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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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A dynamic and prospective model to predict and prevent errors in production processes 20

A dynamic and prospective model to predict and prevent error...

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IEEE 20th international conference on Automation Science and Engineering (CASE)

作者： Fattoruso, Gerarda Squillante, Massimo Violi, Antonio Univ Foggia Dept Econ Management & Terr Via Da Zara 11 I-71121 Foggia Italy Univ Sannio Dept Law Econ Management & Quantitat Methods Piazza Arechi 2 I-82100 Benevento Italy

ISBN: (纸本)9798350358513;9798350358520

In the industrial production field, a highly competitive sector, companies are increasingly facing complex decisionmaking problems that require the use of effective decision support tools. In this research area, multi-criteria decisionmaking (MCDM) methods are particularly useful as an effective tool to support decision makers (DMs) in critical decisionmaking processes ([1]). Our approach aims to propose the integration of a dynamic and prospective technique, already proposed in the literature, with a scenario analysis and a knapsack-like mixed-integer model for the optimal selection of processes on which to operate in order to reduce the expected impact of errors. In particular, the work analyzes the dynamic and prospective model formulated by [2] who proposes the Parsimonious AHP method ([3]) in a dynamic and prospective way. Furthermore, this work proposes the optimal selection of interventions on processes, for which the prediction of errors and their impact is more critical. The proposed approach has been tested on historical data from an international company in manufacturing sector ([2]). The results demonstrate that the adoption of a dynamic and prospective MCDM model allows us to provide accurate forecasts on the possible future rankings of errors in production processes since, through a feedback system deriving from past information, the ordering of errors is continuously updated. Moreover, the integration of forecasts with an optimal selection model allows to define the intervention planning that better meets the DM requirements. The model we propose can be used at a management level as a complete decision support tool for choices relating to the planning and control of production processes that can be easily implemented in companies' Internet of Thinks (IoT) systems ([4]).

关键词： Production control

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23rd international conference on Business Informatics Research, BIR 2024

23rd International Conference on Business Informatics Resear...

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23rd international conference on Business Informatics Research, BIR 2024

ISBN: (纸本)9783031713323

The proceedings contain 16 papers. The special focus in this conference is on Business Informatics Research. The topics include: LLM-Assistance for Quality control of LLM Output;unlocking Viewer Insights in Linear Television: A Machine Learning Approach;Comparison of AI-Based Document Classification Platforms;towards Model-driven Enhancement of Safety in Healthcare Robot Interactions;modelling of Organisational Rules in complex Adaptive systems: a Systematic Mapping Study;towards Method Support for Variability Modelling in Enterprise Architecture Management;cross-section of Business Intelligence Projects: Information systems Success Perspective;incorporating Ethical Aspects in Information systems Requirements Engineering;suitability of Business Process modeling Methods for Requirements Elicitation;software Architectures and the Use of Knowledge Graphs to Support Their Design;Technical Debt – Insights Into a Manufacturing SME Case Study;discovery Rules for Depicting Tacit Knowledge Usage and Management in Fractal Enterprise Models;DDIs-Graph: an Approach to Identify Drug-Drug Interactions and Recommend Alternative Drugs;exploring the Information Flow and the Grounding of Digital Product Passports Using the Work-Oriented Approach, an Industrial Case Study.

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A Co-simulation Framework for Communication and control in Autonomous Multi-Robot systems

A Co-simulation Framework for Communication and Control in A...

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IEEE/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Acharya, Srikrishna Bharatheesha, Mukunda Simmhan, Yogesh Amrutur, Bharadwaj IISc Robert Bosch Ctr Cyber Phys Syst RBCCPS Bangalore Karnataka India IISc AI & Robot Technol Pk ARTPARK RBCCPS Bangalore Karnataka India IISc Fac Dept Computat & Data Sci CDS Bangalore Karnataka India IISc RBCCPS Bangalore Karnataka India IISc Dept ECE Bangalore Karnataka India IISc Dept RBCCPS Bangalore Karnataka India IISc ARTPARK Bangalore Karnataka India

ISBN: (纸本)9781665491907

Multi-Robot systems (MRS) are transforming diverse domains like logistics, cargo management, and agriculture. However, ensuring that the behavior is correct under various network conditions within such complex environments is challenging, and meeting the desired automation goals is difficult. We propose the CORNET 2.0 co-simulation framework to jointly and accurately simulate multi-agent robotic systems within physical environments and the communication network models within such environments. Our modular framework allows diverse robot and network models to seamlessly integrate to simulate the robot's autonomy, physical space, and network features, such as latency, throughput, and loss intrinsic to the network topology and communication technology. A key novelty of CORNET 2.0 is its accurate synchronizing of mobility and time, which ensures that the physical location of a robot at a point in time, and the network properties and packets that flow from that location, are aligned. This is vital to model and validate MRS coordination algorithms that rely on network interactions. We provide a detailed evaluation of CORNET 2.0 in modeling real-world MRS use cases, such as leader-follower and warehouse environments, that help highlights the benefits.

