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Nonlinear control for collision-free navigation of UAV fleet
Sliding mode control Collision free navigation UAV coordination
2024/1/23
This paper presents the development of a cooperation scheme among unmanned aerial vehicle (UAV). Sliding mode control technique is used to guarantee that the set of robots can follow a reference traje...
Nonlinear mixed-effects scalar-on-function models and variable selection
Canonical correlation Functional least angle regression (fLARS) Gaussian process prior Movement data Scalar-on-function regression Variable selection
2024/1/11
This paper is motivated by our collaborative research and the aim is to model clinical assessments of upper limb function after stroke using 3D-position and 4D-orientation movement data. We present a ...
Nonlinear Mixed Effect Model Used in a Simulation of the Impact of Climate Change on Height Growth of?Cyclobalanopsis glauca
RegCM downscaling climate sensitive tree species nonlinear mixed effect model height growth of tree tree species diversity
2023/12/1
Localized climate is sensitive to terrain, underlying surface material, building distribution, green coverage and CO2?emissions. The Regional Climate Model (RegCM) was used to make a statistical detai...
Nonlinear mixed effect height-diameter model for mixed species forests in the central part of the Czech Republic
height-diameter relationship multi-layered forest stand model localization Naslund’s model prediction error
2016/11/11
Various forest models that estimate volume, site index, growth and yield, biomass, and sequestrated carbon amounts are based on the information of the tree heights. The tree heights are obtained eithe...
Use of nonlinear programming to determine the economically optimal energy density in laying hens diet during phase 1
Energy feed formulation laying hens nonlinear programming
2011/1/12
This study was designed to show the advantage of nonlinear programming in diet formulation. A nonlinear programming Excel workbook was developed that used the Excel solver to optimize energy density a...
Nonlinear dynamic analysis of mitral valve doppler signals: surrogate data analysis
Doppler mitral valve largest lyapunov exponent correlation dimension surrogate data ROC
2010/3/17
In our study, the nonlinear dynamics of mitral valve Doppler signals from 32 healthy and 28 patients with mitral valve stenosis was evaluated using by the computation of Lyapunov exponents, correlatio...
Building linear parameter varying models using adaptation, for the control of a class of nonlinear systems
Linear parameter varying (LPV) systems nonlinear systems adaptive systems self-scheduling
2010/3/17
In this paper a novel method is proposed for constructing linear parameter varying (LPV) system models through adaptation. For a class of nonlinear systems, an LPV model is built using its linear part...
Comparing Neural Networks, Linear and Nonlinear Regression
Artificial neural networks bulk density cone index regression models water content
2009/1/8
Penetration resistance (PR) is an important property of soils, and can be expressed as cone index (CI). Because of high variability, there are no accurate and representative PR data in most cases. Va...