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

共 1170 条记录，以下是851-860 订阅

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Evolution Assisted Flight Control System Design

Evolution Assisted Flight Control System Design

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IEEE/AIAA 32nd Digital Avionics Systems conference (DASC)

作者： Chudy, Peter Vlk, Jan Dittrich, Petr Brno University of Technology Czech Republic|c|

ISBN: (纸本)9781479915361;9781479915385

""An evolution driven controller design approach has been applied to a rigid-body aircraft model of a light sport aircraft. The model comprises inertial, aerodynamic and flight dynamics related elements and the controller architecture is based on Classical Control Theory. The evolution driven concept plays a significant role in the optimization of the proposed controller structure by providing tuned controller parameters, which meet the designed fitness function criteria imposed through the optimization problem formulation. The proposed fitness function combines significant controller stability evaluation conditions into a single abstraction. The use of a robust optimization framework based on the genetic algorithms has allowed the suggested form of multi-criteria optimization definition. The suitability of the evolutionary optimization has been successfully tested on a model with rigid-body aircraft dynamics. Time-domain simulation results have shown the compliance of the tuned controller performance with its anticipated behavior.""

关键词： Aerospace control Aircraft Atmospheric modeling Equations Mathematical model optimization Sociology

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modeling and control design for power systems driven by battery/supercapacitor hybrid energy storage devices

Modeling and control design for power systems driven by batt...

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American Control conference (ACC)

作者： Jung, Hoeguk Conficoni, Christian Tilli, Andrea Hu, Tingshu Univ Massachusetts Lowell Dept Elect & Comp Engn Lowell MA 01854 USA

ISBN: (纸本)9781479901784

This paper addresses several important problems in a typical power system driven by battery/supercapacitor hybrid energy storage devices. The currents in the battery and the supercapacitor are actively controlled by two bidirectional buck-boost converters. Detailed investigation is conducted on deriving two state-space averaged models for the whole interconnected system. The control objective is to track the references of two variables. The control design problem is converted into a numerically efficient optimization problem with linear matrix inequality (LMI) constraints. When the optimization algorithm is applied to an experimental system, the resulting optimal control law is very close to a simple integrator control (with two inputs and two outputs). The simple integrator control is applied to the system in both simulation and experiment. The results confirm the effectiveness of the modeling and control design methods.

关键词： Battery supercapacitor hybrid energy storage dc-dc converter linear matrix inequality (LMI) averaged model robust tracking

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A DDDAMS FRAMEWORK FOR REAL-TIME LOAD DISPATCHING IN POWER NETWORKS

A DDDAMS FRAMEWORK FOR REAL-TIME LOAD DISPATCHING IN POWER N...

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Winter simulation conference on simulation - Making Decisions in a Complex World

作者： Thanos, Aristotelis E. Shi, Xiaoran Saenz, Juan P. Celik, Nurcin Univ Miami Coral Gables FL 33146 USA

ISBN: (纸本)9781479939503;9781479920778

The economic environmental load dispatch problem in power networks aims at producing electricity at the lowest financial and environmental costs. In this paper, we propose a novel real-time dynamic data driven adaptive multi-scale simulation framework (RT-DDDAMS) for efficient real-time dispatching of electricity. The framework includes 1) a discovery procedure where the network is split into sub-networks and prospective fidelities are identified, 2) an RT-DDDAMS platform involving algorithms for state estimation, fidelity selection, and multi-objective optimization alongside with a system simulation;and 3) databases for storing sub-network topologies, fidelities, and selective measurements. The best compromise load dispatch obtained from this framework is then sent to the considered power network for deployment. The proposed framework is illustrated and validated via a modified IEEE-30 bus test system. The experiments reveal that the proposed framework significantly reduces the computational resource usages needed for the reliable power dispatch without compromising the quality of the solutions.

关键词： Multiobjective optimization

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Analytical modeling and optimization for a microvalve actuated by magnetic fluid

Analytical modeling and optimization for a microvalve actuat...

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4th International conference on Digital Manufacturing and Automation (ICDMA)

作者： Wu Jian Liu Tonggang China Univ Min & Technol Sch Mechatron Engn Xuzhou 221116 Peoples R China

ISBN: (纸本)9780769550169

A microvalve actuated by magnetic fluid and electromagnets drive is presented. The working principle of this microvale is using a volume of magnetic fluid driven by four electromagnets as a spool. By changing the on/off order of the electromagnets, the direction of liquid flow can be changed, and the flow rate can be controlled by adjusting the electricity. A detailed description of the design has been introduced and modeled by ANSYS software. The influence of magnetic field strength to sectional area is analyzed;the simulated result shows that 40mT of magnetic field is optimization. The influence of magnetic field strength to flow rate is analyzed both;the simulation result shows that with the change of magnetic field strength, the size of channel formed by magnetic fluid and the wall of pipeline is changing instantly, and the flow rate of liquid will also be changed.

