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

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Reach on Access control Technology of Geomagnetic Observation Network System Based on Fog Computing

Reach on Access Control Technology of Geomagnetic Observatio...

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Mobile Internet, Cloud Computing and Information Security (MICCIS), international conference on

作者： Luqiang Sun Lei Liu Chaoqun Ma Hong Zhu Tianjin Seismic Station Tianjin Earthquake Agency Tianjin China Department of Electronic and Communication Tianjin Electronic Information College Tianjin China Earthquake Emergency Information Center Tianjin Earthquake Agency Tianjin China

ISBN: (数字)9798350389906

ISBN: (纸本)9798350389913

In recent years, with the development of cloud computing and Internet of Things technology, earthquake observation technology has made tremendous progress. Tianjin earthquake agency developed a low-cost local magnetic field observation system based on cloud architecture to carry high-density deployed sensors. With the increasing deployment of sensors and the richness of application scenarios, existing access control models couldn't meet the needs of actual business development. The original access control technology was based on physical network security protocols and IoT device security chips. Although it could eliminate some security risks during the access process, there were still shortcomings that couldn't be well adapted to the needs of large-scale IoT device deployment environments. However, using complex access control models may result in neglecting the low local computing power of IoT geomagnetic field observation equipment. In order to solve the above problems, the project team conducted research and analysis on access control between geomagnetic observation devices based on fog computing and combined with blockchain technology. The IoT access control model suitable for geomagnetic observation network systems was designed based on research results. This model uses fog node agents to place the main work on the blockchain for completion and solve the problem of low computing power in some IoT devices. Through smart contracts, the model has achieved control over device access permissions, it provided an effective and secure method for IoT access control.

关键词： Access control Cloud computing Computational modeling Biological system modeling Smart contracts Blockchains Internet of Things

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Research on Motion control of Wheel-Legged Robot Based on ASMC and LQR

Research on Motion Control of Wheel-Legged Robot Based on AS...

引用

IEEE international conference on control Science and systems Engineering (CCSSE)

作者： Yong Ding Yong Wang Yi Wang Ke Wu Department of Automation University of Science and Technology of China Hefei China

ISBN: (数字)9798331517199

ISBN: (纸本)9798331517205

Wheel-legged robots combine the high-speed movement of wheeled robots with the superior obstacle-navigation abilities of legged robots. To enhance the robot's resilience against disturbances and improve its ability to overcome obstacles, we developed a control scheme that decouples the control into two parts: posture control and balance control. First, the robot's dynamics were modeled using the Euler-Lagrange method. To manage external disturbances, an Adaptive Sliding Mode controller (ASMC) was designed to handle posture control. For balance control, a Linear Quadratic Regulator (LQR) was implemented to solve the Riccati equation in real-time, generating the necessary control torques to stabilize the robot. By combining these two control strategies, we present a framework that significantly improves the robot's mobility. Furthermore, tests conducted on a physical prototype demonstrated the effectiveness of the algorithm and the robot's disturbance rejection capability. The results confirm that the control scheme, which integrates ASMC and LQR, allows the wheel-legged robot to execute complex maneuvers and traverse uneven terrain with ease.

关键词： Legged locomotion Tracking Robot vision systems Riccati equations systems modeling systems engineering and theory Sensor systems Safety Sensors Robots

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international conference on Applied Mathematics, modeling and Computational Science, AMMCS 2019

International Conference on Applied Mathematics, Modeling an...

