Fast Particle Filters and Their Applications to Adaptive Control in Change-Point ARX Models and Robotics

doi 10.5772/6424
Full Text
Abstract

Available in full text

Date
Authors
Publisher

InTech

Related search

Deterministic and Stochastic Particle Filters in State-Space Models

2001English

Adaptive Change-Point Mixed Models Applied to Data on Outpatient Tetracycline Use in Europe

Statistical Modelling
UncertaintyStatisticsProbability
2013English

Adaptive Clustering Techniques and Their Applications

Intelligent Multidimensional Data Clustering and Analysis
2017English

Blockchain Technology With Applications to Distributed Control and Cooperative Robotics: A Survey

International Journal of Robotics and Control
2019English

Adaptive Risk Consensus Models: Simulations and Applications

SN Applied Sciences
2019English

Feature Based Particle Filter Registration of 3D Surface Models and Its Application in Robotics

2013English

Bridging the Ensemble Kalman Filter and Particle Filters: The Adaptive Gaussian Mixture Filter

Computational Geosciences
Computational TheoryComputer Science ApplicationsComputers in Earth SciencesComputational MathematicsMathematics
2010English

Fast Algorithms for Uncertainty Propagation, and Their Applications to Structural Integrity

2008English

Fast and Robust Segmentation and Classification for Change Detection in Urban Point Clouds

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy