Efficient Improved Estimation Method for Non-Gaussian Regression from Discrete Data

2021 ◽  
pp. 164-177
Author(s):  
Evgeny Pchelintsev ◽  
Serguei Pergamenshchikov
Keyword(s):  
Estimation Method ◽  
Discrete Data ◽  
Non Gaussian ◽  
Gaussian Regression

scholarly journals Differential-drive mobile robot control using a cloud of particles approach

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668055 ◽  
Author(s):  
Walter Fetter Lages ◽  
Jorge Augusto Vasconcelos Alves
Keyword(s):  
Pose Estimation ◽  
Equivalence Principle ◽  
Estimation Method ◽  
Control Action ◽  
Certainty Equivalence ◽  
Processing Power ◽  
Common Control ◽  
Markov Decision ◽  
Deterministic Control ◽  
Non Gaussian

Common control systems for mobile robots include the use of some deterministic control law coupled with some pose estimation method, such as the extended Kalman filter, by considering the certainty equivalence principle. Recent approaches consider the use of partially observable Markov decision process strategies together with Bayesian estimators. These methods are well suited to handle the uncertainty in pose estimation but demand significant processing power. In order to reduce the required processing power and still allow for multimodal or non-Gaussian uncertain distributions, we propose a scheme based on a particle filter and a corresponding cloud of control signals. The approach avoids the use of the certainty equivalence principle by postponing the decision on the optimal estimate to the control stage. As the mapping between the pose space and the control action space is nonlinear and the best estimation of robot pose is uncertain, postponing the decision to the control space makes it possible to select a better control action in the presence of multimodal and non-Gaussian uncertainty models. Simulation results are presented.

Quality-Related Locally Weighted Non-Gaussian Regression Based Soft Sensing for Multimode Processes

2018 ◽  
Vol 57 (51) ◽  
pp. 17452-17461 ◽  
Author(s):  
Yuchen He ◽  
Binbin Zhu ◽  
Chenyang Liu ◽  
Jiusun Zeng
Keyword(s):  
Soft Sensing ◽  
Non Gaussian ◽  
Gaussian Regression

scholarly journals Histogram selection in non Gaussian regression

2009 ◽  
Vol 13 ◽  
pp. 70-86 ◽  
Author(s):  
Marie Sauvé
Keyword(s):  
Non Gaussian ◽  
Gaussian Regression
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