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检索条件"任意字段=6th International Conference on Informatics in Control, Automation and Robotics"

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Improvements to the Bacterial Memetic Algorithm used for Fuzzy Rule Base Extraction

Improvements to the Bacterial Memetic Algorithm used for Fuz...

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6th IEEE international conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2008)

作者： Laszlo Gal Janos Botzheim Laszlo T. Koczy Department of Technology Informatics and Economy University of West Hungary Szombathely Hungary Institute of Information Technology and Electrical Engineering Szechenyi Istvan University Gyor Hungary Department of Automation Szechenyi Istvan University Gyor Hungary Department of Telecommunication and Media Informatics Budapest University슠of슠Technology슠and슠Economics Hungary

In this paper we discuss new methods to improve the Bacterial Memetic Algorithm (BMA) used for fuzzy rule base extraction. the first two methods are knot order violation handling methods which improves the performance of the BMA rather in the case of more complex fuzzy rule base. the third method is a new modification of the BMA in which the order of the operators is modified. this method improves the performance of the BMA rather in the case of less complex fuzzy rule base.

关键词： Fuzzy systems Mamdani-type inference systems Bacterial Memetic Algorithm (BMA) Levenberg-Marquardt method Knot order violation BMA with the modified operator execution order

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Intelligent control of an Integrated Energy System: Low Carbon Modeling and Intelligent Optimization

Intelligent Control of an Integrated Energy System: Low Carb...

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international conference on Electronic Engineering and informatics (EEI)

作者： Zezheng Fu Wenting Lin Degang Yang College of Computer and Information Science Chongqing Normal University Chongqing China Chongqing Engineering Research Center of Educational Big Data Intelligent Perception and Application Chongqing China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

An integrated energy system is a complex system that requires intelligent control to optimize its operation. this paper proposes an intelligent control method for integrated energy systems based on a low carbon model. the model integrates a variety of low carbon technologies such as carbon capture systems, demand response, carbon emissions trading, and clean energy generation. the effect of the proposed intelligent control methods on reducing system costs and carbon emissions is verified through a case study. the results show that the combination of the intelligent control method and the low carbon model leads to a significant reduction in system operating costs and carbon emissions. this provides an important reference for intelligent control of the existing integrated energy system from a low-carbon approach.

关键词： Green energy Costs Carbon dioxide Emissions trading Mathematical models Demand response Sustainable development informatics Optimization Intelligent control

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A primal-dual neural network for kinematic control of redundant manipulators subject to joint velocity constraints

A primal-dual neural network for kinematic control of redund...

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international conference on Neural Information Processing

作者： S.W.S. Tang Jun Wang Department of Mechanical and Aerospace Engineering The Chinese University of Hong-Kong Sha Tin Hong Kong China

the paper presents a primal-dual neural network for inverse kinematics computation of redundant manipulators subject to joint velocity limit constraints. While the desired velocities of the end-effector are fed into the neural network, it generates the joint velocity vector which is drift-free and never exceeds the hardware limits. the consideration of actuator limits prevents a manipulator from nonlinear saturation, and hence keeping a good tracking accuracy. the primal-dual network is proven to be asymptotically convergent to exact solutions. Simulation results show that the presented approach is capable of effectively generating the optimal redundancy resolution.

关键词： Neural networks Kinematics Jacobian matrices Tides Motion control Manipulators Orbital robotics Equations Art Robot sensing systems

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Platoon-Based Distributed control for Automated Material Handling Systems

Platoon-Based Distributed Control for Automated Material Han...

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international conference on control, Decision and Information Technologies (CoDIT)

作者： Alessandro Bozzi Jose-Fernando Jimenez Camilo Hernandez-Rodriguez Eliana-Maria Gonzalez-Neira Damien Trentesaux Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) University of Genova Italy Laboratory System and Materials for Mechatronics (SYMME) Université Savoie Mont Blanc Annecy France Industrial Engineering Department Pontificia Universidad Javeriana Bogota Columbia Laboratory of Industrial and Human Automation Control Mechanical Engineering and Computer Science (LAMIH) Université Polytechnique Hauts-de-France Valenciennes France

Smart manufacturing systems combine collaborative and autonomous control systems to provide optimal performance and respond to volatile demands. A key component of smart manufacturing is material management, as raw materials, work-in-progress, and finished products must be transported to the right location at the right time. However, during the production phase, it is imperative to establish an optimal traffic control scheme in order to avoid congestion and optimize material flow. this paper proposes a platooning-based control procedure implemented in a virtual agent-based manufacturing environment to increase the material flow efficiency on a manufacturing shop floor. An analysis of the production makespan and an indicator of the level of congestion in the material handling system was conducted in order to determine productivity improvements. An agent-based simulation is used to test the effectiveness of the novel platooning approach versus a traditional basic approach. A multivariate analysis of variance (MANOVA) reveals that the inclusion of a platoon-based procedure improves production performance and reduces congestion risks.

