead to serious financial and environmental consequences both at the national and global level. The paper solves the problem of attack modeling for the industrial water treatment facilities, taking into account the specifics of the technological process. The developed attack model will be used to generate a dataset to study and research the cyber security of water treatment systems. © 2023 IEEE.

关键词： Cyber Physical System

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CSGNet: A network with attention mechanism for automatic modulation recognition 5

CSGNet: A network with attention mechanism for automatic mod...

引用

5th international conference on Signal Processing and Computer Science, SPCS 2024

作者： Li, Xianyi School of Control Science and Engineering Shandong University Shandong Jinan250002 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

In this paper, a new network called CSGNet is introduced for automatic modulation recognition, designed to improve recognition accuracy in complex electromagnetic environments. This innovative network leverages the strengths of both Convolutional Neural Networks (CNN) and Gate Recurrent Units (GRU) while mitigating their inherent weaknesses. Additionally, it incorporates a Self-Attention mechanism to further enhance its perceptual abilities. The primary advantage of this method is its superior recognition accuracy under low SNR conditions compared to traditional methods. The process starts by extracting basic I/Q data from the RadioML 2018.01a dataset as input. Subsequently, the CSGNet model performs an end-to-end modulation recognition task. The results demonstrate that this method excels at multiple SNR levels, highlighting the significant potential of deep learning in solving automatic modulation recognition challenges. This study underscores the effectiveness of integrating CNN, GRU, and Self-Attention mechanisms in enhancing the robustness and accuracy of modulation recognition systems. Furthermore, it demonstrates how deep learning techniques can be effectively applied to complex signal processing tasks. The findings suggest that CSGNet could be a valuable tool for improving communication systems, especially in challenging environments with low SNR. © 2025 SPIE.

关键词： Modulation Signal to noise ratio Feature extraction Deep learning Matrices Data modeling Machine learning Data processing Neural networks Quadrature amplitude modulation

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Parallel control for Robust Optimal Tracking via Adaptive Dynamic Programming

Parallel Control for Robust Optimal Tracking via Adaptive Dy...

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2023 international Annual conference on complex systems and Intelligent Science, CSIS-IAC 2023

作者： Jiao, Shanshan Wei, Qinglai Institute of Systems Engineering Macau University of Science and Technology China

ISBN: (纸本)9798350309003

This paper attempts to develop a novel robust optimal tracking control method for continuous-time uncertain nonlinear systems via adaptive dynamic programming (ADP). First, a control system for the actual system is established based on the parallel control scheme, so that the general nonlinear system can be transformed into an affine system to introduce the optimal tracking control problem by defining an augmented vector. Then, the main objective of this paper is to investigate the relationship between the solutions of the optimal control problems for the uncertain system and the nominal system. Furthermore, critic neural networks (NNs) are utilized to design the virtual control law to achieve the proposed robust optimal control online. Finally, simulation experiments validate the effectiveness of the proposed method. © 2023 IEEE.

关键词： Dynamic programming

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Solving Inverse Kinematics for 3R Manipulator Using Artificial Neural Networks 20

Solving Inverse Kinematics for 3R Manipulator Using Artifici...

引用

20th international Multi-conference on systems, Signals and Devices, SSD 2023

作者： Esmat, Muhammad Abdel-Nasser, Mohammed Saif, Abdul-Wahid A. Electrical Engineering Department Saudi Arabia Control and Instrumentation Engineering Department Saudi Arabia Interdisciplinary Research Center for Smart Mobility and Logistics Saudi Arabia King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350332568

Manipulator robots are one of the widely famous robotics types. One of the major problems that appear when preparing these robots is the Inverse Kinematic Problem (IKP). Overcoming the IKP in some cases requires solving complex equations, time-consuming, and can lead to singularity solutions. In this paper, a modeling of the forward kinematics for a 3-R manipulator robot was carried out to generate a dataset for supervised learning. Furthermore, a training model for solving the inverse kinematics of this robot with avoiding the singularity points based on Artificial Neural Networks (ANN) is proposed. The reliability of the method was validated by trajectory tracking. The results demonstrate the effectiveness of the robot to track the referenced path successfully with maximum mean absolute error in the X, Y, and Z axes around 1.375 mm. © 2023 IEEE.

