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IEEE Annual conference on Decision and Control

作者： Milad Karimshoushtari Carlo Novara Politecnico di Torino Italy

Lean NO_x Trap (LNT) is one of the most effective after-treatment technologies used to reduce NO_x emissions of diesel engines. One relevant problem in this context is LNT regeneration timing control. This problem is indeed difficult due to the fact that LNTs are highly nonlinear systems, involving complex physical/chemical processes, that are hard to model. In this paper, a novel approach for regeneration timing of LNTs is proposed, allowing us to overcome these issues. This approach, named data-driven model predictive control (D~2 - MPC), does not require a physical model of the engine/trap system but is based on low-complexity polynomial prediction models, directly identified from data. The regeneration timing is computed through an optimization algorithm, which uses the identified models to predict the LNT behavior. Two D~2 - MPC strategies are proposed, and tested in a co-simulation study, where the plant is represented by a detailed LNT model, built using the well-known commercial tool AMEsim, and the controller is implemented in Matlab/Simulink.

关键词： Mathematical model Predictive models Engines Fuels Timing Computational modeling Data models

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Energy efficiency of data centers: A data-driven model-based approach

Energy efficiency of data centers: A data-driven model-based...

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IEEE International Energy conference (ENERGYCON)

作者： Hadid, Baya Lecoeuche, Stephane Gille, David Labarre, Cecile Mines Telecom Inst Mines Douai Informat & Control Syst Res Unit F-59500 Douai France

ISBN: (纸本)9781467384636

Issues in Energy Efficiency of Data Centers (DC) are important, due to the cumulative effects of the increase in the DCs number and in the energy consumption per center. Developing new design recommendations to improve a cooling system efficiency, commonly quantified by the PUE metric (Power Usage Effectiveness) is one objective of the Green IT organizations. For existing DCs, without considering the optimization of the IT workload, a possible way to improve the DC's energy efficiency is to adjust the cooling setpoints. In this paper, a methodology based on predictive models is used to optimize the PUE by improving the cooling setting. The modeling approach consists in exploiting the temperatures and energy measurements at various operating conditions to predict the PUE behavior using data-driven models commonly called black box models. The optimization procedures are based on the simulation of these models in order to estimate the best working conditions.

关键词： Data center Energy efficiency PUE optimization Data-driven models

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Unattended Design of Wideband Planar Filters Using a Two-Step Aggressive Space Mapping (ASM) optimization Algorithm 1

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conference on simulation-driven modeling and optimization

作者： Sans, Marc Selga, Jordi Rodriguez, Ana Velez, Paris Boria, Vicente E. Bonache, Jordi Martin, Ferran Univ Autonoma Barcelona Dept Elect Engn GEMMA CIMITEC E-08193 Barcelona Spain Univ Politecn Valencia iTEAM Dept Comunicac E-46022 Valencia Spain

ISBN: (数字)9783319275178

ISBN: (纸本)9783319275178;9783319275154

This chapter deals with the automated and unattended design of planar wideband bandpass filters by means of aggressive space mapping (ASM) optimization. The approach can be applied to bandpass filters based on semi-lumped element resonators (e.g., stepped impedance resonators, ring resonators, etc.) coupled through admittance inverters (implemented with quarter-wavelength transmission lines). It will be explained how the filter layout is automatically generated from filter specifications, i.e., central frequency, fractional bandwidth, in-band ripple, and order, without the need of any external aid to the design process. For this purpose, a novel optimization algorithm based on two independent ASM processes will be fully described. The proposed automatic design procedure will be detailed and validated through its application to generate several filter layouts starting from different sets of practical specifications.

关键词： Wideband bandpass filters Balanced filters optimization Unattended design Circuit synthesis Space mapping (SM) Step impedance resonators (SIRs)

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On the solvability of the pressure driven hydraulic steady-state equations considering feedback-control devices 15

On the solvability of the pressure driven hydraulic steady-s...

