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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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Overall Performance Optimization Design of Aeroengine Based on Multi Objective Genetic Algorithm 11th

Overall Performance Optimization Design of Aeroengine Based ...

引用

11th international conference on Frontier Computing, FC 2021

作者： Zhang, Xu Sanya Aviation & Tourism College Hainan Sanya572000 China

ISBN: (纸本)9789811680519

Multi objective genetic algorithm is a new optimization algorithm developed in recent years for multi-objective optimization problems. Because of its high efficiency and practical characteristics, it has been paid more and more attention by the academic circles. Aiming at the modeling error in the design of flight control system controller and the influence of external interference in the flight process, PID control method is used to complete the design of a combat fuel engine control system controller. In order to improve the control accuracy of fighter and solve the limitation of the difficulty in selecting the weight matrix Q and R in LQG/LTR robust control method, genetic algorithm is added to optimize the weight matrix on line. At the same time, the system under different flight conditions and the parameter uncertainty caused by the system modeling process are simulated respectively, and compared with the traditional PID and the PID control based on genetic algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Three term control systems

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Research on Production Decision Making Based on Greedy Algorithm and Shortest Path Model

Research on Production Decision Making Based on Greedy Algor...

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Electronics, Energy systems and Power Engineering (EESPE), IEEE international conference on

作者： Shuying Zhou Zheng Duan Rocket Force University of Engineering Xi'an China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

The aim of this study is to explore production decision optimisation methods based on greedy algorithms and shortest path models, with a special focus on the impact of defective rates on firms and related decision considerations. By analysing the processing strategies such as testing and quality control of production materials, this paper establishes a binomial distribution model, a dynamic programming model and a shortest path model to optimise the enterprise structure. In the study, the binomial distribution model is firstly constructed to assess the defective rate of spare parts by applying the confidence test method in statistics, and the normal approximation is combined with the central limit theorem in order to facilitate the decision-making of sampling and testing. For multi-stage decision-making that deals with more complex production materials, dynamic planning methods are used to clarify the decision variables in each stage, and the shortest path model is combined to identify the lowest-cost path, and the optimal decision combination is finally filtered out. In addition, for the complexity of multiple processes, this paper is based on the idea of greedy algorithm to decompose the overall problem into multiple sub-problems, solving and integrating the optimal solutions of each sub-strategy one by one. The research results show that the proposed method effectively reduces the production decision-making cost and provides a feasible solution for enterprises to achieve cost minimisation and revenue maximisation.

关键词： Greedy algorithms Analytical models Costs Biological system modeling Decision making Quality control Production materials Minimization Dynamic programming Testing

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On Cooperative control of Two-Drones with a Slung Load

On Cooperative Control of Two-Drones with a Slung Load

引用

international conference on Unmanned Aircraft systems (ICUAS)

作者： Fateme Aghaee Jerome Jouffroy Department of Mechanical and Electrical Engineering University of Southern Denmark Sonderborg Denmark

ISBN: (数字)9798331513283

ISBN: (纸本)9798331513290

Increasing the load capacity of drones can be effectively achieved by utilizing two drones. This paper introduces a novel cooperative control strategy for the transport of a slung bar-shaped load using two drones. Our approach integrates differential flatness-based motion planning with filtering techniques to generate reference trajectories. This method does not require prior knowledge of the load mass or cable deflection angles, and ensuring compatibility with a wide range of flight controllers. The proposed control scheme employs a super-twisting controller as an internal stabilizer to ensure robustness against model inaccuracies and external disturbances, providing precise stabilization around the preplanned trajectories. This methodology is particularly well-suited for practical applications requiring the cooperative transport of complex loads, such as wind turbine blades, where precision, robustness, and simplicity are critical.

关键词： Filtering Blades Robustness Trajectory Wind turbines Planning Aircraft Drones Load modeling Aerospace control

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Revealing attributes of an object based on incomplete and inconsistent empirical data 8

Revealing attributes of an object based on incomplete and in...

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8th international conference on Information Technology and Nanotechnology, ITNT 2022

作者： Semenova, Valentina Smirnov, Sergei Laboratory for Analysis and Modeling of Complex Systems Samara Federal Research Scientific Center RAS Institute for the Control of Complex Systems RAS Samara Russia

ISBN: (数字)9781665485715

ISBN: (纸本)9781665485715

The paper considers the problem of building a semantic model of the object under study, which determines its attributes, *** composition of the properties inherent in the object. The set of these attributes is a subset of all measured (in a broad sense) properties of the object under study. Processing the results of such multidimensional measurements, observations, registration of expert opinions, etc. gives the initial empirical material in the form of generally logically many-valued assessments of judgments truth of the form 'the property x is inherent in the object g'. On the other hand, the subject may have a priori knowledge about the coexistence variants of various attributes in the object under study. For such circumstances, a method is proposed for identifying all admissible sets of object attributes, including a logical-combinatorial method for choosing the 'best' of these sets, which is taken as a semantic model of the object. The paper considers examples of applications of the developed models and methods, indicates the tasks of additional research of the problem to substantiate the proposed methodology for the semantic identification of an object based on empirical data. © 2022 IEEE.

