Results 61 to 70 of about 651,174 (217)
Generalized modes in Bayesian inverse problems
Uncertainty quantification requires efficient summarization of high- or even infinite-dimensional (i.e., non-parametric) distributions based on, e.g., suitable point estimates (modes) for posterior distributions arising from model-specific prior ...
Piiroinen, Petteri +3 more
core +1 more source
Multiscale Modelling and Inverse Problems [PDF]
Submitted to the proceedings of the summer school "Numerical Analysis of Multiscale Problems", edited by I.G. Graham, T.Y. Hou, O. Lakkis and R. Scheichl.
Nolen, James +2 more
openaire +3 more sources
Learning inverse dynamics models with contacts [PDF]
— In whole-body control, joint torques and external forces need to be estimated accurately. In principle, this can be done through pervasive joint-torque sensing and accurate system identification. However, these sensors are expensive and may not be integrated in all links.
Roberto Calandra +4 more
openaire +4 more sources
Applications of recurrent neural networks in batch reactors. Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature [PDF]
Although nonlinear inverse and predictive control techniques based on artificial neural networks have been extensively applied to nonlinear systems, their use in real time applications is generally limited.
Zaldívar, J.M., Galván, Inés M.
core +1 more source
This study proposes the design of a robust controller based on a Sliding Mode Control (SMC) structure. The proposed controller, called Sliding Mode Control based on Closed-Form Continuous-Time Neural Networks with Gravity Compensation (SMC-CfC-G ...
Claudio Urrea +2 more
doaj +1 more source
A four-dimensional variational (4D-Var) data assimilation system for inverse modelling of atmospheric methane emissions is presented. The system is based on the TM5 atmospheric transport model.
Bergamaschi, P. +10 more
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This article presents a tuned control algorithm for the speed and course of a four-wheeled automobile-type robot as a single nonlinear object, developed by the analytical approach of compensation for the object’s dynamics and additive effects. The method
Gennady Shadrin +6 more
doaj +1 more source
Uncertainty quantification and weak approximation of an elliptic inverse problem [PDF]
We consider the inverse problem of determining the permeability from the pressure in a Darcy model of flow in a porous medium. Mathematically the problem is to find the diffusion coefficient for a linear uniformly elliptic partial differential equation ...
Worthington, Claire +14 more
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We employed a global high-resolution inverse model to estimate sectoral methane emissions, integrating observations from the GOSAT-2 satellite for the first time, along with observations from the surface observation network.
Rajesh Janardanan +6 more
doaj +1 more source
The paper presents results of research on an inverse kinematics algorithm that has been used in a functional model of a cucumber-harvesting robot consisting of a redundant P6R manipulator.
Willigenburg, L.G., van +8 more
core +1 more source