关键词： Inverse kinematics

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modeling of Defensive Drone Swarms with NetLogo 18th

Modeling of Defensive Drone Swarms with NetLogo

引用

18th international conference on Mathematical modeling and Simulation of systems, MODS 2023

作者： Kazymyr, Volodymyr Oleksiienko, Petro Chornonoh, Olga Rohovenko, Andrii Chernihiv Polytechnic National University 95 Shevchenka Street Chernihiv14035 Ukraine Institute of Mathematical Machines and Systems Problems of the National Academy of Science Glushkov Prospect 42 Kyiv03187 Ukraine

ISBN: (纸本)9783031673474

The paper presents an innovative approach to the protection of important infrastructure objects from UAV attacks based on the umbrella of defensive drone swarms. United swarm intelligence allows drones that act as autonomous agents of multi-agent system to independently coordinate their activities, eliminating the need for centralized control, that significantly increases the reliability of the defense system. To evaluate the efficiency of such technological solution at the design stage, a NetLogo model of the defensive drone swarm during the mission is developed. In this model, the control program is implemented in accordance with the method of describing control algorithms using control E-networks that can be embedded into control system of drone. The control program for each agent consists of three interrelated levels: reactive level that receiving signals from various sensors and creating control impacts, planning level for calculating target movement parameters and possible actions to intercept, cooperative level that provides data exchange between drones and selection of attacking drones. The model experiments are directed to evaluate the efficiency of targets detection and its destruction with simultaneous monitoring of the target’s presence in the surveillance zone. This demonstrates the potential of the proposed model to evaluate the efficiency of defense systems built on the basis of swarms of drones in rapid response to attacks, as well as its ability to adapt to dynamic changes in the environment. Simulation results allow to establish the perspective of the proposed approach to defense of objects from air attacks using drone swarms. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Multi agent systems

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Adaptive control of Solid-Core Active Magnetic Bearing Based on System Identification Model 26

Adaptive Control of Solid-Core Active Magnetic Bearing Based...

引用

26th international conference on Electrical Machines and systems, ICEMS 2023

作者： Song, Xuetao Deng, Zhiquan Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing China

ISBN: (纸本)9798350317589

The solid-core axial magnetic bearing has simple processing and high strength and is preferred in Magnetically Suspended High-Speed Motor. However, when a time-varying current is applied to the control coil, the solid magnetic bearing will generate an alternating magnetic field causing eddy current effects to incur the amplitude of the bearing capacity decreased and phase lagged, bringing modeling difficulties. In this paper, the model of magnetic bearing through system identification is carried out, and adaptive backstepping control (ABSC) is proposed to solve the problems of force amplitude change and phase hysteresis. Simulation proves the proposed algorithm has more stability and robustness than the PID controller. © 2023 IEEE.

关键词： Backstepping

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Toward a New Multirotor Design With Spatial Configuration and Tilted Rotors

Toward a New Multirotor Design With Spatial Configuration an...

引用

2023 international conference on Advances in Electronics, control and Communication systems, ICAECCS 2023

作者： Ghazali, Mohamed Bouzid, Yasser Belhocine, Mahmoud Derrouaoui, Saddam Hocine Ecole Militaire Polytechnique Bordj El Bahri Complex Systems Control and Simulators Laboratory Algiers Algeria Centre de Développement des Technologies Avancées Cdta Baba Hassen Algiers Algeria Ecole Supérieure Ali Chabati Algiers Algeria

ISBN: (纸本)9781665463102

In recent years, aerial interaction tasks increasingly use UAVs, and because of their intrinsic under-actuation, they are consequently limited in their motion. Therefor, there are three classes of systems to overcome the under-actuation problem such as, the non-flat multirotors, drone with tilted rotors and reconfigurable systems. This paper proposes generic modeling of a multirotor with a non-flat configuration. This model is derived by considering all physical and mechanical constraints. As a result, the body-fixed frame can be placed at any point in the vehicle and the rotors instead with varying tilt angles and arm lengths in any position in space. These specifications give a nonsymmetrical and spatial configuration to the multirotor with fully row rank control allocation matrix. A numerical simulation result was provided to show the effectiveness of our model. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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2023 IEEE 17th international conference on the Experience of Designing and Application of CAD systems, CADSM 2023 - Proceedings

2023 IEEE 17th International Conference on the Experience of...

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17th IEEE international conference on the Experience of Designing and Application of CAD systems, CADSM 2023

ISBN: (纸本)9798350310856

The proceedings contain 45 papers. The topics discussed include: designing the topology of microelectromechanical systems by machine learning methods;development of a remote-control system for a mobile vibration-driven robot;models of recurrent distributions statistical averaging for electronic components with fluctuations;inverse-dynamic neural controller simulation;a method of creating virtual pixels in matrix;the computer modeling of the thermal agent hydrodynamics through the alcohol distillery stillage stationary layer;method for estimating the topological structure of self-organized networks;a new hybrid method for predicting recommendations for collaborative recommender systems;software-defined transmitter to support automatic dependent surveillance-broadcast;deductive matrix synthesis for fault simulation;investigation of response from the micro objects of complex shape irradiated by acoustic wave;outdoor positioning for industrial workplace;a software complex for researching algorithms for working with graphs;and hydrogen adsorption in porous silicon: simulation and control method.

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