@article{SitzSchwarzKurths2004, author = {Sitz, Andre and Schwarz, Udo and Kurths, J{\"u}rgen}, title = {The unscented Kalman filter : a powerful tool for data analysis}, year = {2004}, language = {en} } @article{WesselAssmusWeidermannetal.2004, author = {Wessel, Niels and Aßmus, Joerg and Weidermann, Frank and Konvicka, Jan and Nestmann, S. and Neugebauer, R. and Schwarz, Udo and Kurths, J{\"u}rgen}, title = {Modeling thermal displacements in modular tool systems}, year = {2004}, abstract = {In the last decade, there has been an increasing interest in compensating thermally induced errors to improve the manufacturing accuracy of modular tool systems. These modular tool systems are interfaces between spindle and workpiece and consist of several complicatedly formed parts. Their thermal behavior is dominated by nonlinearities, delay and hysteresis effects even in tools with simpler geometry and it is difficult to describe it theoretically. Due to the dominant nonlinear nature of this behavior the so far used linear regression between the temperatures and the displacements is insufficient. Therefore, in this study we test the hypothesis whether we can reliably predict such thermal displacements via nonlinear temperature-displacement regression functions. These functions are estimated firstly from learning measurements using the alternating conditional expectation (ACE) algorithm and then tested on independent data sets. First, we analyze data that were generated by a finite element spindle model. We find that our approach is a powerful tool to describe the relation between temperatures and displacements for simulated data. Next, we analyze the temperature-displacement relationship in a silent real experimental setup, where the tool system is thermally forced. Again, the ACE-algorithm is powerful to estimate the deformation with high precision. The corresponding errors obtained by using the nonlinear regression approach are 10-fold lower in comparison to multiple linear regression analysis. Finally, we investigate the thermal behavior of a modular tool system in a working milling machine and get again promising results. The thermally induced errors can be estimated with 1-2\${mu m}\$ accuracy using this nonlinear regression analysis. Therefore, this approach seems to be very useful for the development of new modular tool systems.}, language = {en} } @article{KopitzkiWarnkeSaparinetal.2002, author = {Kopitzki, K. and Warnke, P. C. and Saparin, Peter and Kurths, J{\"u}rgen and Timmer, Jens}, title = {Comment on "Kullback-Leibler and renormalized entropies: Applications to electroencephalograms of epilepsy patients"}, year = {2002}, language = {en} } @article{ZhangHuHuetal.2002, author = {Zhang, H. and Hu, B. and Hu, G. and Ouyang, Q. and Kurths, J{\"u}rgen}, title = {Turbulence control by developing a spiral wave with a periodic signal injection in the complex Ginzburg-Laundau equation}, year = {2002}, language = {en} } @article{TokudaKurthsRosa2002, author = {Tokuda, I. and Kurths, J{\"u}rgen and Rosa, Epaminondas}, title = {Learning phase synchronization from nonsynchronized chaotic regimes}, year = {2002}, language = {en} } @article{BoccalettiValladaresKurths2000, author = {Boccaletti, Stefano and Valladares, D. L. and Kurths, J{\"u}rgen}, title = {Synchronization of chaotic structurally nonequivalent systems}, year = {2000}, language = {en} } @article{ZaksParkKurths2000, author = {Zaks, Michael A. and Park, Eun Hyoung and Kurths, J{\"u}rgen}, title = {On phase synchronization by periodic force in chaotic oscillators with saddle equilibria}, year = {2000}, language = {en} } @article{ZhouKurthsKissetal.2002, author = {Zhou, Changsong and Kurths, J{\"u}rgen and Kiss, Istvan Z. and Hudson, J. L.}, title = {Noise-enhanced phase synchronization of chaotic oscillators}, year = {2002}, language = {en} } @article{BoccalettiKurthsOsipov2002, author = {Boccaletti, Stefano and Kurths, J{\"u}rgen and Osipov, Grigory V.}, title = {The synchronization of chaotic systems}, year = {2002}, language = {en} }