Results 31 to 40 of about 5,670,636 (381)

Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley   +1 more source

The evolutionary forest algorithm [PDF]

open access: yesBioinformatics, 2007
AbstractMotivation: Gene genealogies offer a powerful context for inferences about the evolutionary process based on presently segregating DNA variation. In many cases, it is the distribution of population parameters, marginalized over the effectively infinite-dimensional tree space, that is of interest.
Leman, Scotland C   +3 more
openaire   +2 more sources

Creep Characterization of Inconel 718 Lattice Metamaterials Manufactured by Laser Powder Bed Fusion

open access: yesAdvanced Engineering Materials, EarlyView., 2023
Herein, the creep characteristics of additively manufactured Inconel 718 metamaterials are investigated. The creep behavior of metamaterials and the effects of microstructural defects are assessed, and the microstructure defects are accurately captured using Kachanov's creep damage model.
Akash Singh Bhuwal   +5 more
wiley   +1 more source

A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials

open access: yesAdvanced Engineering Materials, EarlyView., 2023
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis   +3 more
wiley   +1 more source

Testing Vision-Based Control Systems Using Learnable Evolutionary Algorithms

open access: yesInternational Conference on Software Engineering, 2018
Vision-based control systems are key enablers of many autonomous vehicular systems, including self-driving cars. Testing such systems is complicated by complex and multidimensional input spaces.
Raja Ben Abdessalem   +3 more
semanticscholar   +1 more source

New observer-based control design for mismatched uncertain systems with time-delay

open access: yesArchives of Control Sciences, 2016
In this paper, the state estimation problem for a class of mismatched uncertain time-delay systems is addressed. The estimation uses observer-based control techniques.
Huynh Van Van
doaj   +1 more source

Continuous improvement and adaptation of predictive models in smart manufacturing and model management

open access: yesIET Collaborative Intelligent Manufacturing, 2021
Predictive models are increasingly deployed within smart manufacturing for the control of industrial plants. With this arises, the need for long‐term monitoring of model performance and adaptation of models if surrounding conditions change and the ...
Florian Bachinger   +2 more
doaj   +1 more source

Investigation of the Uniformity of Gel Shrinkage by Imaging Tracer Particles Using X‐Ray Microtomography

open access: yesAdvanced Engineering Materials, EarlyView., 2023
A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal   +3 more
wiley   +1 more source

Evolutionary algorithms and dynamic programming [PDF]

open access: yesProceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled by evolutionary algorithms that use a representation which enables them to construct solutions in a dynamic programming fashion.
Doerr, B.   +4 more
openaire   +4 more sources

Chaos-Based Optimization - A Review

open access: yesJournal of Advanced Engineering and Computation, 2017
This paper discusses the utilization of the complex chaotic dynamics given by the selected time-continuous chaotic systems as well as by the discrete chaotic maps, as the chaotic pseudo-random number generators and driving maps for the chaos based ...
Roman Senkerik   +2 more
doaj   +1 more source

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