Results 61 to 70 of about 5,032 (199)
A Shape Optimization Approach for Inferring Sources of Volcano Ground Deformation
Geophysical Research LettersOne of the main goals of volcano geodesy is to improve the understanding of how an increase in pressure related to magma accumulation causes ground deformation in order to evaluate volcanic unrest.
Théo Perrot +2 more
doaj +1 more source
ModellingParametrization of photovoltaic (PV) modules makes an important foundation for monitoring and fault diagnosis. This work focus on the sensitivity of parameters for the single-diode model (SDM), which fills the gap in existing research.
Yu Shen +6 more
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Automated financial multi-path GETS modelling [PDF]
, 2009 General-to-Specific (GETS) modelling has witnessed major advances over the last decade thanks to the automation of multi-path GETS specification search. However, several scholars have argued that the estimation complexity associated with financial models
Álvaro Escribano +3 more
core
Complex multidisciplinary optimization of turbine blading systems
Archives of Mechanics, 2012 The paper describes the methods and results of direct optimization of turbine blading systems using a software package Opti_turb. The final shape of the blading is obtained from minimizing the objective function, which is the total energy loss of the ...
P. Lampart, Ł. Hirt
doaj +1 more source
Robust Pole Assignment via Sylvester Equation Based State Feedback Parametrization
, 2000 By using a Sylvester equation based parametrization, the minimum norm robust pole assignment problem for linear time-invariant systems is formulated as an unconstrained minimization problem for a suitably chosen cost function.
Varga, Andras
core
Non-Parametric Bayesian State Space Estimator for Negative Information
Frontiers in Robotics and AI, 2017 Simultaneous Localization and Mapping (SLAM) is concerned with the development of filters to accurately and efficiently infer the state parameters (position, orientation, etc.) of an agent and aspects of its environment, commonly referred to as the map ...
Guillaume de Chambrier, Aude Billard
doaj +1 more source
Non-parametric policy search with limited information loss
J. Mach. Learn. Res., 2017 Learning complex control policies from non-linear and redundant sensory input is an important challenge for reinforcement learning algorithms. Non-parametric methods that approximate values functions or transition models can address this problem, by adapting to the complexity of the data set. Yet, many current non-parametric approaches rely on unstable
Herke van Hoof +2 more
openaire +7 more sources
Robust pole assignment techniques via state feedback
, 2000 We present a unifying computational framework to solve robust pole assignment problems for linear systems using state feedback. The new framework uses Sylvester equation based parametrizations of the pole assignment problems.
Varga, Andras
core
Insight into high-quality aerodynamic design spaces through multi-objective optimization [PDF]
, 2008 An approach to support the computational aerodynamic design process is presented and demonstrated through the application of a novel multi-objective variant of the Tabu Search optimization algorithm for continuous problems to the aerodynamic design ...
Kipouros, Timoleon +5 more
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, 2017 Marion A, Gora J, Kracker O, et al. Amber-Compatible Parametrization Procedure for Peptide-like Compounds: Application to 1,4-and 1,5-Substituted Triazole-Based Peptidomimetics. JOURNAL OF CHEMICAL INFORMATION AND MODELING.
Tanja Fröhr +15 more
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