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检索条件"任意字段=Conference on Simulation-Driven Modeling and Optimization"

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simulation-driven size reduction of antenna structures using adjoint sensitivities and trust regions

Simulation-driven size reduction of antenna structures using...

引用

European conference on Antennas and Propagation, EuCAP

作者： Adrian Bekasiewicz Slawomir Koziel J. Pieter Jacobs Engineering Optimization & Modeling Center Reykjavik University Reykjavik Iceland Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa

Explicit size reduction of antenna structures using cost efficient EM-simulation-driven optimization is discussed. The proposed approach directly handles the antenna size (as the main design objective) while ensuring satisfaction of electrical performance parameters by means of suitably defined penalty functions. For the sake of computational efficiency, optimization is carried out using cheap adjoint sensitivities and trust region framework utilized as convergence safeguard. Our technique is illustrated through a design of a compact quasi-isotropic dielectric resonator antenna.

关键词： optimization Dielectric resonator antennas Reflection Sensitivity Algorithm design and analysis Reflector antennas

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Data-driven Agent-based modeling of Innovation Diffusion 15

Data-Driven Agent-based Modeling of Innovation Diffusion

引用

Proceedings of the 2015 International conference on Autonomous Agents and Multiagent Systems

作者： Haifeng Zhang Vanderbilt University Nashville USA

ISBN: (纸本)9781450334136

We present a novel data-driven agent-based modeling framework to study innovation diffusion. Our first step is to learn a model of individual agent behavior from individual adoption characteristics. We then construct an agent-based simulation with the learned model embedded in artificial agents, and proceed to validate it using a holdout sequence of collective adoption decisions. Finally, we exemplify the proposed method can be used to explore and analyze a broad class of policies aimed at spurring innovation adoption.

关键词： agent-based modeling innovation diffusion machine learning policy optimization

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THE OBJECT-ORIENTED DISCRETE EVENT simulation modeling: A CASE STUDY ON AIRCRAFT SPARE PART MANAGEMENT 15

THE OBJECT-ORIENTED DISCRETE EVENT SIMULATION MODELING: A CA...

引用

simulation conference

作者： Haobin Li Giulia Pedrielli Yinchao Zhu Yixin Chen Nugroho A. Pujowidianto Institute of High Performance Computing Singapore National University of Singapore Singapore Hewlett-Packard Singapore Singapore

ISBN: (纸本)9781467397414

Object-Oriented DES (O~2DES) is an effort to implement the object oriented paradigm in the scope of ease the development of discrete event simulation models in both education as well as industrial settings. In particular, O~2DES offers several functionalities which support the integration of the tool with optimization techniques, thus making it easier to the students to understand the concept of simulation-optimization. It also supports the application of different variance reduction techniques such as budget allocation and time dilation. In order to do so, the provided toolkit exploits the C# language and the .NET Framework and it guarantees the efficient generation of DES models, as well as the effectiveness of the developed models in being integrated with sampling solutions. We propose a case study related to the aircraft spare part management problem to show case the main functionalities of the proposed tool.

关键词： discrete event simulation Case studies Event driven simulation C language Aircraft object orientation Budgets modeling DES gene Diethylstilbestrol Showcases

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Co-simulation and Application of AMESim and Simulink for the Hydraulic-mechanical Coupling System

Co-simulation and Application of AMESim and Simulink for the...

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2015 International conference on Applied Mechanics and Mechatronics Engineering(AMME 2015)

作者： Chang-lin MA Lin HAO Feng LI Xi'an Research Inst.of Hi-tech Xi'an Research Inst. of Hi-tech

AMESim and Simulink software are selected as the software environment for the simulation of the hydraulic-mechanical coupling system. The functions and characteristic of the AMESim and Simulink software are introduced. The hydraulic-driven rotary mechanism system is taken as an example, the basic sketch for modeling and co-simulation of hydraulic-mechanical coupling system based on the interfaces is discussed, the problems during the co-simulation between AMESim and Simulink are given, and the realization methods of co-simulation using the interfaces are studied. The modeling and simulation method is of significance for the co-simulation and optimization of complex mechanical hydraulic system.

关键词： Hydraulic-mechanical coupling system Co-simulation AMESim MATLAB/Simulink

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Error driven Node Placement as Applied to One Dimensional Shallow Water Equations

Error Driven Node Placement as Applied to One Dimensional Sh...

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International conference on Computer modeling and simulation, UKSIM

作者： Zhenquan Li Peter Crowhurst Robert Wood School of Computing and Mathematics Charles Sturt University Albury NSW Australia

ISBN: (纸本)9781479987146

This paper investigates the technique of localised mesh refinement to solve the Shallow Water Equations (SWE), by adding nodes only where needed. The discretization process linearizes the nonlinear equations for solving as a linear system. The nonlinear error values at specific nodes are used to indicate which node will have additional nodes added either side. The process of adding nodes is repeated until the nonlinear error value is below a given threshold, or the predefined maximum number of nodes for that given time step has been reached. This process is restarted again at each time step, allowing the optimization process to efficiently allocate nodes based only on error, avoiding global increases in node numbers across the solution set.

关键词： shallow water equations shallow water equations Ganglia optimization Procedure Line of nodes nonlinear equations One dimensional

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Horizontal I-PD position control of a levitated hybrid electromagnet driven by 3 phase ac long stator L-PMSM

Horizontal I-PD position control of a levitated hybrid elect...