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15th International conference on Computing and Control for the Water Industry, CCWI 2017

作者： Deuerlein, Jochen Piller, Olivier Parisini, Fabrizio Simpson, Angus R. Elhay, Sylvan 3S Consult GmbH Albtalstrasse 13 Karlsruhe76137 Germany Irstea UR ETBX Bordeaux Regional Centre CestasF-33612 France School of Civil Environmental and Mining Engineering University of Adelaide AdelaideSA5005 Australia School of Computer Science University of Adelaide SA5005 Australia

Water supply networks (WSNs) represent an important part of urban technical infrastructure. Recently, the resilience of water distribution networks facing different physical and cyber threats has gained increasing attention. In order to improve the operation of complex water distribution systems under both, extreme and normal hydraulic conditions, mathematical simulation models are indispensable tools for engineers, network planners, network operators and decision makers. Especially, in the case of extremely disruptive events that might be caused by natural hazards or deliberate malevolent attacks by humans, the proper operation of the system for maintaining the supply of drinking water to at least parts of the population is a very challenging task. Resilient behaviour can be reached only by adaptive system operation including isolation of parts of the network and control of pressure and flows in the system. For that purpose, different kinds of control devices are used that may be remotely controlled or which are operated in the field. Existing hydraulic simulation software often fails to calculate reliable results for systems under control and pressure insufficiency. A mathematical framework for the simulation of the steady-state flow in reticulation water supply networks with special consideration of feedback control devices and pressure dependent demands is proposed in this paper. First, the importance of the steady-state calculation in the face of disruptive events is stressed and a brief review of synthetic and analytical methods for the hydraulic steadystate calculation is given. In this paper, the well-known content model is extended by the content of pressure dependent outflows. The nonlinear consumption functions in combination with linear inequality constraints (box constraints) replace the constant demands of demand driven analysis. It is also shown that the range of solvable problems in combination with flow control devices is enlarged by the relaxation

关键词： Uncertainty analysis

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On Low-Cost Space Mapping optimization of Antenna Structures

On Low-Cost Space Mapping Optimization of Antenna Structures

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IEEE MTT-S International conference on Numerical Electromagnetic and Multiphysics modeling and optimization (NEMO)

作者： Koziel, Slawomir Cheng, Qingsha S. Zhang, Qingfeng Reykjavik Univ Sch Sci & Engn IS-101 Reykjavik Iceland Southern Univ Sci & Technol Dept Elect & Elect Engn Shenzhen 518055 Guangdong Peoples R China

ISBN: (纸本)9781467387620

In this paper, a low-cost formulation of space mapping (SM) for design optimization of antenna structures is investigated. The major challenge is that low-fidelity (or coarse) antenna models are normally obtained from coarse-discretization EM simulations so that their evaluation cost cannot be neglected. Consequently, the SM algorithm has to aim at reducing both the number of fine and coarse model evaluations throughout the optimization process. In our approach, a fast parameter extraction procedure is proposed along with the trust-region-based surrogate optimization routine. As demonstrated using a microstrip PIFA antenna, this allows for maintaining overall low optimization cost even with relatively expensive coarse model.

关键词： Antenna design space mapping simulation-driven optimization variable-fidelity EM analysis surrogate modeling

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An efficient framework for the reliability-based design optimization of large-scale uncertain and stochastic linear systems

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PROBABILISTIC ENGINEERING MECHANICS 2016年 44卷 174-182页

作者： Spence, Seymour M. J. Gioffre, Massimiliano Kareem, Ahsan Univ Michigan Dept Civil & Environm Engn Ann Arbor MI 48109 USA Univ Perugia CRIACIV Dept Civil & Environm Engn DICA Via G Duranti 93 I-06125 Perugia Italy Univ Notre Dame NatHaz Modeling Lab Dept Civil & Environm Engn & Earth Sci Notre Dame IN 46556 USA

This paper is focused on the development of an efficient reliability-based design optimization algorithm for solving problems posed on uncertain linear dynamic systems characterized by large design variable vectors and driven by non-stationary stochastic excitation. The interest in such problems lies in the desire to define a new generation of tools that can efficiently solve practical problems, such as the design of high-rise buildings in seismic zones, characterized by numerous free parameters in a rigorously probabilistic setting. To this end a novel decoupling approach is developed based on defining and solving a limited sequence of deterministic optimization sub-problems. In particular, each sub-problem is formulated from information pertaining to a single simulation carried out exclusively in the current design point. This characteristic drastically limits the number of simulations necessary to find a solution to the original problem while making the proposed approach practically insensitive to the size of the design variable vector. To demonstrate the efficiency and strong convergence properties of the proposed approach, the structural system of a high-rise building defined by over three hundred free parameters is optimized under non-stationary stochastic earthquake excitation. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Reliability-based design optimization Stochastic loads Reliability analysis Monte Carlo simulation Earthquake engineering Structural optimization High-dimensional problems

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Expedited EM-driven Design optimization of Compact Dual-Band Microwave Couplers Using Adaptive Response Scaling

Expedited EM-Driven Design Optimization of Compact Dual-Band...

