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Matrix Replication in Combinatorial problems 4

Matrix Replication in Combinatorial Problems

引用

4th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Podvalny, Semen Vasiljev, Eugeny Voronezh State Technical University Department of Automated and Computing Systems Voronezh Russia Voronezh State Technical University Department of Electric Drive Automation and Control in Technical Systems Voronezh Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

The paper is devoted to applied methods for finding the global extremum in high-dimensional combinatorial problems. It is stated that the solution of these problems, for example, in the case of automated design decision-making, is reduced to solving an NP-complete optimization problem. It is assumed that the low efficiency of evolutionary and metaheuristic algorithms for solving this problem is caused by the fact that the goal function's global extremum is not accompanied by a trail of local extrema, but is located in isolation. To overcome this difficulty, it is proposed to introduce into the evolutionary search algorithm the mechanism of matrix replication, which explains well the evolutionary processes at the prebiological stage of the life's origin. The applied properties of the matrix replication mechanism are formulated, which are subject to algorithmization. Procedures for a genetic algorithm with matrix replication have been developed, various methods of matrix formation have been studied, and practical recommendations for choosing their number and size have been given. It is shown that the introduction of the matrix replication mechanism into the search algorithm makes it possible to split the original combinatorial problem into a number of subproblems of smaller dimension. It is substantiated that an independent solution of each subproblem with a fixed matrix increases the probability of finding a global extremum. A practical example of solving the problem of finding the optimal route for a cutting tool is given. The high efficiency of the proposed method in finding the global combinatorial extremum is confirmed. © 2022 IEEE.

关键词： Genetic algorithms

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Adaptive Design of a Cyber-Physical System for Industrial Risk Management Decision Support 17

Adaptive Design of a Cyber-Physical System for Industrial Ri...

引用

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

作者： Skulimowski, Andrzej M. J. Lydek, Pawel AGH Univ Sci & Technol Decis Sci Lab PL-30059 Krakow Poland Progress & Business Fdn Int Ctr Decis Sci & Forecasting PL-30048 Krakow Poland AGH Univ Sci & Technol Decis Sci Lab Chair Automat Control & Robot PL-30059 Krakow Poland

ISBN: (纸本)9781665476874

This article presents an integrated design of intelligent decision support systems (DSSs) for industrial risk management. The need for this class of systems has been necessitated by resilience building and threat response planning problems faced by complex industrial installations in energy and mining sectors. The proposed DSS software architecture is AI-based and applies causal and anticipatory networks, multi-criteria analysis, information fusion and knowledge engineering techniques. The use of AI-tools follows the AI-alignment paradigm, where AI evolution provides clues regarding the most suitable techniques to solve anticipated industrial safety problems in different time scales. We propose a general scheme of industrial risk management which includes threats, sensors, information flows, and decision-making models. This scheme is complemented by the risk optimization module, which selects the actions and actuators to implement them. Signals received from sensors are fused and confronted with threat management scenarios contained in the knowledge base. The recommendations concerning prevention, protection, and threat mitigation measures are generated by the DSS and conveyed to human decision makers for approval. Selected actions can also be autonomously initiated. Previous activity assessments result on an improved configuration of sensors and actuators, as well as more effective first responder actions. Threat and risk management modules of the DSS are linked by a sequential machine learning procedure, so that the results of prior decisions can be used to learn managerial preferences and parameters of risk mitigating scenarios.

关键词： Cyber-physical systems intelligent decision support industrial risk management multicriteria analysis combinatorial optimization information fusion open-pit mining

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Fuel Cell System Operation as a Static Synchronous Series Compensator for Implementing Power Flow control

Fuel Cell System Operation as a Static Synchronous Series Co...

引用

2023 IEEE international conference on Energy Technologies for Future Grids, ETFG 2023

作者： Makineni, Rammohan Rao Agalgaonkar, Ashish P. Sutanto, Danny Muttaqi, Kashem M. Islam, Md. Rabiul University of Wollongong Faculty of Engineering and Information Sciences NSW2522 Australia

ISBN: (纸本)9781665471640

Due to the advancements in technology, the demand for electric power keeps on increasing, which further leads to voltage stability problems. Another undesirable effect is an increase in the transmission line losses in a heavily loaded transmission network. Furthermore, it alters the active and reactive power flows in the line. One of the solutions to this problem is the effective implementation of flexible AC transmission systems (FACTS) devices. These devices can control power flow in the transmission system to improve asset utilization. In this paper, the modeling and design of the hydrogen fuel cell system-based static synchronous series compensator (SSSC) is developed for regulating the power flow in the transmission line. To validate the proposed work, a two-bus system with different configurations is designed and simulated with and without a compensator in a MATLAB/Simulink platform. The simulated results comply and validate the theoretical development of fuel cell-based SSSC proposed in this paper. © 2023 IEEE.

关键词： PEMFC power converters power flow SSSC

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24th international conference on Principles and Practice of Multi-Agent systems, PRIMA 2020

24th International Conference on Principles and Practice of ...

