Results 221 to 230 of about 13,707 (269)

UKF-Based Optimal Tracking Control for Uncertain Dynamic Systems With Asymmetric Input Constraints

IEEE Transactions on Cybernetics
To enhance system robustness in the face of uncertainty and achieve adaptive optimization of control strategies, a novel algorithm based on the unscented Kalman filter (UKF) is developed.
Ning Liu, Kun Zhang, Xiangpeng Xie, Dong Yue   +3 more
semanticscholar   +1 more source

Improvement of UKF Algorithm and Robustness Study

2009 International Workshop on Intelligent Systems and Applications, 2009
Iterated unscented Kalman filter (IUKF) algorithm has improved the unscented Kalman filter (UKF) and enhanced the performance of filter estimation by using Newton-Raphson iterative equation. This paper improves IUKF algorithm ulteriorly after detailedly analyzing principle of IUKF and its iterative equation, and proposes a new filtering algorithm with ...
Zhong-Kai Mou, Li-Fen Sui
openaire   +1 more source

Improved Battery SOC Estimation Accuracy Using a Modified UKF With an Adaptive Cell Model Under Real EV Operating Conditions

IEEE Transactions on Transportation Electrification, 2018
Electric vehicles (EVs) require reliable and very accurate battery state-of-charge (SOC) estimation to maximize their performance. A commonly used estimation technique, the extended Kalman filter (EKF), provides an accurate estimate of the SOC.
Menatalla Shehab El Din, A. Hussein, M. Abdel-Hafez   +2 more
semanticscholar   +1 more source

An SLAM algorithm based on improved UKF

2012 24th Chinese Control and Decision Conference (CCDC), 2012
Because of using system nonlinear model directly UKF overcomes the shortcomings of the methods such as EKF that they easily introduces truncation errors in the process of lining model .So it is widely used in SLAM problem. Because the square root of filter has the advantages that it can ensure the covariance matrix nonnegative, a square root version of
null Liping Qu, null Shuiqing He, null Yongyin Qu   +2 more
openaire   +1 more source

A Novel UKF-RBF Method Based on Adaptive Noise Factor for Fault Diagnosis in Pumping Unit

IEEE Transactions on Industrial Informatics, 2019
Fault detection and diagnosis in the pumping unit is a challenging industrial problem for the system that exhibits nonlinearity, coupled parameters, and time-varying noise.
W. Zhou, Xiaoliang Li, Jun Yi, Haibo He
semanticscholar   +1 more source

Performance Analysis of UKF for Nonlinear Problems

2009 Third International Symposium on Intelligent Information Technology Application, 2009
Unscented Kalman filter (UKF) is a class of nonlinear filtering methods based on unscented transform within the Kalman filter framework. It is in light of the intuition that to approximate a probability distribution by a set of deterministic samples is easier than to approximate an arbitrary nonlinear transform.
Guanglin Li, Fuming Sun, Na Cheng
openaire   +1 more source

Study on expansion and non-expansion of UKF

2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC), 2011
It is usually accepted that UKF can be used in the form of state non-expansion when noise is additive, in order to prove it incorrect, we made use of scaled symmetric set unscented transformation to deduce and explain the difference in the situation of complicated additive noise model, theory deduction results indicated there were differences between ...
Li Heng, Zhang Jing-yuan, Luo Xuan
openaire   +1 more source

Adaptive UKF-based model predictive control of a Fresnel collector field

, 2020
One of the ways to improve the efficiency of solar energy plants is by using advanced control and optimization algorithms. In particular, model predictive control strategies have been applied successfully in their control.
A. Gallego, Adolfo J. Sánchez, M. Berenguel, E. Camacho   +3 more
semanticscholar   +1 more source

An adaptive UKF with noise statistic estimator

2009 4th IEEE Conference on Industrial Electronics and Applications, 2009
The normal unscented Kalman filter (UKF) suffers from performance degradation and even divergence while mismatch between the noise distribution assumed to be known as a priori by UKF and the true ones in a real system. In order to improve the performance of the UKF with uncertain or timevarying noise statistic, a novel adaptive UKF with noise statistic
null Lin Zhao, null Xiaoxu Wang
openaire   +1 more source

Improved Performance of Adaptive UKF SLAM with Scaling Parameter

2023
Simultaneous Localization and Mapping (SLAM) deals with simultaneous mappingand estimates the position of a robot moving in an environment. One of the most commonmethod used in solving the SLAM problem is Extended Kalman Filter (EKF). EKF is anapproach that gives acceptable results in the ideal simulation environment when the systemmodel is known ...
Navruz, Tuğba Selcen, Karaçam, SERHAT, Yalçın, Kübra   +2 more
openaire   +2 more sources