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Airfoil Inverse Design using Conditional Generative Adversarial Networks

Airfoil Inverse Design using Conditional Generative Adversar...

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international conference on control, automation, robotics and Vision (ICARCV)

作者： Xavier Tan Dai Manna Joyjit Chattoraj Liu Yong Xu Xinxing Dao My Ha Yang Feng Computing & Intelligence Department Institute of High Performance Computing A*STAR Singapore School of Informatics & IT Diploma in Big Data Analytics Temasek Polytechnic Singapore Fluid Dynamics Department Institute of High Performance Computing A*STAR Singapore

ISBN: (纸本)9781665476881

Creating an aerodynamic shape, like an airfoil wing, requires many factors to be considered, especially aerodynamic properties such as its lift-to-drag ratio (L/D). Currently, generating feasible airfoil shapes usually requires computationally expensive tools, such as Computational Fluid Dynamics (CFD). In recent years, increasing work has been directed to utilizing machine learning algorithms to synthesize accurate airfoil shapes while reducing the required computational cost. Generative Adversarial Network (GAN) is one of many algorithms to see success in airfoil shape optimization and is shown to generate good airfoils given a small set of training examples. This paper focuses on implementing a conditional GAN (cGAN) based framework with various filters for airfoil inverse design problem. By labelling the training dataset with aerodynamic characteristics separated by pre-defined thresholds to lift-to-drag ratio (L/D) and shape area, the class labels will be able to guide the network to generate different classes of airfoils influenced by these characteristics. Together with layers of Savitzky-Golay (SG) filter and B-Spline Interpolation, the developed model was shown to achieve good performance in generating new airfoils. In addition, we explored the viability of adding Wasserstein loss from Wasserstein GAN into the network architecture, forming a cWGAN-GP. Testing results showed that cWGAN-GP was able to achieve better performance for a specific airfoil class.

关键词： Training Interpolation Machine learning algorithms Shape Atmospheric modeling Computational fluid dynamics Generative adversarial networks

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Web-Based Support of Courses in Industrial and Automotive Mechatronics

Web-Based Support of Courses in Industrial and Automotive Me...

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international (EPE-PEMC) Power Electronics and Motion control conference

作者： Viliam Fedak Frantisek Durovsy Jan Fetyko Department of Electrical Mechatronic and Industrial Engineering Technical University of Kosice Slovakia SIEMENS s.r.o. branch Košice Industrial Applications and Solutions Slovakia Industrial Applications and Solutions SIEMENS Košice Slovakia

The paper starts with overview on needs and skills required by the engineers working in the mechatronic system environment, with special attention to the automotive and associated industries. After brief presentation of the background and courses in field of Mechatronics at the TU Kosice the paper show philosophy of the supporting web based interactive modules supporting the courses. They were developed not only in order to make education easier but also with the aim to attract the students to follow the accredited courses on Mechatronics.

关键词： Automotive engineering Mechatronics Continuous production informatics Road vehicles robotics and automation Manufacturing Electrical products industry Machinery production industries Metals industry

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Patch Perfect: System Administrator Strategies for Effective Patch Management and Securing Systems, Minimizing Risks

Patch Perfect: System Administrator Strategies for Effective...

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control, robotics and informatics (ICCRI), international conference on

作者： Florenz A. Martin William P. Rey School of Information Technology Mapua University Makati City Philippines

ISBN: (数字)9798350380309

ISBN: (纸本)9798350380316

Patch management is an important process in maintaining the security of IT systems, yet it provides several challenges for organizations looking to reduce risks and vulnerabilities. This article explores the insights and experiences acquired from applying patch management best practices in a real-world corporate setting. This paper addresses ways used to secure systems and reduce risks through proactive patch management based on a thorough analysis of existing literature and industry regulatory standards. This paper provides a detailed analysis of the challenges faced in patch deployment, including system downtime, compatibility issues, and unintended consequences. It explores how these challenges were addressed through proactive testing, patch prioritization, and collaboration with stakeholders. Furthermore, the study highlights the role of automation and orchestration in streamlining patch management processes, as well as the importance of user education and awareness in promoting patch compliance. Key findings suggest that effective patch management requires a multifaceted approach that integrates proactive testing, patch prioritization frameworks, and collaboration between stakeholders. The study also identifies areas for further research, including the integration of emerging technologies and the impact of organizational culture on patch management practices. Overall, this case study offers valuable insights and practical recommendations for organizations seeking to enhance their security posture through effective patch management strategies.

