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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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Integrating Novel Circuit Design with Optimization Algorithms for Advanced Parameter Identification in PEM Fuel Cells 5th

Integrating Novel Circuit Design with Optimization Algorithm...

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5th international conference on Smart Applications and Data Analysis for Smart Cyber Physical systems

作者： Kourab, Zakaria Taleb, Ismail Ait Tayane, Souad Ennaji, Mohamed Haidoury, Mohamed Hassan II Univ Natl Sch Arts & Crafts Lab Complex Cyber Phys Syst CCPS Casablanca Morocco Moulay Ismail Univ Natl Sch Arts & Crafts Modeling Informat Proc & Control Syst MPICS Meknes Morocco

ISBN: (纸本)9783031770425;9783031770432

This paper investigates the Proton Exchange Membrane (PEM) fuel cell as a potential alternative energy source for applications including transportation and emergency power systems. It introduces a novel circuit model for a PEM fuel cell that can be used to design and analyze fuel-cell power system. An optimization algorithm is used to identify key parameters, not typically found in manufacturers datasheets, for developing a precise and accurate model to predict fuel cell performance. A new algorithm based on differential evolution (DE) is utilized to compute five previously unknown parameters of a PEMFC. In the optimization process, these parameters are treated as decision variables, and the objective is to minimize the sum square error (SSE) between the estimated and the actual measured cell voltage. The SSE achieved by the DE algorithm was found to be 0.313, demonstrating its effectiveness in accurately predicting fuel cell performance. This precision makes DE particularly suitable for the development of digital twins for fuel-cell applications and control systems in the automotive industry. The study underscores the potential of metaheuristic algorithms like DE in predicting fuelcell performance, aiding in the development and commercialization of digital twins within the automotive sector.

关键词： Third Fuel Cell Optimization algorithm differential evolution algorithm sum square error Equivalent circuit Proteus Proton Exchange Membrane

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Limit Behavior of a Semi-Markov Process Depending on a Small Parameter for Telecommunication systems

Limit Behavior of a Semi-Markov Process Depending on a Small...

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international conference on Applied Innovations in IT, ICAIIT 2024

作者： Degtyar, Sergii Kopiika, Oleh Shusharin, Yurii Kyiv National Economic University Named After Vadym Hetman Kyiv Ukraine Institute of Applied Control Systems National Academy of Sciences of Ukraine Kyiv Ukraine

ISBN: (纸本)9783031892950

The limit behavior of a semi-Markov process, depending on a small parameter, is important for the analysis and optimization of telecommunication systems. Semi-Markov processes are an extension of Markov processes that allow modeling systems with preservation of some previous states. Such processes are important, for example, for modeling data transmission over wireless channels or communication networks. The limit behavior of a semi-Markov process is determined by a small parameter, which is usually denoted as Ε (epsilon). Various important characteristics of the system depend on the limit value of Ε, such as the probability of blocking, data transfer rate, average waiting time, etc. Markov renewal theorems are used as analytical tool for studying the limiting behavior of a semi-Markov process that depends on a small parameter Ε>0 at Ε→0,t→∞,Εt→u. This theorem makes it possible to study transient phenomena arising in telecommunication systems, such as the asymptotic behavior of additive functionals from ergodic processes, boundary value problems for random walks and processes with independent increments, branched processes close to critical ones, and others. Analyzing the limit behavior of a semi-Markov process with respect to a small parameter is a valuable tool for understanding and optimizing telecommunication systems, ensuring their reliability, and meeting performance requirements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Data transfer rates

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Computational modeling of Spiking in the Layer 5 Projection Neurons of the Mouse Motor Cortex 5th

Computational Modeling of Spiking in the Layer 5 Projection ...

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5th international conference on Computing and Network Communications, CoCoNet 2023

作者： Rajendran, Arathi Ajith, Navya Nambiar, Aiswarya Chandrabhanu Naldi, Giovanni Diwakar, Shyam Amrita Mind Brain Center Amrita Vishwa Vidyapeetham Amritapuri Campus Clappana P.O. Kerala Kollam690525 India Amrita School of Biotechnology Amrita Vishwa Vidyapeetham Amritapuri Campus Clappana P.O. Kerala Kollam690525 India Department of Environmental Science and Policy Università Degli Studi Di Milano Via C Saldini 50 Milano20133 Italy Department of Electronics and Communication Engineering School of Engineering Amrita Vishwa Vidyapeetham Amritapuri Campus Clappana P.O Kerala Kollam690525 India

ISBN: (纸本)9789819747108

Mathematical models have allowed the reconstruction of realistic behavior of large and complex neurons under various physiological functions. Understanding the electrophysiological behavior regarding neuronal gain, process, and connectivity of such complex pyramidal projection neurons in the motor cortex is essential for unraveling the neural basis of motor control and developing therapies for conditions related to motor dysfunctions. This modeling study analyzed the input/output properties of L5 cortico-striatal projection neurons and their sensitivity to abnormal firing behavior. The study reconstructs the excitability of layer 5 cortico-striatal neurons and suggests how they integrate the inputs temporally matching experimental observations. The study also showed variability in the output patterns in layer 5 cortico-striatal neurons with varying current stimuli. This model predicted that the firing rate is proportional to the delayed input currents, which may affect the neuron’s feature integration property. The modeling methodology showed several single-neuron excitability characteristics relevant to current disease mechanism theories and recognized Parkinson’s disease-associated symptoms. These results help to uncover the sensory integration at the single neuron level and pathophysiology of motor deficit along with other interconnected motor systems in the context of motor control and information processing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Disease control

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Bidirectional Energy Flow in EV-Microgrid Through Genetic Algorithm for PQ Management 4

Bidirectional Energy Flow in EV-Microgrid Through Genetic Al...

