A structure and computationally-efficient design closure of compact spline-parameterized UWB monopole antenna

Economy considerations have always played an important role in the generative theory of grammar. They are particularly prominent in the most recent instantiation of this approach, the Minimalist Program, which explores the possibility that Universal Grammar is an optimal way of satisfying requirements that are imposed on the language faculty by the external systems that interface with the language faculty which is also characterized by optimal, computationally efficient design. In this respect, the operations of the computational system that produce linguistic expressions must be optimal in that they must satisfy general considerations of simplicity and efficient design. Simply put, the guiding principles here are (a) do something only if you need to and (b) if you do need to, do it in the most economical/efficient way. These considerations ban superfluous steps in derivations and superfluous symbols in representations. Under economy guidelines, movement takes place only when there is a need for it (with both syntactic and semantic considerations playing a role here), and when it does take place, it takes place in the most economical way: it is as short as possible and carries as little material as possible. Furthermore, economy is evaluated locally, on the basis of immediately available structure. The locality of syntactic dependencies is also enforced by minimal search and by limiting the number of syntactic objects and the amount of structure accessible in the derivation. This is achieved by transferring parts of syntactic structure to the interfaces during the derivation, the transferred parts not being accessible for further syntactic operations.

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Computationally Efficient Design and Optimization Approach of PMa-SynRM in Frequent Operating Torque–Speed Range

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2018.2831249 ◽

2018 ◽

Vol 33 (4) ◽

pp. 1776-1786 ◽

Cited By ~ 10

Author(s):

Carlos Lopez-Torres ◽

Antonio Garcia ◽

Jordi-Roger Riba ◽

Gerhard Lux ◽

Luis Romeral

Keyword(s):

Optimization Approach ◽

Efficient Design ◽

Computationally Efficient ◽

Design And Optimization ◽

Speed Range

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Hybrid electric vehicle electric motors for optimum energy efficiency: A computationally efficient design

Energy ◽

10.1016/j.energy.2020.117779 ◽

2020 ◽

Vol 203 ◽

pp. 117779

Author(s):

Dong Wei ◽

Hongwen He ◽

Jianfei Cao

Keyword(s):

Energy Efficiency ◽

Electric Vehicle ◽

Hybrid Electric Vehicle ◽

Electric Motors ◽

Efficient Design ◽

Computationally Efficient ◽

Optimum Energy ◽

Hybrid Electric

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Computationally efficient design of optimal strategies for controllable damping devices

Structural Control and Health Monitoring ◽

10.1002/stc.1649 ◽

2014 ◽

Vol 22 (1) ◽

pp. 1-18 ◽

Cited By ~ 3

Author(s):

Mahmoud Kamalzare ◽

Erik A. Johnson ◽

Steven F. Wojtkiewicz

Keyword(s):

Optimal Strategies ◽

Efficient Design ◽

Computationally Efficient

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Rapid Prototyping of Inertial MEMS Devices through Structural Optimization

Sensors ◽

10.3390/s21155064 ◽

2021 ◽

Vol 21 (15) ◽

pp. 5064

Author(s):

Daniele Giannini ◽

Giacomo Bonaccorsi ◽

Francesco Braghin

Keyword(s):

Rigid Bodies ◽

Design Tool ◽

Mems Devices ◽

Efficient Design ◽

Computationally Efficient ◽

Design Environment ◽

Parametric Generation ◽

Design And Optimization ◽

Gradient Based ◽

Complex Models

In this paper, we propose a novel design and optimization environment for inertial MEMS devices based on a computationally efficient schematization of the structure at the a device level. This allows us to obtain a flexible and efficient design optimization tool, particularly useful for rapid device prototyping. The presented design environment—feMEMSlite—handles the parametric generation of the structure geometry, the simulation of its dynamic behavior, and a gradient-based layout optimization. The methodology addresses the design of general inertial MEMS devices employing suspended proof masses, in which the focus is typically on the dynamics associated with the first vibration modes. In particular, the proposed design tool is tested on a triaxial beating-heart MEMS gyroscope, an industrially relevant and adequately complex example. The sensor layout is schematized by treating the proof masses as rigid bodies, discretizing flexural springs by Timoshenko beam finite elements, and accounting for electrostatic softening effects by additional negative spring constants. The MEMS device is then optimized according to two possible formulations of the optimization problem, including typical design requirements from the MEMS industry, with particular focus on the tuning of the structural eigenfrequencies and on the maximization of the response to external angular rates. The validity of the proposed approach is then assessed through a comparison with full FEM schematizations: rapidly prototyped layouts at the device level show a good performance when simulated with more complex models and therefore require only minor adjustments to accomplish the subsequent physical-level design.

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