关键词： Semantics

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Enhanced Robust Low-Order controller for Air Handling Units in HVAC systems

Enhanced Robust Low-Order Controller for Air Handling Units ...

引用

international conference on Technology, Informatics, Management, Engineering, and Environment (TIME-E)

作者： Muhammad Hilmi Aditya Girza Utama Instrumentation and Control Study Program Bandung Institute of Technology Bandung Indonesia

ISBN: (数字)9798350364750

ISBN: (纸本)9798350364767

Air handling units (AHUs), integral components of HVAC systems, play a crucial role in maintaining indoor air quality. However, implementing AHUs in critical environments poses challenges due to inaccurate modeling of these complex systems, load changes from external factors, and inherent system uncertainties, potentially leading to suboptimal control performance. In this paper, we adopt a robust control approach using µ-synthesis to address these uncertainties and disturbances, aiming to achieve robust stability and performance of the closed-loop system. To facilitate practical implementation, we reduce the complexity of the high-order controller resulting from the robust method by applying Hankel-norm approximation to obtain a reduced-order controller. Validation through simulation demonstrates a robust system response to exogenous disturbances, with root mean square errors of 2.6416 × 10 −4 °C and energy savings of 8.16 % in average power consumption. The reduced-order controller is justified by its comparable robustness and accuracy to the high-order controller, with additional advantages in energy savings and computational load. The results demonstrate the proposed method's efficacy, showcasing its potential to significantly improve the control capabilities of HVAC systems.

关键词： Robust control HVAC Uncertainty Accuracy Energy conservation Stability analysis Robustness complexity theory complex systems Root mean square

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Methodology for Energy-efficient Heat Removal control of the Transmitting complex of a High-Potential Space Monitoring Radar

Methodology for Energy-efficient Heat Removal Control of the...

引用

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

作者： Alexander V. Timoshenko Anatoly Yu. Perlov Roman S. Shafir Igor B. Zager Kirill V. Lvov Moscow Aviation Institute Moscow Russia Moscow Institute of Electronic Technology Moscow Russia Moscow State University Moscow Russia

This work is devoted to the development of a technique for energy-efficient heat removal control in a modern space monitoring radar station. For this purpose, a thermal model of a power amplification unit operating inside the transmitting radio-electronic complex is constructed. The method of a quasi-homogeneous anisotropic body was used, which allows minimizing the computational costs of calculations by replacing a unit with a complex internal structure with a quasi-homogeneous body. The algorithm for energy-efficient control of heat removal from the power amplification unit is based on a thermal model that provides a forecast of the unit’s temperature. According to the proposed algorithm, control actions on the cooling system are formed based on the temperature forecast. To evaluate the effectiveness of the developed algorithm in practice, a demonstration computational experiment was carried out. The constructed thermal model makes it possible to use this model and the developed heat removal technique at the operational stage of the radar station.

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18th international conference on Data Science and Artificial Intelligence, ICDSAI 2022

18th International Conference on Data Science and Artificial...

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18th international conference on Data Science and Artificial Intelligence, ICDSAI 2022

ISBN: (纸本)9783031161773

The proceedings contain 36 papers. The special focus in this conference is on Data Science and Artificial Intelligence. The topics include: Analysis on the Efficacy of ANN on Small Imbalanced Datasets;lightweight and Homomorphic Security Protocols for IoT;Tool-Based Approach on Digital Vulnerability Management Hub (VMH) by Using TheHive Platform;performance Analyzer for Blue Chip Companies;strengthening Deep-Learning-Based Malware Detection Models Against Adversarial Attacks;video-Based Micro Expressions Recognition Using Deep Learning and Transfer Learning;Trustworthiness of COVID-19 News and Guidelines;detection of Moving Object Using Modified Fuzzy C-Means Clustering from the complex and Non-stationary Background Scenes;Deterrence Pointer for Distributed Denial-of-Service (DDoS) Attack by Utilizing Watchdog Timer and Hybrid Routing Protocol;defining, Measuring, and Utilizing Student’s Learning in a Course;modeling Logistic Regression and Neural Network for Stock Selection with BSE 500 – A Comparative Study;landslide Detection with Ensemble-of-Deep Learning Classifiers Trained with Optimal Features;a Survey Paper on Text Analytics Methods for Classifying Tweets;a Survey on Threat Intelligence Techniques for Constructing, Detecting, and Reacting to Advanced Intrusion Campaigns;generalizing a Secure Framework for Domain Transfer Network for Face Anti-spoofing;survey on Game Theory-Based Security Framework for IoT;survey: Intrusion Detection for IoT;Human-in-the-Loop control and Security for Intelligent Cyber-Physical systems (CPSs) and IoT;survey: Neural Network Authentication and Tampering Detection;misinformation Detection Through Authentication of Content Creators;holistic Features and Deep-Guided Depth-Induced Mutual-Attention-Based complex Salient Object Detection;end-to-End Network Slicing for 5G and Beyond Communications;transparency in Content and Source Moderation;Trust and Identity Management in IOT.