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Implementation of measurement applications using flexible hardware

Implementation of measurement applications using flexible ha...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Piotr Bilski Robert Łukaszewski Krzysztof Mroczek Institute of Radioelectronics Warsaw University of Technology Poland Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences Poland

the following paper presents solutions to execute the hands-on training and introduce students to the measurement and control systems. Embedded systems are of a great importance to the contemporary computer science and electronics, so they must be present in the program of studies. the application of two modern hardware platforms is presented for both didactic and engineering tasks. they are National Instruments CompactRIO system and the dedicated development board with ARM processor. these solutions are presented, then their applications described. their roles in the student laboratory and during the development of the measurement system are introduced. Finally, future prospect fur such equipment in the higher technical education are considered.

关键词： Field programmable gate arrays Hardware Instruments Computers Educational institutions Microcontrollers Software

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the Accuracy of Power Law Based Similarity Model in Phonebook-Centric Social Networks

The Accuracy of Power Law Based Similarity Model in Phoneboo...

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international conference on Wireless and Mobile Communications (ICWMC)

作者： Peter Ekler Tamas Lukovszki Department of Automation and Applied Informatics Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Faculty of Informatics Eötvös Lonránd University Budapest Hungary

Social networks are becoming increasingly popular nowadays. the increasing capabilities of mobile phones enable them to participate in such networks. We should consider the fact, that the phonebooks in the mobile devices represent social relationships that can be integrated in the social networks. Such networks provide a synchronization mechanism between phonebooks of the users and the social network which allows detecting other users listed in the phonebooks. Users can accept detected similarities. After that, if one of their contacts changes her or his personal detail, it will be propagated automatically into the phonebooks, after considering privacy settings. Estimating the total number of these similarities is a key issue from scalability point of view in such networks. We implemented a phonebook-centric social network, called Phonebookmark and investigated the structure of the network. Previously it was shown that the distribution of similarities follows a power law. Also a model was proposed by us, which can be used to calculate the total number of similarities. However the accuracy of the model is another question, because of the infinite variance of the power law distribution. the contribution of this paper is that using the fact that a member of the network can only be involved in a limited number of similarities results in a similarity distribution with a finite variance. therefore, central limit theorems can be used to show the accuracy of our estimation of the total number of similarities. However the model can be used in other power law distributions which apply to the requirements.

关键词： Mobile handsets Facebook Accuracy Internet Image edge detection Upper bound

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Optimization the Phase Composition of Aluminum Alloys for Motor Parts Operating at Incresed Temperatures

Optimization the Phase Composition of Aluminum Alloys for Mo...

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international conference on control Systems, Mathematical Modelling, automation and Energy Efficiency (SUMMA)

作者： Angel Velikov Atanas Nachev Nikolay Gueorguiev Roumen Bachvarov Sergey Stanev Liliana Nenova Anna Maneva Konstantin Nikolov Daniela Pavlova Institute of Metal Science Equipment and Technologies with Center for Hydro- and Aerodynamics ‘'Acad. A. Balevski - Bulgarian Academy of Sciences Sofia Bulgaria University of Library Studies and Information Technologies Sofia Bulgaria Institute of Robotics at Bulgarian Academy of Sciences Sofia Bulgaria

ISBN: (数字)9798331532178

ISBN: (纸本)9798331532185

the revolutionary transition from internal combustion engines to electric motors intended for mobile air, land and sea objects necessitates an examination of the need to change the components used for their manufacture. this is related both to the purposes of their production and to the evaluation of a number of parameters related to the detection of the products that use them and, in particular, to the possibilities of their localization and recognition through radar, infrared and seismic sensors. Taking into account that aluminum alloys, mainly from the Al-Si-Cu group, are widely used in engines, the proposed material offers a method for analyzing the possibilities for optimizing the phase composition of the aluminum parts of the housing of electric motors, taking into account the increased temperature during their operation and the use of cooling systems. the method is based on modeling the main elements of modern electric motors and the cooling system and applying digital modeling of the processes using the program thermo-Calc-Software - Computational Materials Engineering.