关键词： Industries Standards organizations Education Collaboration Organizations Security Stakeholders informatics Robots Testing

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control of nonlinear systems by fuzzy observer-controller with unmeasurable premise variables

Control of nonlinear systems by fuzzy observer-controller wi...

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international conference on Advanced robotics and Intelligent Systems (ARIS)

作者： Chuang Liu H.K. Lam Shun-Hung Tsai Chin-Sheng Chen Department of Informatics King's College London London United Kingdom Graduate Institute of Automation Technology National Taipei University of Technology Taipei Taiwan

In this paper, we investigate the stability of Takagi-Sugeno (T-S) fuzzy-model-based (FMB) observer-control system. Premise membership functions depending on unmeasurable premise variables are considered to enhance the flexibility and applicability of the fuzzy observer-controller. The fuzzy observer is designed to estimate the system states and the estimated states are employed for state-feedback control of nonlinear systems. Convex stability conditions are obtained through matrix decoupling technique so that a solution can be searched using convex programming techniques. The proposed analysis is able to reduce the number of predefined scalars by adequately choosing the augmented vector. Nonetheless, due to the mismatched premise membership functions between the fuzzy model and fuzzy observer-controller, it complicates the stability analysis which potentially leads to conservative stability conditions. To alleviate the problem, the stability conditions are relaxed by membership-function-dependent approach which takes the information of membership functions into consideration in the stability analysis. Simulation examples are provided to demonstrate the feasibility and relaxation of proposed FMB observer-control scheme.

关键词： Stability analysis Observers Numerical stability Lyapunov methods Nonlinear systems Polynomials Asymptotic stability

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Adaptive Whole-body Robotic Tool-use Learning on Low-rigidity Plastic-made Humanoids Using Vision and Tactile Sensors

Adaptive Whole-body Robotic Tool-use Learning on Low-rigidit...

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IEEE international conference on robotics and automation (ICRA)

作者： Kento Kawaharazuka Kei Okada Masayuki Inaba Department of Mechano-Informatics Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Various robots have been developed so far; however, we face challenges in modeling the low-rigidity bodies of some robots. In particular, the deflection of the body changes during tool-use due to object grasping, resulting in significant shifts in the tool-tip position and the body’s center of gravity. Moreover, this deflection varies depending on the weight and length of the tool, making these models exceptionally complex. However, there is currently no control or learning method that takes all of these effects into account. In this study, we propose a method for constructing a neural network that describes the mutual relationship among joint angle, visual information, and tactile information from the feet. We aim to train this network using the actual robot data and utilize it for tool-tip control. Additionally, we employ Parametric Bias to capture changes in this mutual relationship caused by variations in the weight and length of tools, enabling us to understand the characteristics of the grasped tool from the current sensor information. We apply this approach to the whole-body tool-use on KXR, a low-rigidity plastic-made humanoid robot, to validate its effectiveness.

关键词： Learning systems Visualization Robot kinematics Neural networks Humanoid robots Tactile sensors Position control

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Safe Execution of Learned Orientation Skills with Conic control Barrier Functions

Safe Execution of Learned Orientation Skills with Conic Cont...

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IEEE international conference on robotics and automation (ICRA)

作者： Zheng Shen Matteo Saveriano Fares J. Abu-Dakka Sami Haddadin Munich Institute of Robotics and Machine Intelligence (MIRMI) Technical University of Munich Germany Department of Industrial Engineering (DII) University of Trento Trento Italy Electronic and Informatics Department Faculty of Engineering Mondragon Unibertsitatea Bilbao Spain

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

In the field of Learning from Demonstration (LfD), Dynamical Systems (DSs) have gained significant attention due to their ability to generate real-time motions and reach predefined targets. However, the conventional convergence-centric behavior exhibited by DSs may fall short in safety-critical tasks, specifically, those requiring precise replication of demonstrated trajectories or strict adherence to constrained regions even in the presence of perturbations or human intervention. Moreover, existing DS research often assumes demonstrations solely in Euclidean space, overlooking the crucial aspect of orientation in various applications. To alleviate these shortcomings, we present an innovative approach geared toward ensuring the safe execution of learned orientation skills within constrained regions surrounding a reference trajectory. This involves learning a stable DS on SO(3), extracting time-varying conic constraints from the variability observed in expert demonstrations, and bounding the evolution of the DS with Conic control Barrier Function (CCBF) to fulfill the constraints. We validated our approach through extensive evaluation in simulation and showcased its effectiveness for a cutting skill in the context of assisted teleoperation.

