Linear Parameter Varying Iterative Learning Control
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The primary damage formation in Mo is investigated using molecular dynamics (MD) simulation with embedded-defect (ED) and embedded-atom method (EAM) interatomic potentials. The former is similar in spirit to the latter but includes an approximate treatment ...
The performance of machine learning algorithms has steadily improved over the past few years, such as MLP or more recently SVM. In this paper, we compare two successful discriminant machine learning algorithms apply to the problem of face verification: MLP ...
An analytical approach allowing modelling transient phenomena in pipes, valves, surge tank and Francis turbines based on impedance method is developed. These models are introduced in a software called “SIMSEN”, which simulates the behaviour of complex appl ...
A review. Since the first mol. dynamics simulations of hard spheres by Alder and Wainwright in the fifties of the last century (Alder, B.J. and Wainwright, T.E. (1957) Phase transition for a hard sphere system, J. Chem. Phys. 27, 1208-1209), this method ha ...
A review with 184 refs. The authors review the principles of the Car-Parrinello method for ab initio mol. dynamics (AIMD) simulations by first outlining the foundations of the method based on d. functional theory, plane wave basis sets and pseudopotentials ...
We study the problem of finding a characterization for the channel that results when a queue is operated under multiple access conditions. In such systems, the mechanism by which different sources gain access to the channel plays a fundamental role in defi ...
A new nonlinear model is proposed for describing the rela-tionship between the relevant inputs and outputs of a DC-magnetron sputtering system used in a manufacturing line for digital-compact discs and analogous optical data-storage devices. It is shown th ...
The term 'microbial persistence' describes a phenomenon whereby microorganisms which are drug-susceptible when tested outside the body are nevertheless capable of surviving within the body despite intensive therapy with the appropriate antimicrobial drug. ...
We describe a model and implementation of evolutionary spiking neurons for embedded microcontrollers with few bytes of memory and very low power consumption. The approach is tested with an autonomous microrobot of less than 1 in^3 that evolves the ability ...
In order to display huge scenes with virtual human inhabitants evolving inside a virtual city, we propose a methodology to create and manage different levels of detail for a well-segmented scene without "re-meshing" the scene during simulation. A database ...