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International Aegean conference on Electrical Machines and Power Electronics, ACEMP

作者： Murat Atlihan Mirsad Bucak Kadir Erkan Department of Mechatronics Engineering Yildiz Technical University Istanbul Turkey

In this paper, a flexible conveyance system consists of 4 pole hybrid electromagnet and linear synchronous motor is introduced. Firstly, modeling of 4 pole hybrid electromagnet was derived based on well -known magnetic circuit principles. Then, the control method in which the currents converge virtually to zero is called as “zero power control” is applied to hybrid electromagnet to stabilize the system and provide levitation against gravity. Secondly, PM-LSM, which enables to move hybrid electromagnet horizontally, is modeled. According to modeling basis, I-PD controller is designed to provide moving action in a desired position reference. simulation and experimental studies of position control for both levitation and horizontal motion verify validity of the proposed methods.

关键词： Electromagnets Mathematical model Synchronous motors Force Permanent magnet motors Permanent magnets Integrated circuit modeling

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Special session on computationally efficient simulation-driven engineering design optimization and modeling

Special session on computationally efficient simulation-driv...

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International conference on simulation and modeling Methodologies, Technologies and Applications (SIMULTECH)

Start of the above-titled section of the conference proceedings record.

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Efficient design parameter optimization for musculoskeletal bipedal robots combining simulated and hardware-in-the-loop experiments

Efficient design parameter optimization for musculoskeletal ...

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IEEE-RAS International conference on Humanoid Robots

作者： Dorian Scholz Oskar von Stryk Simulation Systems Optimization and Robotics Group Technische Universität Darmstadt Darmstadt Germany

The design and tuning of bio-inspired musculoskeletal bipedal robots with tendon driven series elastic actuation (TD-SEA) including biarticular structures is more complex than for conventional rigid bipedal robots. To achieve a desired dynamic motion goal additional hardware parameters (spring coefficients, rest lengths, lever arms) of both, the TD-SEAs and the biarticular structures, need to be adjusted. Furthermore, the biarticular structures add correlations over multiple joints which increase the complexity of tuning of these parameters. Parameter adaption and tuning is needed to fit active and passive dynamics of the actuators and the control system. For the considered class of musculoskeletal bipedal robots no fully satisfying systematic approach to efficiently tune all of these parameters has been demonstrated yet. Conventional approaches for tuning of hardware parameters in rigid robots are either simulation based or use a hardware-in-the-loop optimization. This paper presents a new approach to efficiently optimize these parameters, by combining the advantages of simulation-in-the-loop and hardware-in-the-loop optimizations. Grahical interpretation of suitable metrics, like resulting quality values, are used to interpret the simulation results in order to efficiently guide the hardware experiments. By carefully considering the simulation results and adjusting the sequence of robot experiments based on biomechanical insights, the required number of hardware experiments can be significantly reduced. This approach is applied to the musculoskeletal BioBiped2 robot where the hardware parameters of the elastic actuation of the Gastrocnemius and Soleus structures are optimized. A comparison with a state-of-the-art hardware-in-the-loop optimization method demonstrates the efficiency of the presented approach.

关键词： Robots Hardware optimization Biological system modeling Springs Musculoskeletal system Actuators

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Data-driven Agent-Based modeling, with Application to Rooftop Solar Adoption 15

Data-Driven Agent-Based Modeling, with Application to Roofto...

引用

International conference on Autonomous Agents and Multiagent Systems

作者： Haifeng Zhang Yevgeniy Vorobeychik Joshua Letchford Kiran Lakkaraju Electrical Engineering and Computer Science Vanderbilt University Sandia National Laboratories

ISBN: (纸本)9781450337694

Agent-based modeling is commonly used for studying complex system properties emergent from interactions among many agents. We present a novel data-driven agent-based modeling framework applied to forecasting individual and aggregate residential rooftop solar adoption in San Diego county. Our first step is to learn a model of individual agent behavior from combined data of individual adoption characteristics and property assessment. We then construct an agent-based simulation with the learned model embedded in artificial agents, and proceed to validate it using a holdout sequence of collective adoption decisions. We demonstrate that the resulting agent-based model successfully forecasts solar adoption trends and provides a meaningful quantification of uncertainty about its predictions. We utilize our model to optimize two classes of policies aimed at spurring solar adoption: one that subsidizes the cost of adoption, and another that gives away free systems to low-income house-holds. We find that the optimal policies derived for the latter class are significantly more efficacious, whereas the policies similar to the current California Solar Initiative incentive scheme appear to have a limited impact on overall adoption trends.

关键词： Machine Learning Agent-based modeling Innovation Diffusion Rooftop Solar Policy optimization Agent-Based modeling Adoption Diffusion of Innovation Sun ROOFS data driven optimal strategy Artificial Intelligence Machine Learning Policies

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Improving performance of cloud datacenters using heuristic driven VM migration

Improving performance of cloud datacenters using heuristic d...

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International conference on Next Generation Computing Technologies (NGCT)

作者： Jyoti Thaman Manpreet Singh Department of Computer Science & Engineering MMU Sadopur Ambala India

ISBN: (纸本)9781467368100

Cloud Computing has emerged as an alternate infrastructural, computational and service platform. It caters the users with least financial burden. Cloud uses virtualization for resource management through Virtual Machine (VM). An important aspect of cloud computing remains Quality of Service (QoS), often referred as Service Level Agreement (SLA). Several user applications simultaneously compete for resources in data centers. With limitations in available resources and compelling SLAs, VMs have to be migrated live during execution. Another concern in Clouds remains energy efficiency because of huge sized servers and communication requirements; most of the investment goes in power. In this paper, a novel SLA conscious variance based VM Selection scheme has been proposed. simulation results revels that proposed scheme outperforms other approaches based on resource optimization for cloud computing environments. During simulation some real world workload traces from PlanetLab has been used.

关键词： Cloud computing Servers Resource management Computational modeling Load modeling Energy consumption Reactive power

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