Results 261 to 270 of about 3,623,641 (323)

A Novel Fault-Prognostic Approach Based on Interacting Multiple Model Filters and Fuzzy Systems

IEEE transactions on industrial electronics (1982. Print), 2019
An interacting multiple model (IMM) filter is a recognized method for adaptive estimation of states that is often necessary to characterize the behavior of dynamic systems with a multiple-mode operation.
L. B. Cosme, W. Caminhas, M. D’Angelo, R. Palhares   +3 more
semanticscholar   +1 more source

Maneuvering Target Tracking using the Autoencoder-Interacting Multiple Model Filter

Asilomar Conference on Signals, Systems and Computers, 2020
This paper considers the problem of tracking and predicting the state of a dynamic system with stochastic dynamics and multiple modes of operation. A well-known approach to this problem is the "interacting multiple model" (IMM) estimator, which uses ...
Kirty Vedula, Matthew L. Weiss, R. Paffenroth, J. Uzarski, D. Brown   +4 more
semanticscholar   +1 more source

Experimental verification of lithium-ion battery prognostics based on an interacting multiple model particle filter

Transactions of the Institute of Measurement and Control, 2020
A new data-driven prognostic method based on an interacting multiple model particle filter (IMMPF) is proposed for use in the determination of the remaining useful life (RUL) of lithium-ion (Li-ion) batteries and the probability distribution function ...
Shuai Wang, Wei Han, Lifei Chen, Xiaochen Zhang, M. Pecht   +4 more
semanticscholar   +1 more source

Multiple Models — Fixed, Switching, Interacting

2004
In dynamic models the dynamic and the observation equations are based on a known system model. The multiple model approach introduces uncertainties about the system model by a set of possible system models. In the multiple model approach for fixed models the true system does not change during the whole observation process, wheareas in the approach for ...
Brigitte Gundlich, Peter Teunissen
openaire   +1 more source

Prognostics by interacting multiple model estimator

2016 IEEE International Conference on Prognostics and Health Management (ICPHM), 2016
In prognostics, the modeling of the failure models is complicated even for a single component, such as fatigue crack growth. For a complex system, there are a large number of components, and hence the failing models can be even more complicated due to diverse sub-systems and their components.
Yanjun Yan, Mahendra Mallick, James Z. Zhang, Jie Liu   +3 more
openaire   +1 more source

Performance Prediction of the Interacting Multiple Model Algorithm

1992 American Control Conference, 1992
The Interacting Multiple Model (IMM) algorithm has been shown to be one of the most cost-effective hybrid state estimation schemes. Its performance, however, could only be evaluated via expensive Monte-Carlo simulations. An effective approach to the performance evaluation without recourse to simulations is presented in this paper.
X.R. Li, Y. Bar-Shalom
openaire   +1 more source

UV communications channel modeling incorporating multiple scattering interactions

Journal of the Optical Society of America A, 2011
In large part because of advancements in the design and fabrication of UV LEDs, photodetectors, and filters, significant research interest has recently been focused on non-line-of-sight UV communication systems. This research in, for example, system design and performance prediction, can be greatly aided by accurate channel models that allow for the ...
Robert J, Drost, Terrence J, Moore, Brian M, Sadler   +2 more
openaire   +2 more sources

An interacting multiple model approach to model-based prognostics

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
A system wide prognostic process is required to fulfill the needs of expensive and high availability industrial systems. The recent advances in model-based design technology have facilitated the integration of model-based diagnosis and prognosis of systems, leading to condition-based maintenance.
null Jianhui Luo, A. Bixby, K. Pattipati, null Liu Qiao, M. Kawamoto, S. Chigusa   +5 more
openaire   +1 more source

Augmented Human State Estimation Using Interacting Multiple Model Particle Filters With Probabilistic Data Association

IEEE Robotics and Automation Letters, 2018
The accurate human gait tracking is an important factor for various robotic applications, such as robotic walkers aiming to provide assistance to patients with different mobility impairment, social robot companions, etc.
G. Chalvatzaki, X. Papageorgiou, C. Tzafestas, P. Maragos   +3 more
semanticscholar   +1 more source

Polynomial Model Set and its Interacting Multiple Model Algorithms

Advanced Materials Research, 2012
From the maneuvering target orbit on the geometrical properties, according to different motion modes track corresponding to different order number polynomial curve, using the least squares fitting structure, this paper gives out a group of various motion modes matching the mathematical model—polynomial model set (PMS), and gives distinct mathematical ...
Jin Xiao Zhao, Jian Qiu Zhang, Dong Ming Zhou   +2 more
openaire   +1 more source