关键词： Temperature sensors Location awareness Cooling Radar Production Aluminum alloys Aircraft propulsion Optimization Ocean temperature Electric motors

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Realization of Low-Code Algorithm for Steel Energy Consumption Prediction

Realization of Low-Code Algorithm for Steel Energy Consumpti...

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IEEE international conference on Computer Communication and the Internet (ICCCI)

作者： Wanzhou Ji Yunqi Bian Hongxia Cai Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9798350351767

ISBN: (纸本)9798350351774

the steel industry is one of the world's highest energy consumption. It is important to improve its energy efficiency. Energy consumption prediction can help steel industry better plan and manage energy use. Based on a low-code development platform, multiple prediction algorithm models are used to predict the energy consumption. A low-code algorithmic platform support is provided for the steel industry to achieve energy saving and efficiency improvement.

关键词： Energy consumption Computational modeling Energy conservation Steel industry Predictive models Prediction algorithms Energy efficiency

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Video Tracking and Auxiliary Obstacle Avoidance of Power Plant Inspection Robot based on Deep Learning and 3D Digital Twin System

Video Tracking and Auxiliary Obstacle Avoidance of Power Pla...

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robotics, Intelligent control and Artificial Intelligence (RICAI), international conference on

作者： Quanjie Chen Qing Lin Weitao Liu Xuanyi Liu Xiaoyan Jia Rongdong Yu Zhan Wang Department of Artificial Intelligence and Robotics Zhejiang Energy Digital Technology Co. Ltd Hangzhou China Department of Engineering Delivery Center Zhejiang Energy Digital Technology Co. Ltd Hangzhou China

ISBN: (数字)9798331541699

ISBN: (纸本)9798331541705

the highly intricate landscape of power plant equipment and personnel demands sophisticated solutions, rendering robot-based automation control and the digitalization of production information indispensable for the realization of plant intelligence and smart operational paradigms. Traditional inspection robots, despite their proficiency in gathering information and executing predefined tasks, confront substantial hurdles in terms of adaptability and robustness within the confines of complex environments. the limitations of onboard sensors, such as the narrow fields of view offered by chassis-mounted devices and head-mounted cameras, result in the creation of numerous blind spots that make the robots vulnerable to collisions. Additionally, these robots are frequently perceived as standalone entities, rather than as integral components of the intricate power plant ecosystem. In response to these challenges, this article introduces an innovative control method that leverages the refined Unicorn video tracking algorithm. this algorithm provides real-time tracking, obstacle warnings, and collision pre-alerts for inspection robots in edge cases and unforeseen situations, thereby significantly enhancing their adaptability and preprocessing capabilities in complex environments. Furthermore, the process of collecting and annotating virtual datasets has been greatly simplified through the utilization of a 3D digital twin system, which facilitates the preparation of training datasets with minimal effort.

关键词： Video tracking three-dimensional displays Navigation Heuristic algorithms Inspection Real-time systems Digital twins Object recognition Collision avoidance Power generation

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A Min-Max control Synthesis for Uncertain Nonlinear Systems Based on Fuzzy T-S Model

A Min-Max Control Synthesis for Uncertain Nonlinear Systems ...

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IEEE international conference Intelligent Systems

作者： Tatjana Kolemishevska-Gugulovska Mile Stankovski Imre J. Rudas Nan Jiang Juanwei Jing SS Cyril and Methodius University in Skopje Faculty of Electrical Eng. and Information Technologies Rugjer Boshkovik bb 1000 Skopje R. Macedonia School of Information Science & Robotics Obuda Univeristy H-1034 Budapest Hungary NEU College of Information Science & Engineering Liaoning Shenyang P.R. China

ISBN: (纸本)9781467322768

the min-max robust control synthesis for uncertain nonlinear systems is solved using Takagi-Sugeno fuzzy model and fuzzy state observer. Existence conditions are derived for the output feedback min-max control in the sense of Lyapunov asymptotic stability and formulated in terms of linear matrix inequalities. the convex optimization algorithm is used to obtain the minimum upper bound on performance and the optimum parameters of mini-max controller. the close-loop system is asymptotically stable under the worst case disturbances and uncertainty. Benchmark of inverted pendulum plant is used to demonstrate the robust performance within a much larger equilibrium region of attraction achieved by the proposed design.

关键词： Fuzzy T-S models fuzzy observer nonlinear systems optimum intelligent control robust control uncertainty Uncertain nonlinear system min-max control optimal parameter Robust control T-S fuzzy model Fuzzy Optimization algorithms region of attraction

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