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international conference on Applied Mathematics, modeling and Computational Science, AMMCS 2019

ISBN: (纸本)9783030635909

The proceedings contain 68 papers. The special focus in this conference is on Applied Mathematics, modeling and Computational Science. The topics include: Covering Large complex Networks by Cliques—A Sparse Matrix Approach;comparing Regularization Techniques Applied to a Perceptron;key Performance Indicators and Individual Factors on Penalty Kicks;sparse Covariance and Precision Random Design Regression;applying Neural Networks to a Fractal Inverse Problem;solving Parameter Identification problems using the Collage Distance and Entropy;mean-Square Stability of Stochastic System with Impulse and Unbounded Delay;BOLD.R: A Software Package to Interface with BOLD Through R;analysis of Cortical Spreading Depression in Brain with Multiscale Mathematical Models;spontaneous Symmetry-Breaking in Deterministic Queueing Models with Delayed Information;impulsive Consensus of complex-Valued Multi-agent systems with Hybrid Protocols;input-to-State Stability for Delayed Hybrid systems and H∞ control;impulsive Distance-Based Formation Tracking control of Multi-agent systems;exponential Stabilization for Markov Jump Neural Networks with Additive Time-Varying Delays via Event-Triggered Impulsive control;development of a Lattice Boltzmann Model for the Solution of Partial Differential Equations, A Performance Comparison Study with that of the Finite Difference Method;Using Shooting Approaches to Generate Initial Guesses for ODE Parameter Estimation;a Computational Study for Solving Inverse problems for Mixed Variational Equations on Perforated Domains;bacoli_py—A Python Package for the Error controlled Numerical Solution of 1D Time-Dependent PDEs;solving Cardiac Bidomain problems with B-spline Adaptive Collocation;a Computational Comparison of Three Methods for Solving a 1D Boundary Value Inverse Problem;algebraic Structure of the Varikon Box;approximating Dispersive Materials with Parameter Distributions in the Lorentz Model.

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control of Chaos in Fractional Computer Virus Model

Control of Chaos in Fractional Computer Virus Model

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Computational Intelligence Approaches and Applications (ICCIAA), international conference on

作者： Jamal Oudetallah Imane Zouak Wasim Audeh Adel Ouannas Amina-Aicha Khennaoui Iqbal M. Batiha Shaher Momani Department of Mathematics University of Petra Amman Jordan Department of Mathematics and Informatics University of Larbi Ben M'hidi Oum El Bouaghi Algeria NTIC Faculty University of Constantine 2 Constantine Algeria Department of Mathematics Al Zaytoonah University of Jordan Amman Jordan Nonlinear Dynamics Research Center (NDRC) Ajman University Ajman UAE Department of Mathematics University of Jordan Amman Jordan

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

This paper investigates the control of fractional discrete computer virus model. By employing fractional-order difference equations, we capture the complex dynamics and long- term memory effects inherent in virus propagation. A novel control strategy is proposed to stabilize the system and suppress virus outbreaks. The stability analysis of the controlled system is conducted. Numerical simulations are presented to validate the effectiveness of the proposed control approach. The results underscore the importance of control in managing fractional-order systems and highlight its potential applications in cyber security and other fields requiring precise regulation of complex dynamics.

关键词： Computer viruses Computational modeling Difference equations Numerical simulation Stability analysis Regulation Mathematical models Numerical models control theory Viruses (medical)

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Closed-Loop Predictive control for Adaptive Optics via Neural Networks

Closed-Loop Predictive Control for Adaptive Optics via Neura...

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IEEE international conference on systems, Man and Cybernetics

作者： Haining Hu Qianchong Sun Yuchen Hua Jie Tan Xiaoguang Ren Rongkai Zhang Xin Liu Academy of Military Sciences Beijing China

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Wavefront sensor-less adaptive optics (WFS-less AO) systems have garnered considerable interest in recent years due to their compact architecture and extensive applicability. However, most algorithms developed for adaptive optics systems predominately rely on conventional control methodologies, which often take an unexpectedly prolonged period to converge and severely hinder the feasibility of practical applications, especially in scenarios where rapid environmental fluctuations necessitate real-time control capabilities. Therefore, we propose an efficient closed-loop wavefront reconstruction method based on a novel forward prediction paradigm. The method leverages information from the current control objective, the wavefront phase, and the previous control signals (typically the voltages applied to deformable mirrors) to predict wavefront distortions and implement anticipatory control actions accordingly. Experimental results demonstrate that, compared to most conventional techniques, our method can reduce the post-control RMS wavefront aberration by nearly one-third while exhibiting robustness to different types of turbulence and showing promising potential for complex multi-layer turbulence scenarios.