关键词： Multipurpose robots

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Generalizing the Antiviral Immune Response Model to Account for Adsorption, Diffusion Perturbations, and Temperature 6

Generalizing the Antiviral Immune Response Model to Account ...

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6th international conference on Informatics and Data-Driven Medicine (IDDM)

作者： Baranovsky, Serhii Bomba, Andrii Pryshchepa, Oksana Natl Univ Water & Environm Engn 11 Soborna Str UA-33028 Rivne Ukraine

The antiviral immune response model has been generalized to take into account the effect of adsorption therapy on the development of disease process under conditions of small diffuse scattering of acting factors based on the synthesis of perturbation theory and modeling ideas of the adsorption mass transfer process. A computational technology of step-by-step asymptotic approximation of the solution to the corresponding model problem with time delay as a perturbation of solutions to degenerate problems without delay has been developed. The numerical experiment results demonstrate a predictive decrease in the concentration of viral elements in the target organ through their neutralization into the organism by adsorbents introduced. It is noted that the efficiency of adsorption drugs depends, in particular, on the moment of time for their introduction, which must be considered when making decisions on the formation of complex treatment programs using appropriate therapy.

关键词： Antiviral immune response model adsorption dynamic systems with delay asymptotic methods singularly perturbed problems

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Research on Online Flight Path Optimization Algorithm of Aircraft Based on Convex Optimization Method

Research on Online Flight Path Optimization Algorithm of Air...

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international conference on Autonomous Unmanned systems (ICAUS)

作者： Zhang, JunJie Cheng, Xu Hao, Wang Ying, Hu Ming, Feng Yi Sci & Technol Complex Syst Control & Intelligent Beijing 10074 Peoples R China Beijing Electromech Engn Inst Beijing 10074 Peoples R China

ISBN: (纸本)9789819904815;9789819904792;9789819904785

Flight path optimization is to design an optimal flight path that minimizes an objective function under certain constraints. Because of the existence of many constraints, the objective function is non-convex function and most of the constraints are non-convex constraints, the flight path optimization problem of the aircraft is non-convex optimization problem with high constraints, and it is very difficult to solve the optimal control problem. In this paper, a convex optimization method is used to solve the flight path optimization problem of aircraft. The original non-convex optimization problem is transformed into a convex optimization problem after convex optimization treatment, which has the potential to solve complex optimization problems online and in real time. Simulation results show that the optimal solution can be obtained in a short time by using this method to solve the flight path optimization problem of aircraft. Compared with other optimization algorithms, the optimization time can be increased by more than 90%, which has good adaptability and high engineering application value.

关键词： Path optimization Convex optimization Online

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ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric Vehicle Routing problems 27

ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric...

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27th IEEE international conference on Intelligent Transportation systems, ITSC 2024

作者： Al-Nassar, Suzan Van Stein, Niki Fan, Yingjie

ISBN: (纸本)9798331505929

This study introduces ACO-NSGAII, a hybrid metaheuristic algorithm that integrates ant colony optimization (ACO) and non-dominated sorting genetic algorithm II (NSGA-II), to address the bi-objective Electric Vehicle Routing Problem with Time Windows (EVRPTW). The algorithm aims to minimize both the overall travel distances and the number of vehicles required in last-mile delivery. Our approach starts with ACO to generate an initial solution focusing on distance mini-mization, followed by NSGA-II to optimize the dual objectives efficiently. Extensive computational experiments demonstrate that ACO-NSGAII significantly outperforms existing methods like Random-NSGAII and NN-NSGAII (an integration of near-est neighbor and NSGA-II), offering promising solutions for sustainable urban logistics. The findings contribute valuable insights into the trade-offs between minimizing distance and vehicle usage. Moreover, our research extensively studies the effectiveness of ACO-NSGAII for complex routing problems and highlights the impact of search budget allocation on the convergence of ACO-NSGAII. © 2024 IEEE.