关键词： microvalve magnetic fluid analysis optimization flow rate control

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Modelling and simulation 2013 - European simulation and Modelling conference, ESM 2013

Modelling and Simulation 2013 - European Simulation and Mode...

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27th Annual European simulation and Modelling conference, ESM 2013

ISBN: (纸本)9789077381793

The proceedings contain 51 papers. The topics discussed include: automatic generation of global agent based model of migratory waterfowl for epidemiological analysis of avian influenza and other zoonoic diseases;simulation driven detection of the increased risk periods during fentanyl analgesia;fentanyl delivery optimization using Markov chain multi compartmental model;system dynamics modeling and simulation of the moral capital influence on the economy growth in the Republic of Croatia;a probabilistic analysis of transactions success ratio in real-time databases;employment effects of ports and cost benefit analyses;automatic simulation model generation for supporting facility planning in SMEs;and modeling, simulation and information systems as a tool to support decision making process in crisis management.

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AIAA modeling and simulation Technologies (MST) conference

AIAA Modeling and Simulation Technologies (MST) Conference

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AIAA modeling and simulation Technologies (MST) conference

The proceedings contain 85 papers. The special focus in this conference is on modeling and simulation Technologies. The topics include: Designing control logic for cockpit display systems using model-based design;screening level mission modeling and simulation of micro autonomous systems and technologies;modeling and energy evaluation of small convertible UAVs;modeling of the quadrotor UAV based on screw theory via dual quaternion;modelling and simulation of a novel dual axes tilt quadrotor UAV;dynamic model for a coaxial-UAV;a Monte Carlo simulation for evaluating airborne collision risk in intersecting runways;energy efficient trajectory designs for minimizing climate impact of aircraft on various timescales;a model of manual control with perspective scene viewing;effects of visual delay on manual control in flight simulators;the DF-21D antiship ballistic missile;frequency domain identification of a small-scale helicopter with least square method;comparison of robust optimization methods applied to hypersonic vehicle design;simulating quadrotor dynamics using imported CAD data;modeling autopilot suites for a multi-aircraft simulator;design of the DLR AVES research flight simulator;HW in-the-loop simulation of a light aircraft autopilot;applying the objective motion cueing test to a classical washout algorithm;numerical simulation of the wind field over complex terrains based on the vortex lattice method;propeller slipstream model for small unmanned aerial vehicles;estimating parameters of the structural pilot model using simulation tracking data;sensor and tracker requirements development for sense and avoid systems for unmanned aerial vehicles;modular simulation framework for unmanned aircraft systems;requirements and modeling of in-flight icing effects for flight training;evolution driven controller design for aeroservoelastic aircraft;geometry based flight dynamics modelling of unmanned airplanes;designing scenarios for controller-in-the-loop air traffic simula

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Data driven process modeling and simulation: An applied case study

Data driven process modeling and simulation: An applied case...

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Summer Computer simulation conference, SCSC 2013 and Work in Progress, WIP 2013, Part of the 2013 Summer simulation Multiconference, SummerSim 2013

作者： Lu, Zhi Jun Xiang, Qian Gu, Jun College of Mechanical Engineering Donghua University Shanghai 201620 China Shanghai Jingxing Storage Equipment Engineering Co. Ltd. Shanghai 201611 China

ISBN: (纸本)9781627482769

The yarn production is a very complex industrial process, and the relation between the spinning variables and the yarn properties has not been established conclusively so far. However, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to control the process itself. This paper presents a novel process simulation model with data driven approaches such as case based reasoning and support vector machine hybrid algorithms for optimization of complex spinning parameters. The process simulaiton model is able to predict the yarn properties through continually self-learning, which can help the yarn producer to make the best process decision The applied cases are demonstrated that the intelligent system for the solving the hard problem of complex process control is promising.

关键词： Yarn

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Discrete event system specification, synthesis, and optimization of low-power FPGA-based embedded systems

Discrete event system specification, synthesis, and optimiza...

