We present a stochastic optimization model for hotel revenue management with multipleday stays under an uncertain environment. Since a decision maker may face several scenarios when renting out rooms, we use a semi-absolute deviation model to measure the risk of hotel revenue, and only consider the risk of falling below the expected revenue. The method proposed in this paper can be changed to a...

We present numerical results for two reconstruction methods for a new planar electrical impedance tomography device. This prototype allows noninvasive medical imaging techniques if only one side of a patient is accessible for electric measurements. The two reconstruction methods have different properties: one is a linearization-type method that allows quantitative reconstructions; the other one...

In this paper, we propose a new algorithm to solve the 7 parameters transformation problem. Using Gröbner bases techniques and solving polynomial systems, we find, in a direct manner and without the need of a linearization, the values of the translation, rotation and a scale factor. Then, with the aid of simulated data, we will confront the algorithm to all sorts of configurations. Finally, we ...

[1] I. Bietti, E. Ternporitil, G. Albasini, and R. Castello, “An UMTS sigma delta fractional synthesizer with 200 kHz bandwidth and 128 dBc/Hz at 1 MHz using spurs compensation and linearization techniques,” in Proc. IEEE Custom Integrated Circuits Conf., Sep. 2003, pp. 463–466. [2] S. Pamarti, L. Jansson, and I. Galton, “A wideband 2.4-GHz delta-sigma fractional-N PLL with 1-Mb/s in-loop modul...

The aim of this paper is to introduce a technique for describing trajectories of systems of ordinary differential equations (ODEs) passing near saddle-fixed points. In contrast to classical linearization techniques, the methods of this paper allow for perturbations of the underlying vector fields. This robustness is vital when modelling systems containing small uncertainties, and in the develop...

Model checking invariant properties of designs, represented as transition systems, with non-linear real arithmetic (NRA), is an important though very hard problem. On the one hand NRA is a hard-to-solve theory; on the other hand most of the powerful model checking techniques lack support for NRA. In this paper, we present a counterexample-guided abstraction refinement (CEGAR) approach that leve...

Most of the techniques which are used for the electromagnetic imaging of the subsurface have in common that they mathematically define nonlinear inverse problems which are moreover severely ill-posed. This makes it extremely difficult to derive reconstruction algorithms which have the potential of being applied successfully not only to synthetically created data, but also to real data which are...

The response of strongly nonlinear dynamic systems to stochastic excitation exhibits many interesting characteristics. In this paper, excitation forms like white noise and Gaussian band limited noise are applied to a bilinear system. The nonlinear characteristics cannot be represented sufficiently accurate using statistical linearization techniques. Integration techniques have to be used. The e...

Studies have shown that feedback linearization can provide an effective controller for many types of nonlinear systems. It is known, however, that these controllers are not robust, in particular to model uncertainties as the feedback linearization process involves canceling of nonlinearities in the dynamics using an exact model which is seldom available. Although there are several strategies to...

By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques are applied to neural model, such that the identification error is bounded and the weights are different from zero. Then, a linearization controller is designed based on the neuro identifier. Since the approximation capability ...