关键词： Budget control

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Reservoir modeling of distributed-parameter systems 17

Reservoir modeling of distributed-parameter systems

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17th international conference on control, Automation, Robotics and Vision (ICARCV)

作者： Patan, Krzysztof Patan, Maciej Univ Zielona Gora Inst Control & Computat Engn Zielona Gora Poland

ISBN: (纸本)9781665476874

We investigate possibilities of effective modeling the distributed-parameter systems using reservoir computing in such a way as to properly reconstruct the spatio-temporal dynamics defined in a given multidimensional domain. The setting examined here corresponds to situations where the locations of sensors and actuators are fixed allowing to delegate the complex system dynamics to a reservoir-based neural network which is trained based on the available measurement data. The proposed approach consists in imposing a proper partitioning of the spatial domain, then a specific structure of an echo state network is used to form the reservoir capable to follow not only temporal but also spatial dynamics of the system. As a result, an extremely effective approximator of the distributed system is obtained with relatively simple training procedure to deliver readout of the system state. Contrary to the classical numerical methods for solving distributed-parameter systems characterized by a large-scale we are able to reduce the dimesionality and computational-cost useful for state prediction and/or estimation in the real-time. The performance of the proposed approach is evaluated by numerical experiments on the transient displacements of the clamped plate.

关键词： Numerical methods

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Generating Hypotheses Based on the Table Constraint Satisfaction Methods in JSM-systems 1

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8th international Scientific conference on Intelligent Information Technologies for Industry, IITI 2024

作者： Zuenko, Alexander Zuenko, Olga Kola Science Centre of the Russian Academy of Sciences Institute for Informatics and Mathematical Modelling Apatity Russia

ISBN: (数字)9783031776885

ISBN: (纸本)9783031776878

It is known that constraint satisfaction methods are successfully used to solve many complex combinatorial search problems. As their distinctive feature, it should be noted the widespread use of logical inference procedures on constraints that implement the reduction of the search space. The article continues a series of works that deal with the development of table constraint satisfaction methods to solve data mining problems. Previously, the author’s methods of inference on table constraints for clustering problems, discovering patterns of the required type, and searching for association rules were presented. In this work, using the example of solving the binary classification problem, the possibilities of applying the author’s approach to modeling JSM-reasoning are considered for the first time. The article considers the case when the properties of objects are atomic and have no internal structure. Within the framework of the approach, positive and negative examples are presented using specialized table constraints, namely compressed tables of the D-type, and the process of generating JSM-hypotheses is performed using the rules developed for reducing the search space. The proposed method of generating JSM-hypotheses makes it possible to effectively solve high-dimensional problems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Constraint satisfaction problems

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A Review of Methods of Battlefield Target Combat Intention Recognition

A Review of Methods of Battlefield Target Combat Intention R...

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international conference on Autonomous Unmanned systems (ICAUS)

作者： Xu, Hongfeng Zhao, Jiajia Chen, Linxiu Tan, Wei Zhang, Hang Sci & Technol Complex Syst Control & Intelligent Beijing 100074 Peoples R China

ISBN: (纸本)9789819904815;9789819904792;9789819904785

In the course of military operations, the battlefield situation is changing rapidly and the aircraft is fleeting. How to quickly and accurately identify the enemy's combat intention is one of the important preconditions to ensure the commander to make a correct command decision, so as to obtain the battlefield initiative. Aiming at target battlefield intention recognition with the uncertainty of the strong and the characteristics of high accuracy requirements, in this paper, the current main battlefield target combat intention recognition method were summarized, analyzed their respective advantages and disadvantages, and points out the problems existing in the current research methods, for the next research direction was prospected.

关键词： Intent recognition Situational understanding

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General Equilibrium Models of Azerbaijan Economy: Conceptual View and Multiplier Effects 5

General Equilibrium Models of Azerbaijan Economy: Conceptual...

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5th international conference on problems of Cybernetics and Informatics, PCI 2023

作者： Hasanli, Yadulla Rahimli, Gunay Scientific Research Institute of Economic Studies Unec Laboratory of Modeling of Socioeconomic Processes Institute of Control Systems Baku Azerbaijan

ISBN: (纸本)9798350319064

This article examines various types of general equilibrium models and provides information on the current state of general equilibrium models built in Azerbaijan. Additionally, current limitations and options to tackle them are addressed to continue building general equilibrium models in this country. Then, the article estimates the effects of investments in different sectors using input-output model and social accounting matrix based multiplier model in case of Azerbaijan, and the results of two models are compared. The article is of practical importance for researchers and decision-makers by stimulating of constructing these models and of scientific importance by considering problems related using these models for countries with similar economies. © 2023 IEEE.

关键词： Stochastic models

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