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Research on the Stability of Aircraft With Nose Wheel Autonomous Taxiing Configuration

Research on the Stability of Aircraft With Nose Wheel Autono...

引用

2022 CSAA/IET international conference on Aircraft Utility systems, AUS 2022

作者： Huang, Haixiang Zhang, Hao Liu, Xiaochao Shang, Yaoxing Beihang University School of Automation Science and Electrical Engineering Beijing China Ningbo Institute of Technology Beihang University Ningbo China Science and Technology on Aircraft Control Laboratory Beihang University Beijing China Research Institute for Frontier Science Beihang University Beijing China Key Laboratory of Advanced Aircraft Utility Systems Beihang University Ministry of Industry and Information Technology China Beijing Tianma Intelligent Control Technology Co. Ltd. Beijing China General Research Institute of Coal Science Beijing China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

The traditional main engine-driven aircraft ground taxiing method has the problems of low efficiency, heavy pollution and high fuel consumption. However, today's aircraft is facing the urgent need for efficient ground maneuvering, it is urgent to further optimize the ground taxiing method of the aircraft. In response to this demand, a taxiing strategy of autonomously dragging the nose wheels of the aircraft is proposed. However, the ground dynamics research on the nose-wheel drive taxiing configuration aircraft is still insufficient. Therefore, in this paper, the ground dynamics modeling and simplification of the nose wheel autonomous drag configuration aircraft are carried out;the stability boundary of the system under different nose wheel rotation angles and rotation angle change rates during ground taxiing is analyzed and calculated;The traditional configuration aircraft with thrust to achieve the function of ground taxiing is compared and analyzed. It provides a theoretical basis for the efficient and autonomous taxiing stability control of aircraft on the ground. © 2022 IET conference Proceedings. All rights reserved.

关键词： Wheels

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Measuring the Level of Radiated Emissions from PCBs with Modal Reservation before and after Failure

Measuring the Level of Radiated Emissions from PCBs with Mod...

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2022 international conference on Actual problems of Electron Devices Engineering, APEDE 2022

作者： Adnan, Alhaj Hasan Gazizov, Talgat R. Tomsk State University of Control Systems and Radioelectronics Dept. Television and Control Tomsk Russia

ISBN: (数字)9781665406130

ISBN: (纸本)9781665406123

In this paper, the levels of radiated emissions from printed circuit boards with modal reservation are estimated before and after failures. Four boards prototypes (without modal reservation, and with modal reservation before and after short and open circuit failures) were manufactured to experimentally study their features. A laboratory model of a classical TEM-cell was used to measure the frequency dependences up to 2 GHz of the voltage amplitude levels at its central conductor for all boards. The measured results obtained after failures were compared to those obtained before them. It was revealed that in general the level of radiated emissions for the board with modal reservation is lower than for the board without it even after failures, except at some frequencies of the studied domain, due to the frequency shifting. The study confirms the possibility of using the modal reservation layout and tracing approach for both ensuring electromagnetic compatibility and improving the reliability of radioelectronic devices. © 2022 IEEE.

关键词： Printed circuit boards

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Intelligent-Aided Design for control Parameters of Kitchen Waste Pretreatment Based on the Specific Bayesian Network Expert System

Intelligent-Aided Design for Control Parameters of Kitchen W...

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

作者： WeiLai Jiang WenLu Wang ChengHong Zheng XueSong Bai YaoNan Wang School of Electrical and Information Engineering Hunan University Changsha China Changsha Zoomlion Environmental Industry Co. LTD Changsha China

ISBN: (数字)9798331504755

ISBN: (纸本)9798331504762

Kitchen waste treatment is an essential issue in the process of urbanization. Aiming at problems such as the dependence of engineer experience on the parameter setting of various equipment in the whole process of kitchen waste pretreatment, the failure to adapt to the characteristics of kitchen waste, and poor overall performance, this paper studies the intelligent assistant design method of kitchen waste pretreatment control parameters based on Bayesian network expert system. The overall framework of the kitchen waste pretreatment process was built using the experience of experts in the kitchen waste industry, and the correlation network between kitchen waste characteristics and pretreatment equipment parameters was established to form a Bayesian causal probability table. The Bayesian network structure was built to realize the inference prediction of equipment parameter changes based on the characteristics of kitchen waste. The verification experiment shows that the design performs well in the kitchen waste pretreatment parameter decision. It provides a feasible scheme for effectively solving the problem of kitchen waste pretreatment.

关键词： Industries Correlation Design methodology Urban areas Process control Biology Bayes methods Expert systems complex systems

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