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  1. Journal of Control, Automation and Electrical Systems
  2. Journal of Control, Automation and Electrical Systems : Volume 27
  3. Journal of Control, Automation and Electrical Systems : Volume 27, Issue 1, February 2016
  4. Particle-Based Tuning of the Unscented Kalman Filter
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Journal of Control, Automation and Electrical Systems : Volume 29
Journal of Control, Automation and Electrical Systems : Volume 28
Journal of Control, Automation and Electrical Systems : Volume 27
Journal of Control, Automation and Electrical Systems : Volume 27, Issue 6, December 2016
Journal of Control, Automation and Electrical Systems : Volume 27, Issue 5, October 2016
Journal of Control, Automation and Electrical Systems : Volume 27, Issue 4, August 2016
Journal of Control, Automation and Electrical Systems : Volume 27, Issue 3, June 2016
Journal of Control, Automation and Electrical Systems : Volume 27, Issue 2, April 2016
Journal of Control, Automation and Electrical Systems : Volume 27, Issue 1, February 2016
Relative Stability Test for Fractional-Order Interval Systems Using Kharitonov’s Theorem
Particle-Based Tuning of the Unscented Kalman Filter
On Controllability and Normalizability for Linear Descriptor Systems
Design of Fractional-Order Controller for Trajectory Tracking Control of a Non-holonomic Autonomous Ground Vehicle
Modified Shuffled Frog Leaping Algorithm for Improved Pareto-Set Computation: Application to Product Transport in Pipeline Networks
Random PWM Technique for Dual-Inverter-Fed Vector-Controlled Induction Motor Drive
A Model-Based Suboptimal Control to Improve Induction Motor Efficiency
Energetic Efficiency Improvement in Photovoltaic Energy Systems Through a Design Methodology of Static Converter
A Modified Cuckoo Search Algorithm for Improving Voltage Profile and to Diminish Power Losses by Locating Multi-type FACTS Devices
Regenerative Active Electronic Load for Testing Power Transformers Under Linear and Nonlinear Conditions
Journal of Control, Automation and Electrical Systems : Volume 26
Journal of Control, Automation and Electrical Systems : Volume 25
Journal of Control, Automation and Electrical Systems : Volume 24

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Particle-Based Tuning of the Unscented Kalman Filter

Content Provider Springer Nature Link
Author Scardua, Leonardo Azevedo Cruz, José Jaime
Copyright Year 2015
Abstract The unscented Kalman filter (UKF) is one of the most used approximate solutions to the problem of nonlinear filtering. It is relatively easy to implement, and it produces better state estimates than the extended Kalman filter, especially when the nonlinearities of the dynamic system are significant. The quality of the estimates yielded by the UKF is dependent on the tuning of the parameters that govern the unscented transform (UT). To the user, manually tuning the UT means picking proper values for three scalar variables with almost no theoretical guidance. To help relieve the user from this burden, we approach the tuning of the UT parameters as an optimization problem and propose a tuning algorithm based on ideas of the bootstrap particle filter. The proposed algorithm is analyzed and numerically tested against both a set of popular nonlinear filters and a recently published model-based tuning algorithm.
Starting Page 10
Ending Page 18
Page Count 9
File Format PDF
ISSN 21953880
Journal Journal of Control, Automation and Electrical Systems
Volume Number 27
Issue Number 1
e-ISSN 21953899
Language English
Publisher Springer US
Publisher Date 2015-12-11
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword UKF automatic tuning Control UT automatic tuning Control, Robotics, Mechatronics Nonlinear filtering Electrical Engineering Robotics and Automation
Content Type Text
Resource Type Article
Subject Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering Computer Science Applications
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