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2013 12th International conference on Field-Programmable Technology, FPT 2013

作者： Flier, Tim Schwartz, David Lysecky, Koman Seo, Chungman Zeigler, Bernard P. University of Arizona Tucson AZ United States RTSync Corp. Sierra Vista AZ United States

ISBN: (纸本)9781479921990

Discrete event system specification (DEVS) has been widely used within modeling and simulation to design, verify, and implement complex reactive systems. DEVS provides a robust formalism for designing systems using event-driven, state-based models in which timing information is explicitly defined. In this paper, we present an overview of a DEVS-based hardware design, synthesis, and optimization methodology. Within this approach, hardware DEVS (HDEVS) specifications can be synthesized to hardware, during which the event-driven model and explicit timing allow for an efficient hardware realization using globally asynchronous, locally synchronous design approach. Additionally, we present an optimization method for reducing power consumption through optimal frequency mapping and clock gating of individual components while ensuring system latency constraints are achieved. We further demonstrate the resulting power consumption savings for activity-driven forest fire and asthma health management applications targeting two low-power FPGA devices. © 2013 IEEE.

关键词： High level synthesis

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Data-driven modeling approach for recovery performance prediction in SAGD operations

Data-driven modeling approach for recovery performance predi...

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SPE Heavy Oil conference Canada 2013

作者： Amirian, Ehsan Leung, Juliana Y. Zanon, Stefan Dzurman, Peter SPE University of Alberta Canada SPE Nexen Inc. Canada

ISBN: (纸本)9781627486286

Quantitative ranking of different operating areas and assessment of uncertainty due to reservoir heterogeneities are crucial elements in optimization of production and development strategies in oil sands operations. Although detailed compositional simulators are available for recovery performance evaluation for SAGD, the simulation process is usually deterministic, cumbersome, expensive (manpower and time consuming), and not quite suitable for real-time decision making and forecasting. In this paper, Artificial Neural Network (ANN) is employed as a data-driven modeling alternative to predict SAGD recovery performance in heterogeneous reservoirs, an important application that is lacking in existing literature. In this study, numerical flow simulations are performed to construct a training data set consists of various attributes describing characteristics associated with reservoir heterogeneities and relevant production/injection parameters with the corresponding recovery factor as output. The network is trained using the data set to identify all significant patterns and relationships that exist between these attributes and the output parameters. The model is then tested using a verification data set (cases that have not been used at the training stage). Sensitivity studies on network configurations are also investigated. In addition, new modifications are proposed to identify and reduce extrapolations in predictions, which are often considered as major drawbacks in most data-driven modeling approaches. The approach described in this paper can be integrated directly into most existing reservoir management routines. In addition, the technique can be used as a viable tool for analyzing large amount of competitor data efficiently. Given that robust forecasting and optimization of heavy oil recovery processes is a major challenge faced by the industry, the proposed research has great potential to be applied in other recovery projects such as solvent-additive steam injecti

关键词： Forecasting

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International conference on modeling and simulation in Engineering, Economics, and Management, MS 2013

International Conference on Modeling and Simulation in Engin...

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International conference on modeling and simulation in Engineering, Economics, and Management, MS 2013

ISBN: (纸本)9783642382789

The proceedings contain 28 papers. The special focus in this conference is on modeling and simulation in Engineering, Economics, and Management. The topics include: Stock market simulation: Heavy tails through normal perturbation;simulation-optimization methods in vehicle routing problems: A literature review and an example;technical staff motivation in nigeria: A strategic imperative;a hybrid algorithm for solving a bilevel production-distribution planning problem;a simulation study regarding different aircraft boarding strategies;routing simulation model with allocation of burdens multimodal;a simulation-based approach for solving the aircraft turnaround problem;sovereign bond spreads evolution in Latin American countries;application of the hj biplot methodology to variation greenhouse gas emissions in international companies;a model of currency crisis under the possibility of government resignation;utilizing neuronal calculus in predicting inflation;pEV: A computer program for fuzzy sales forecasting;decision making with fuzzy moving averages and OWA operators;a generalization of the variance by using the ordered weighted average;application of finite spectrum assignment method on distillation column;kinetic modelling of sphalerite in sulfuric acid solution;distributed and time-delay analyse of pneumatic signals in long pipelines;comparison between two methods for characterization of a patch antenna array: Experimental and by simulation;introducing integrated acceptance and sustainability assessment of technologies: A model based on system dynamics simulation;incorporating stakeholders’ preferences into csr ratings: Fuzzy topsis approach to evaluate agri-food companies;how to apply model driven engineering to develop corporate social responsibility computer systems;a model for estimating cash flows in firms backed by venture capital.

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