引用

24th international conference on Principles and Practice of Multi-Agent systems, PRIMA 2020

ISBN: (纸本)9783031212024

The proceedings contain 47 papers. The special focus in this conference is on Principles and Practice of Multi-Agent systems. The topics include: Assume-Guarantee Verification of Strategic Ability;sample complexity of Learning Multi-value Opinions in Social Networks;a Hybrid Model of Traffic Assignment and control for Autonomous Vehicles;MTIRL: Multi-trainer Interactive Reinforcement Learning System;action Languages Based Actual Causality in Decision Making Contexts;goal-Oriented Coordination with Cumulative Goals;Optimal Parameter Selection Using Explainable AI for Time-Series Anomaly Detection;does Order Simultaneity Affect the Data Mining Task in Financial Markets? – Effect Analysis of Order Simultaneity Using Artificial Market;fine-Grained Prediction and control of Covid-19 Pandemic in a City: Application to Post-Initial Stages;explanation-Based Negotiation Protocol for Nutrition Virtual Coaching;preference Aggregation Mechanisms for a Tourism-Oriented Bayesian Recommender;weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness;learning to Classify Logical Formulas Based on Their Semantic Similarity;time Series Predictive Models for Opponent Behavior modeling in Bilateral Negotiations;An MCTS-Based Algorithm to Solve Sequential CFGs on Valuation Structures;the FastMap Pipeline for Facility Location problems;an Axiomatic Approach to Formalized Responsibility Ascription;task Selection Algorithm for Multi-Agent Pickup and Delivery with Time Synchronization;dynamic Continuous Distributed Constraint Optimization problems;DITURIA: A Framework for Decision Coordination Among Multiple Agents;cooperative Driving at Intersections Through Agent-Based Argumentation;evaluating Adaptive and Non-adaptive Strategies for Selecting and Orienting Influencer Agents for Effective Flock control;a Proportional Pricing Mechanism for Ridesharing Services with Meeting Points;privacy-Aware Explanations for Team Formation;a New

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Generating Synthetic Data to Solve Industrial control problems by modeling A Belt Conveyor 11th

Generating Synthetic Data to Solve Industrial Control Proble...

引用

11th international Young Scientist conference on Computational Science, YSC 2022

作者： Reutov, Ilya Moskvin, Denis Voronova, Alyona Venediktov, Maxim Institute of Information Technologies Cherepovets State University Lunacharsky Prospect 5 Cherepovets162602 Russia LLC Mallenom Systems Metallurgov Street 21B Cherepovets162606 Russia

The paper illustrates the process of generating synthetic data used to develop a computer vision industrial control system, based on the simulation of an industrial belt conveyor. The result of this study represents the implementation of a new approach when the process of generating synthetic data is wrapped in completed software with user graphical interface. This software includes modules for loading objects and the conveyor itself. The experiments conducted to test the performance of the software showed its high speed in generating synthetic data relative to the process of real data obtaining. The software developed within the frames of this study has the potential to be improved to the universal tool level due to which it is possible to generate the synthetic data sets from tens and hundred thousands of images by means of adding and modeling digital duplicates of complex industrial objects to solve the tasks not only in the sphere of industrial control but in human-centric computer vision as well. © 2022 The Author(s).

关键词： Belt conveyors

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international conference on Digital Transformation: Informatics, Economics, and Education, DTIEE 2023

International Conference on Digital Transformation: Informat...

引用

2023 international conference on Digital Transformation: Informatics, Economics, and Education, DTIEE 2023

ISBN: (纸本)9781510664845

The proceedings contain 45 papers. The topics discussed include: research on mobile robot localization algorithm based on multi-sensor fusion;decision trees based multi-factor remote technical diagnostics of car retarders;decision trees based multi-factor remote technical diagnostics of car retarders;the construction of expert systems based on the theory of fuzzy sets as a trend in modern science and education;development of an adaptive control system for the quality parameter in the lack of information;point cloud analysis in a production quality guarantor computer vision system;using mathematical statistics to optimize the process of crossovers using data center infrastructure management;simulation modeling photovoltaic modules;machine learning techniques combination for selective and hierarchical analysis of psycho diagnostic data;rationalization of neural network training parameters on WWII poster classification example;and development of software and hardware complex for control and access management based on face recognition algorithms and neural networks.

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Fault localization for intelligent automation systems 28

Fault localization for intelligent automation systems

引用

28th IEEE international conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Eros, Endre Bengtsson, Kristofer Åkesson, Knut Chalmers University of Technology Automation Research Group Electrical Engineering Systems and Control Department Gothenburg Sweden Volvo Group As Senior Researcher for Smart and Connected Operations Research and Technology Development Gothenburg Sweden

ISBN: (纸本)9798350339918

Conventional programming of explicit control code is unsuitable for flexible and collaborative production systems. A model-based approach, which focuses on defining capabilities of a system, instead of specifying how to achieve them, provides an alternative for creating complex, scalable, and reliable systems. This is accomplished through the use of behavior models, and tools such as planning, synthesis, verification, and testing. However, developing such models is not without challenges, as it is possible to overlook or incorrectly specify potential behavior and constraints. This can result in unsolvable planning problems or plans that are invalid for other reasons. When plans are unobtainable, developers receive no feedback, which makes model adjustments a difficult and time-intensive task. This paper recognizes these challenges as crucial barriers for adopting model-based development of intelligent automation systems. To facilitate the development of such systems, an approach for detecting and localizing faults in behavior models is presented. Drawing inspiration from software fault localization techniques, the proposed method involves identifying suspicious resources, variables, and operations. The effectiveness of this approach is illustrated with an example use case. © 2023 IEEE.