关键词： Atmospheric modeling Neural networks Optical distortion Predictive models Adaptive optics Robustness Delays Mirrors Voltage control Predictive control

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Distributed Urban Road Network Signal Coordination control Method Based on Game Theory and Multi-Agent Reinforcement Learning

Distributed Urban Road Network Signal Coordination Control M...

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Information systems and Computing Technology (ISCTech), international conference on

作者： Shuchen Liu Yaoxuan Feng Ningning Ren Shandong Institute of Commerce and Technology Jinan China Shandong University of Finance and Economics Jinan China

ISBN: (数字)9798350379860

ISBN: (纸本)9798350379877

In order to solve the problems of low efficiency and difficult practical application of the centralized method in the coordinated control of urban road network signals, this paper proposes a game-based multi-intersection cooperative control method. By constructing a distributed game model, the signal control between intersections is regarded as a game relationship, and the Nash equilibrium solution is solved by using a mixed strategy game, and the signal control strategies of each intersection are obtained. At the same time, combined with the multi-agent reinforcement learning framework, Nash Q-learning is used to update the benefit matrix to realize the learning strategy of the agent. Simulation results show that the proposed method can significantly reduce the average delay and waiting time under low traffic demand [1], and outperforms single-agent control under high traffic demand, effectively avoiding traffic congestion and reducing network delay.

关键词： Computers Q-learning Roads Simulation Computational modeling Games Nash equilibrium Delays Traffic congestion Information systems

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Dual Quaternion control of UAVs with Cable-suspended Load

Dual Quaternion Control of UAVs with Cable-suspended Load

引用

IEEE international conference on Robotics and Automation (ICRA)

作者： Yuxia Yuan Markus Ryll Autonomous Aerial Systems School of Engineering and Design Technical University of Munich Ottobrunn Germany Munich Institute of Robotics and Machine Intelligence (MIRMI) and Autonomous Aerial Systems School of Engineering and Design Technical University of Munich Ottobrunn Germany

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

modeling the kinematics and dynamics of robotics systems with suspended loads using dual quaternions has not been explored so far. This paper introduces a new innovative control strategy using dual quaternions for UAVs with cable-suspended loads, focusing on the sling load lifting and tracking problems. By utilizing the mathematical efficiency and compactness of dual quaternions, a unified representation of the UAV and its suspended load’s dynamics and kinematics is achieved, facilitating the realization of load lifting and trajectory tracking. The simulation results have tested the proposed strategy’s accuracy, efficiency, and robustness. This study makes a substantial contribution to present this novel control strategy that harnesses the benefits of dual quaternions for cargo UAVs. Our work also holds promise for inspiring future innovations in under-actuated systems control using dual quaternions.

关键词： Technological innovation Uncertainty Trajectory tracking Quaternions Simulation Kinematics Autonomous aerial vehicles

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Power System Network Modelling to Predict Inter-area Low Frequency Oscillations

Power System Network Modelling to Predict Inter-area Low Fre...

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modeling, Simulation & Intelligent Computing (MoSICom), international conference on

作者： Hemang Thakkar Vengala Reddy Palleti Gomathi Bhavani Rajagopalan Energy Electrical Projects Emirates Global Aluminium Dubai United Arab Emirate Operations – Control Room Emirates Global Aluminium Dubai United Arab Emirate Department of Electrical and Electronics Engineering BITS Pilani Dubai Campus Dubai United Arab Emirate