关键词： Learning systems Perturbation methods Real-time systems Trajectory Behavioral sciences Usability Task analysis

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Mobile Robot Fault Tolerant control. Introducing ARTEMIC

Mobile Robot Fault Tolerant Control. Introducing ARTEMIC

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2010 2nd international conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

作者： Cristian Axenie Daniela Cernega Automation and Industrial Informatics Department Computer Science Faculty from "Dunarea de Jos" Univ Control Systems and Applied Informatics Computer Science Faculty from "Dunarea de Jos" Stiintei Stre

Real-time applications should timely deliver synchronized data-sets, minimize latency in their response and meet their performance specifications in the presence of disturbances and faults. The fault tolerant behavior in mobile robots refers to the possibility to autonomously detect and identify faults as well as the capability to continue operating after a fault occurred. This paper introduces a real-time distributed control application with fault tolerance capabilities for differential wheeled mobile robots, named ARTEMIC. Specific design, development and implementation details will be provided in this paper.

关键词： Mobile robotics Fault Tolerant control Sliding Mode EKF Real-Time Linux Distributed control

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Stoichiometry control of the two gas reactive sputtering process

Stoichiometry control of the two gas reactive sputtering pro...

引用

international Symposium on Computational Intelligence and informatics

作者： Róbert Rossi Madarász András Kelemen Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Budapest Hungary Sapientia Hungarian University of Transylvania Tîrgu Mures Romania

ISBN: (数字)9781728156255

ISBN: (纸本)9781728156262

The objective of the paper is the synthesis of a control structure for a two-gas reactive magnetron sputtering process, using a model that is suitable for modeling the coverage of the substrate with different compounds of the particles participating in the process. Assuming its observability, the ternary compound coverage is controlled by means of the gas flow of oxygen supplied in a continuous fashion, with the oxygen partial pressure limitation dependent on the nitrogen partial pressure. On the other hand, the set value of the nitrogen partial pressure depends on the set value of the discharge current, which is controlled by means of the nitrogen gas flow. The control characteristics have been derived and the dynamic behavior of the proposed stoichiometry control structure has been simulated based on the parameters of a laboratory sputtering chamber, which is intended to be used for the experimental validation of the simulation results.

关键词： magnetron sputtering two-gas reactive sputtering partial pressure control stoichiometry titanium oxynitride TiOxNy

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Efficient communication method in the cellular robotic system

Efficient communication method in the cellular robotic syste...

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IEEE international Workshop on Intelligent Robots and Systems (IROS)

作者： T. Fukuda K. Sekiyama T. Ueyama F. Arai Department of Mechano Informatics Systems University of Nagoya Nagoya Japan Nippondenso Company Limited Anjo Aichi Japan

Presents a new approach to communication in an autonomous distributed system, focusing on the cellular robotic system (CEBOT). The CEBOT is a self-organizing robotic system composed of a large number of robotic units (cells) with a simple function. In order for cellular robots to implement a task efficiently, cooperation and coordination among cells are of great importance and require efficient communication. Since communication takes place in the process of task execution, it is likely to be intensive and biased by the small number of cells related to the task. This could decrease communication efficiency. To deal with these problems of robot communication, the authors propose demand-based intensive communication (DBIC), and show its effectiveness with simulation and experimental results for the prototype CEBOT Mark IV.

关键词： Robot kinematics Orbital robotics robotics and automation Intelligent robots Robot sensing systems Communication system control Local area networks Prototypes Stress control Inspection

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Motion control and communication of cooperating intelligent robots by fuzzy signatures

Motion control and communication of cooperating intelligent ...

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IEEE international conference on Fuzzy Systems (FUZZ-IEEE)

作者： Aron Ballagi Laszlo T. Koczy Tamas D. Gedeon Department of Automation Széchenyi István University Hungary Department of Telecommunications and Media Informatics Budapest University슠of슠Technology슠and슠Economics Budapest Hungary Department of Computer Science Australian National University Acton ACT Australia

This paper presents two examples of usage of fuzzy signatures in the field of mobile robotics. The first shows a complex lateral drift control method base on fuzzy signatures. This method inspects the motion system of the robot as a whole, unlike as simple parts of a complex system. The state space is written down by fuzzy signatures which add up flexibility, adaptability and learning ability to the system. In the second experiment a new communication approach is investigated for intelligent cooperation of autonomous mobile robots. Effective, fast and compact communication is one of the most important cornerstones of a high-end cooperating system. In this paper we propose a fuzzy communication system where the codebooks are built up by fuzzy signatures. We use cooperating autonomous mobile robots to solve some logistic problems.

关键词： Motion control Intelligent robots Fuzzy control Mobile communication Mobile robots Fuzzy systems Orbital robotics Communication system control State-space methods Logistics

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