|In this paper, a new adaptive method for nite element analysis using dynamic bubble system is proposed. The error estimation is performed according to the Zienkiewicz-Zhu error norm estimator and using improved solution of the problem instead of the unknown exact values which is both straightforward and computationally cheap. Mesh density is easily controlled by changing the radii of the node ...

A primary goal of adaptive control is to achieve stability and asymptotically optimal performance, given the feasibility of adaptive control problem— defined as the existence of a stabilizing solution in a continuously parametrized controller set. A solution is proposed called safe adaptive control, which robustly achieves this goal without any assumptions other than feasibility. Specifically, ...

1. Abstract The aim of this work is to introduce an adaptive strategy to monitor the rate of convergence of a Newtonlike method in shape optimization. Numerical solution of this problem involves numerical representation of the domain, optimization algorithms and numerical solution of the state equation, a partial differential equation. Newtons like algorithms are often computationally intensive...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

In this paper, we show a significant role that geometric properties of uncertainty sets, such as symmetry, play in determining the power of robust and finitely adaptable solutions in multistage stochastic and adaptive optimization problems. We consider a fairly general class of multistage mixed integer stochastic and adaptive optimization problems and propose a good approximate solution policy ...

routines for approximate solution of dense quadratic assignment problems A greedy randomized adaptive search procedure for the quadratic assignment problem, in Quadratic assign-for approximate solution of sparse quadratic assignment problems using

an attempt was made to investigate the thermal and residual stress distribution in a novel three layer (la 2 zr 2 o 7 / 8ysz/ nicraly) during a real-like heating regime which includes heating, service time and final cooling. for achieving maximum accuracy and consistency in calculation of thermal and mechanical properties of hybrid coating system, all related andrequired properties were introdu...

We present 2 adaptive refinement techniques, namely, adaptive local refinement and adaptive hierarchical refinement, for isogeometric analysis. An element-wise point of view is adopted, exploiting Bézier extraction, which facilitates the implementation of adaptive refinement in isogeometric analysis. Locally refined and hierarchical T-splines are used for the description of the geometry as well...

In consideration of AdeLE (Adaptive e-Learning with Eye Tracking), a research project with the aim to develop and implement a solution framework for personalised elearning based on real-time user behaviour, this paper examines the main approaches to adaptive e-learning based on a research on the history of adaptive instructional learning. Furthermore, an exemplary selection of systems resulted ...

Authoring of Adaptive Educational Hypermedia is a complex activity requiring the combination of a range of design and validation techniques. We demonstrate how Adaptive Educational Hypermedia can be transformed into CAVIAr courseware validation models allowing for its validation. The model-based representation and analysis of different concerns and model-based mappings and transformations are k...