ISBN: (数字)9798331533311

ISBN: (纸本)9798331533328

This paper highlights the importance of accurately modeling power system network elements and controls using analytical software tools to effectively predict underlying network security issues, particularly under stressed system *** major network events like faults, interconnection trips, bulk load disconnections, and large generating unit trips under normal operating conditions can be analyzed with predictable impacts on system security, occurrences like small signal stability or low frequency oscillations may get overlooked unless highly degraded network states are accurately predicted and modeled in the software. This is especially pertinent for large power systems with multiple nodes, multiple generation sources, and high-impedance interconnectors that create significant electrical distances between power system nodes. Similarly, modelling of accurate controls to be implemented as mitigation measures are crucial to ensure power system security from these undetected *** paper presents a case study using power system analysis software tool – Cyme for a large industrial power system network of an Aluminium smelter. The results of the study underscore the importance of precise network element modeling. The results indicate that using simplified data may not be able to highlight the real problems related to inter-area oscillations, while the same could be clearly detected by accurately modeling the systems representing the degraded state of network with tested control parameters. Such accurate modeling assists system operators in avoiding specific operational modes and aids control engineers in deriving optimal control parameters to meet network security requirements. Such accurate prediction of the underlying network issues immensely improves overall Security of Supply (SoS) of an industrial power system.

关键词： Analytical models Industrial power systems Accuracy Computational modeling Power system stability Predictive models Network security Software tools Oscillators Load modeling

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Representation of Power System Load control Instruments in the Unit Commitment Model with Cyclic Horizon of Forecasting 8

Representation of Power System Load Control Instruments in t...

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8th IEEE international conference on Energy Smart systems, ESS 2022

作者： Saukh, Sergii Borysenko, Andriy Pukhov Institute for Modelling in Energy Engineering Department of Mathematical and Econometric Modelling Kyiv Ukraine

ISBN: (数字)9798350334418

ISBN: (纸本)9798350399202

Well-known Unit Commitment (UC) models of loading generating units of power systems have a common feature: they are all determined on the basis of linear time, where there are past, current and future periods. UC models are 'tied' to the initial conditions and, therefore, cannot cover long-term forecasting horizon due to the excessive computational complexity of algorithms for solving model problems of large-scale integer programming. To eliminate such an insurmountable limitation in the application of UC models, the UC model of loading generating units on the cyclic forecasting horizon (UCC-model) is used. The UCC-model reproduces units loading modes on a cyclical weekly forecast horizon and does not require initial conditions, as it establishes a relationship between the states of generating units at the end and beginning of the forecast horizon. The UCC-model presents a detailed description of the operation of electricity storage systems, taking into account the placement of primary and secondary reserves. Comprehensive consideration of the maneuverability of traditional generation technologies in combination with energy storage systems and opportunities for participation of RES and consumers in load regulation significantly improve the quality of modeling modes of generating equipment in long-term development models. The use of the UCC-model in the tasks of long-term planning of generation development allows to adequately represent the modes of operation of generating equipment and the distribution of reserves in the power system. The use of the UCC-model in the tasks of short-term dispatch control of power systems allows reproducing the features of the distribution of reserves in the electricity storage systems, demand management and distributed generation. © 2022 IEEE.

关键词： Integer programming

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Isolated zones and granulation of complex network systems 12

Isolated zones and granulation of complex network systems

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12th IEEE international conference on Electronics and Information Technologies, ELIT 2021

作者： Polishchuk, Olexandr Laboratory of Modeling and Optimization of Complex Systems Pidstryhach Institute for Applied Problems of Mechanics and Mathematics National Academy of Sciences of Ukraine Lviv Ukraine

ISBN: (纸本)9781665442961

The problem of blocking certain areas of network systems and their boundary case, which is the granulation of network to a set of isolated zones, is investigated in the article. The losses that await the system due to blocking of its separate components are determined, and method for finding alternative ways of flow motion bypassing the isolated zone of network are proposed. The granulation process of the network system is reflected as a temporal network and the losses that await the system during the deployment of such processes are calculated. © 2021 IEEE.

关键词： complex networks

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