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4th IEEE international conference on Applied Electromagnetics, Signal Processing, and Communication, AESPC 2024

作者： Das, Sandip Kumar Swain, Sarat Chandra Dash, Ritesh Jena, Ramakanta Nayak, Byamakesh School of Electrical Engineering KIIT Deemed to Be University Bhubaneswar India School of EEE REVA University Bengaluru India Seemanta Engineering College Baripada India

ISBN: (纸本)9798331528171

The integration of electric vehicles (EVs) into microgrids presents a unique set of opportunities and challenges for modern energy systems. This paper explores the complexities associated with EV charging and discharging, emphasizing the need for advanced optimization techniques to ensure stable and efficient grid operations. The bidirectional energy flow of EVs can enhance microgrid stability and efficiency but introduces challenges such as grid instability, infrastructure demands, economic viability, and battery degradation. To address these issues, we propose the use of Genetic Algorithms (GAs) for optimizing EV charging and discharging patterns. GAs offers a robust method for solving complex optimization problems by balancing grid stability, economic factors, and battery health. Our performance analysis includes power quality assessments during EV charging, revealing significant fluctuations in real and reactive power, which necessitate sophisticated control strategies. We also examine current and voltage variations at the Point of Common Coupling (PCC), highlighting the need for precise monitoring and control to maintain stable grid operations. Furthermore, the Total Harmonic Distortion (THD) analysis indicates substantial harmonic distortion in both voltage and current, underscoring the importance of harmonic mitigation strategies. The findings suggest that combining GAs with robust control systems and investing in infrastructure upgrades can effectively manage the integration of EVs into microgrids. By addressing technical and economic challenges and evolving regulatory frameworks, the potential of EVs can be harnessed to create resilient, efficient, and sustainable energy systems. This paper contributes to the ongoing research and development efforts aimed at advancing the integration of EVs into future smart grids, highlighting the critical role of optimization techniques in achieving these goals. © 2024 IEEE.

关键词： Robust control

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Improved A∗ Algorithm and Bézier Curve Optimization-Based Path Plan for the Landing control of Parafoil

Improved A∗ Algorithm and Bézier Curve Optimization-Based ...

引用

2023 IEEE international conference on Unmanned systems, ICUS 2023

作者： Ma, Dengxin Wang, Xiaotian Chang, Yujia Song, Dalei School of Automation and Electrical Engineering Shenyang Ligong University Shenyang China School of Information Science and Engineering Shenyang University of Technology Shenyang China

ISBN: (纸本)9798350316308

To solve the problems of dynamic path planning in environments with mountain peaks and tall buildings, which parafoils may encounter during landing flights, this paper presents an extended A∗ algorithm. This topic is of practical importance due to its potential applications in various fields related to landing objects in safety-critical areas. To achieve this, the paper proposes a revised heuristic function and utilizes a C2 continuous piecewise Bézier curve for trajectory optimization. Unlike other 2D obstacle avoidance problems, the spiral planning approach is designed to achieve precise landings based on a segmented landing planning strategy, combined with the Particle Swarm Optimization (PSO) algorithm to solve the target parameters. The experimental results demonstrate that obstacle avoidance with high landing accuracy can be achieved for parafoil systems in complex terrain environments. © 2023 IEEE.

关键词： Heuristic algorithms

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Algorithm for Modelling Stochastic systems Using Dynamic Probabilistic Automata

Algorithm for Modelling Stochastic Systems Using Dynamic Pro...

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international Russian Smart Industry conference (SmartIndustryCon)

作者： Maxim A. Komardin Pavel A. Panilov Tatiana Y. Tsibizova Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

This paper presents a novel approach to modeling stochastic systems using Dynamic Probabilistic Automata (DPA), which integrates deterministic and stochastic elements within a unified framework. Traditional methods, such as Markov chains or mass service systems, often struggle with high-dimensional state spaces and complex interactions. DPA overcomes these limitations by enabling flexible modeling of systems with a high degree of uncertainty. It combines probabilistic transitions, deterministic rules, and external influences, making it suitable for diverse applications in biology, economics, physics, and beyond. The proposed methodology supports custom interaction rules, scenario forecasting, and computational optimization. It includes a hierarchical structure that connects stochastic processes, individual object properties, and aggregated meta-states, culminating in a global “world” model. This layered design enables the modeling of complex phenomena, such as rare events, dynamic environmental influences, and high-dimensional interactions. An important feature is DPA's ability to address inverse modeling problems, identifying potential configurations and rules leading to specific outcomes. This has significant implications for decision support systems, optimization tasks, and risk analysis. Future work involves enhancing this framework with big data capabilities, machine learning for parameter calibration, and parallel computing for real-time applications. The flexibility and adaptability of the DPA approach establish it as a powerful tool for advancing our understanding and management of complex systems under uncertainty.