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IEEE MTT-S International conference on Numerical Electromagnetic and Multiphysics modeling and optimization (NEMO)

作者： Koziel, Slawomir Bekasiewicz, Adrian Cheng, Qingsha S. Zhang, Qingfeng Reykjavik Univ Sch Sci & Engn IS-101 Reykjavik Iceland Southern Univ Sci & Technol Dept Elect & Elect Engn Shenzhen 518055 Guangdong Peoples R China

ISBN: (纸本)9781467387620

Computationally efficient design optimization of dual-band microstrip couplers is demonstrated using an adaptive response scaling (ARS) technique. ARS allows for constructing a fast surrogate of the high-fidelity EM-simulation model of the coupler structure under design using its equivalent circuit as an underlying low-fidelity model. ARS relies on nonlinear frequency/amplitude response scaling that accommodates the discrepancies between the low-and high-fidelity models at the reference design. ARS has been applied for design of a dual-band microstrip coupler with enhanced bandwidth.

关键词： Computer-aided design compact microwave circuits dual-band couplers design optimization

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Master-slave control with trajectory planning and Bouc-Wen model for tracking control of piezo-driven stage

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AIP conference Proceedings 2018年第1期1955卷

作者： Xiaojun Lu Changli Liu Lei Chen School of Mechanical and Power Engineering East China University of Science and Technology Shanghai 200237 China

In this paper, a redundant Piezo-driven stage having 3RRR compliant mechanism is introduced, we propose the master-slave control with trajectory planning (MSCTP) strategy and Bouc-Wen model to improve its micro-motion tracking performance. The advantage of the proposed controller lies in that its implementation only requires a simple control strategy without the complexity of modeling to avoid the master PEA’s tracking error. The dynamic model of slave PEA system with Bouc-Wen hysteresis is established and identified via particle swarm optimization (PSO) approach. The Piezo-driven stage with operating period T=1s and 2s is implemented to track a prescribed circle. The simulation results show that MSCTP with Bouc-Wen model reduces the trajectory tracking errors to the range of the accuracy of our available measurement.

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PARALLEL EMPIRICAL STOCHASTIC BRANCH AND BOUND FOR LARGE-SCALE DISCRETE optimization VIA simulation

PARALLEL EMPIRICAL STOCHASTIC BRANCH AND BOUND FOR LARGE-SCA...

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Winter simulation conference (WSC)

作者： Rosen, Scott Salemi, Peter Wickham, Brian Williams, Ashley Harvey, Christine Catlett, Erin Taghiyeh, Sajjad Xu, Jie Mitre Corp 7525 Colshire Dr Mclean VA 22102 USA George Mason Univ Dept Syst Engn & Operat Res 4400 Univ Dr Fairfax VA 22030 USA

ISBN: (纸本)9781509044863

Real-life simulation optimization applications often deal with large-scale simulation models that are timeconsuming to execute. Parallel computing environments, such as high performance computing clusters and cloud computing services, provide the computing power needed to scale to such applications. In this paper, we show how the Empirical Stochastic Branch and Bound algorithm, an effective globally convergent random search algorithm for discrete optimization via simulation, can he adapted to a high-performance computing environment to effectively utilize the power of parallelism. We propose a master-worker structure driven by MITRE 's Goal-Directed Grid-Enabled simulation Experimentation Environment. Numerical experiments with the popular Ackley benchmark test function and a real-world simulation called runwaySimulator demonstrate the number of cores needed to achieve a good scaled efficiency of parallel empirical stochastic branch and bound for increasing levels of simulation run times.

关键词： Computing power

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A Structure and Design of Novel Compact UWB Slot Antenna 10

A Structure and Design of Novel Compact UWB Slot Antenna

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10th European conference on Antennas and Propagation (EuCAP)

作者： Bekasiewicz, Adrian Koziel, Slawomir Dhaene, Tom Reykjavik Univ Engn Optimizat & Modeling Ctr Reykjavik Iceland Univ Ghent Dept Informat Technol Ghent Belgium

ISBN: (纸本)9788890701863

A structure and design optimization procedure of a compact UWB slot antenna is presented. Small size of the antenna and its good electrical performance is achieved by introducing sufficiently large number of geometry degrees of freedom, including a stepped-impedance feed line and a meandered slot with parameterized dimensions. All dimensions are simultaneously adjusted using automated EM-simulation-driven optimization algorithm. Exploitation of variable-fidelity models allows us to maintain low computational cost of the design process. The footprint of the optimized antenna is only 8.93 mm x 17.9 mm (160 mm(2)) while maintaining low reflection in the entire UWB frequency range.

关键词： UWB Antennas compact antennas computer-aided design EM-driven design surrogate-based optimization

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