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Nonlinear Modeling (nonlinear + modeling)
Selected AbstractsSpecial Issue on ,Nonlinear Modeling, Analysis, and Simulation for Earthquake Engineering' Earthquake Engineering and Structural Dynamics (EQE)EARTHQUAKE ENGINEERING AND STRUCTURAL DYNAMICS, Issue 15 2007Gregory L. Fenves Guest Editor No abstract is available for this article. [source] Nonlinear Modeling and Tracking Control of a Hydraulic Rotary Vane ActuatorPROCEEDINGS IN APPLIED MATHEMATICS & MECHANICS, Issue 1 2005Frank Heidtmann Rotary vane actuators as rotational drives provide rotational movements directly because they are constructed as a joint and actuator in one. So it is possible to pass on the disadvantageous transmission kinematics used with the so far usual differential cylinders at the arms of large manipulators. However, the use of hydraulic rotary vane actuators is associated with high internal oil leakage and/or high friction. Therefore, a nonlinear dynamic model for such an actuator, driving a rigid robot arm, as well as its nonlinear control are derived. To achieve tracking control a model based control law is set up using fundamental linear differential equations for the tracking error. The control law is implemented and tested on a testbed, the produced experimental results are presented. The same control algorithm can also be used to realize nonlinear disturbance attenuation for hydraulic rotary vane actuators via tracking control. (© 2005 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [source] Nonlinear modeling of protein separation in a preparative-scale dynamic field gradient focusing instrumentAICHE JOURNAL, Issue 1 2009Noah I. Tracy Abstract Dynamic field gradient focusing (DFGF) uses an electric field gradient opposed by a counter-flow of buffer to separate milligrams of proteins according to their electrophoretic mobilities. A nonlinear model of protein separation in a preparative-scale DFGF device was developed to aid in refining the instrument's design and finding optimal run conditions prior to performing experiments. The model predicted the focal points of bovine serum albumin (BSA), and bovine hemoglobin (Hb) to within the 95% confidence intervals about the means of the experimental values. The resolution between the proteins in the model was 2.08, which was 3% less than the lower limit of the 95% confidence interval about the experimental value. The model predicted 67% more dispersion than was present in the experimental device, which made the simulated BSA peak 22% wider than the experimentally measured width. © 2008 American Institute of Chemical Engineers AIChE J, 2009 [source] DC or pulse I(V) measurements to simulate transmission line class E power amplifiersMICROWAVE AND OPTICAL TECHNOLOGY LETTERS, Issue 9 2006J. R. Loo-Yau Abstract In FET I(V) nonlinear modeling, the I(V) experimental data are important because they allow one to determine the initial values of the empirical nonlinear model. Pulsed I(V) are preferred over DC measurements because of dispersion phenomena. However, the simulation of a class E PA using I(V) empirical nonlinear model constructed from DC or pulsed measurements to predicts values of PAE, gain, and efficiency are similar. Although this fact can be predictable or evident, because the transistor works in the region where heating and dispersion effects are small, this has not been experimentally demonstrated yet. Therefore the main purpose of this work is to determine whether pulse or DC I(V) measurements are suitable to develop the nonlinear model in order to predict the main features of a transmission line class E PA as Pout, drain efficiency, and PAE. The simulations using both types of data were compared with two experimental transmission line class E PA, designed at 0.8 and 1.9 GHz. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48:1886,1890, 2006; Published online in Wiley InterScience (www.interscience.wiley.com(. DOI 10.1002/mop.21794 [source] | ||||||||||