关键词： Adaptation models Uncertainty Inverse problems Computational modeling Heuristic algorithms Stochastic systems Stochastic processes Automata Probabilistic logic complex systems

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Knowledge Management Subsystem of the Intellectual Situational Center

Knowledge Management Subsystem of the Intellectual Situation...

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2022 international conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2022

作者： Simankov, Vladimir S. Buchatskiy, Pavel Yu. Teploukhov, Semen V. Buchatskaya, Victoria V. Kuban State Technological University Department of Computer Technologies and Information Security Krasnodar Russia Adyghe State University Department of Automated Systems of Processing Information and Control Maykop Russia Adyghe State University Department of Applied Mathematics Information Technology and Information Security Maykop Russia

ISBN: (数字)9781665488709

ISBN: (纸本)9781665488709

Within the framework of the situational center, a knowledge management subsystem is identified and considered, which solves the following tasks: identification and accounting for the uncertainty of the initial information, automated selection of mathematical methods for describing systems, assessment and modeling of the situation, taking into account information about the structure of the control object and its functioning at a particular point in time, provides interaction with experts and extracts knowledge from the Internet. The solution of these problems is achieved using separate interconnected modules, which makes it possible to use the situational center in various subject areas, manage complex hierarchical systems, and also make an automated choice of mathematical methods for processing information. © 2022 IEEE.

关键词： Knowledge management

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control of Discrete Chaotic systems with Fractional Order Difference Equations 2

Control of Discrete Chaotic Systems with Fractional Order Di...

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2nd international conference on Power, control and Computing Technologies, ICPC2T 2022

作者： Shukla, M.K. Jain, Jitendra Kumar Lovely Professional University School of Electronics and Electrical Engineering Phagwara India National University of Ireland Department of Electronic Engineering Maynooth Ireland

ISBN: (纸本)9781665458580

Fractional order discrete chaotic systems (FODCS) are one of the recent contributions in the field of nonlinear dynamics and control. control and synchronization of these systems are one of the most researched problems. The paper presents an active control-based controller design technique for the control of a particular class of FODCS. The proposed controller is further employed to address the synchronization between two systems belonging to the similar class. The controllers derived are employed on an example system which is a 3-D Henon map. The simulation results validate the efficacy of the technique proposed here. © 2022 IEEE.

关键词： Computers Simulation Difference equations Computational modeling Power control control systems Mathematical models

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Modular Approach to Hybridization of Heuristic Algorithms for Spatial Optimization of Fire Units Placement

Modular Approach to Hybridization of Heuristic Algorithms fo...

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international conference on control systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)

作者： Oleg Malyutin Renat Khabibulin IT and CM branch Siberian Fire and Rescue Academy of the Ministry of Russian Federation for Civil Defense Zheleznogorsk Russia Educational and Scientific Complex of Automated Systems and Information Technologies State Fire Academy of the Ministry of Russian Federation for Civil Defense Moscow Russia

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

This article discusses a modular approach to hybridize heuristic algorithms for spatial optimization of fire unit placement. It proposes combining different algorithms such as genetic algorithm, simulated annealing algorithm, hill climbing algorithm, and others to effectively solve placement problems for fire units. The authors also explore using the Python programming language to implement these algorithms and present computational experiment results that validate the effectiveness of their proposed methodology. Finally, they suggest potential areas for future research and application of this approach in various fields.

关键词： Automation Heuristic algorithms Computational modeling Simulated annealing control systems Mathematical models Energy efficiency Optimization Python Genetic algorithms

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2nd international conference on Mechanical Automation and Engineering Materials, MAEM 2023

2nd International Conference on Mechanical Automation and En...

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2nd international conference on Mechanical Automation and Engineering Materials, MAEM 2023

The proceedings contain 16 papers. The topics discussed include: development and application of the 2×350kn dual parallel excitation horizontal vibration test system;device fault diagnosis method based on digital twin server;development of methane leakage telemetry system based on tunable diode laser absorption spectroscopy;solution of hydrodynamic problems by complex modeling methods;equipment layout modeling method for forging lines based on equipment profile layering method;research on movement law of the deployment process for submerged mooring system;3D ice-based fixturing system for thin-walled parts machining;finite-time control based on RBF neural network for quadrotor UAVs with varied mass load;characterization of impact resistance of composite reinforced by hybridized carbon-flax fibers in polyfurfuryl alcohol resin;determination of the ignorable boundary condition and standard sample for a novel in-situ dynamic mechanical analysis method on soft matter;and research on dynamic response and deformation evolution of a rectangular recycled aggregate concrete-filled steel tubular column under small-equivalent loads and weak disturbances.

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