关键词： Automation

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Reduced Order modeling for Thermo – Electric Processes 48th

Reduced Order Modeling for Thermo – Electric Processes

引用

48th international conference on Advanced problems in Mechanics, 2020

作者： Lukin, Alexey Popov, Ivan Udalov, Pavel Department of Mechanics and Control Processes Saint Petersburg Polytechnical University Polytechnicheskaya 29 Saint Petersburg195251 Russia

ISBN: (纸本)9783030921439

In the study of any objects and devices, the first step is the construction of the geometric structure, which is divided into finite elements with large number of nodes. Such model with millions of degrees of freedom is inappropriate to use in control and data processing problems. Therefore, to solve this problem, a discrete model is constructed with a smaller number of degrees of freedom than in the original one. But with this approach to modeling related tasks, problems arise that need to be addressed. In this paper we will consider the ROM of electrothermal problems and effective methods for recording, isolating and storing elemental matrices obtained by CAD systems. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Ansys APDL CAD Component Mode Synthesis Matlab MEMS Reduced order modeling Thermoelectric

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NETWORK OPTIMIZATION FOR SUSTAINABLE INTEGRATION OF DECENTRALIZED BIOGAS PRODUCTION 18

NETWORK OPTIMIZATION FOR SUSTAINABLE INTEGRATION OF DECENTRA...

引用

ASME 18th international conference on Energy Sustainability (ES)

作者： Hubert, David Birkelbach, Felix Hofmann, Rene TU Wien Inst Energy Syst & Thermodynam Getreidemarkt 9-BA A-1060 Vienna Austria

ISBN: (纸本)9780791887899

Facing the urgent need to mitigate anthropogenic climate change, reducing emissions from the combustion of natural gas has become imperative. This is particularly challenging in the steel or cement industry, where high-temperature heat is essential. A promising solution is substituting natural gas with biogas or hydrogen. The typically highly decentralized gas production presents a transportation challenge due to the high costs of pipeline networks. In this paper, we propose a novel Mixed Integer Linear Programming (MILP) formulation to minimize the investment costs of pipeline networks. The pipeline network is modeled dendritically, allowing the efficient connection of multiple production plants and feed points. The topology of the network and the discrete pipe diameters are optimized simultaneously. A significant novelty is the use of a boolean matrix-vector multiplication in our formulation, allowing the usually non-linear formulation to be formulated linearly without loss of information. This enables hitherto unsolvable problems to be solved using highly efficient MILP solvers. The method is demonstrated using a case study with 37 biogas plants and seven feed points in Austria. The optimization results are the topology of the network and the pipe diameters at minimum specific costs of 3.24e/(MWh). The results further highlight the economic efficiency of individual clusters, enabling decision-makers to implement step-by-step network expansion. The proposed method represents a novel contribution to optimizing the construction of gas transport infrastructure for biogas, offering potential applications in the broader context of renewable energy integration.

关键词： optimization and control modeling renewable energy fuels biomass

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Exploration and Application of Cloud-Network Integration control Architecture in Industry 16

Exploration and Application of Cloud-Network Integration Con...

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2023 16th international conference on Computer and Electrical Engineering, ICCEE 2023

作者： Sun, R.Q. Zhang, Y. Liu, L. Qin, D.W. Liu, J.W. Wu, X.N. Ansteel Group Beijing Research Institute Co. Ltd. Beijing102200 China Ansteel Group Automation Co. Ltd. Liaoning Anshan114001 China

Cloud-network integration(CNI) is an inevitable choice to enhance the supply capacity of industrial Internet. In traditional industrial control systems, there are problems such as insufficient depth of perception, insufficient connectivity and insufficient analytical predictability. Firstly, an industrial CNI control architecture is proposed in this paper. Then a software-defined PLC integrated development & runtime environment based on the cloud framework is developed and deployed on a private cloud platform. An efficient 5G private network is created to facilitate wireless omnidirectional connectivity of cloud PLC. The problems of complex industrial field circuits and difficult to unify protocols are solved through 5G intelligent terminal devices. Finally, the cloud control architecture and software platform are successfully applied to the remote centralized control of the tundish preparation system in a steel enterprise's two steelmaking plants. The results shows that the innovative system architecture meet the requirements for high-performance access, transmission, computing and storage in industrial plants, which achieves the cloud control of entire process industrial automation production. © Published under licence by IOP Publishing Ltd.

关键词： Industrial plants

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