Results 61 to 70 of about 3,435,907 (207)

Envelope-constrained H∞ filtering for nonlinear systems with quantization effects: The finite horizon case

at - Automatisierungstechnik, 2018
This paper is concerned with the envelope-constrained H ∞ filtering problem for a class of discrete nonlinear stochastic systems subject to quantization effects over a finite horizon.
Lifeng Ma, Zidong Wang, Q. Han, H. Lam
semanticscholar   +1 more source

Latent Abstractions in Generative Diffusion Models

Entropy
In this work, we study how diffusion-based generative models produce high-dimensional data, such as images, by relying on latent abstractions that guide the generative process. We introduce a novel theoretical framework extending Nonlinear Filtering (NLF)
Giulio Franzese, Mattia Martini, Giulio Corallo, Paolo Papotti, Pietro Michiardi   +4 more
doaj   +1 more source

Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise

IEEE Access, 2018
A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter (KF), and measurement update ...
Lijian Yin, Zhihong Deng, Baoyu Huo, Yuanqing Xia, Cheng Li   +4 more
doaj   +1 more source

A neural implementation for nonlinear filtering

ArXiv, 2015
The computational task of continuous-time state estimation, nonlinear filtering and identification, i.e.~parameter learning, poses a class of interesting problems, which mathematicians have been working on for over 50 years and which has received increasing attention in both machine-learning and neuroscience communities.
Kutschireiter Anna, Surace Simone Carlo, Sprekeler Henning, Pfister Jean-Pascal   +3 more
openaire   +2 more sources

Intelligent State-Constrained Control for Servo Valves via Neural Network-Based Real-Time Compensation

Actuators
Rotary direct-drive servo valves (RDDSVs) have gained significant attention in high-performance electro-hydraulic servo systems due to their compact structure, rapid dynamic response, and high power density.
Jichun Chen, Xiaowei Yang, Jianyong Yao, Chuanjie Lu   +3 more
doaj   +1 more source

A Robust Tracking Method for Aerial Extended Targets with Space-Based Wideband Radar

Remote Sensing
Space-based radar systems offer significant advantages for air surveillance, including wide-area coverage and extended early-warning capabilities. The integrated design of detection and imaging in space-based wideband radar further enhances its accuracy.
Linlin Fang, Yuxin Hu, Lihua Zhong, Lijia Huang   +3 more
doaj   +1 more source

A Concept of Approximated Densities for Efficient Nonlinear Estimation

EURASIP Journal on Advances in Signal Processing, 2002
This paper presents the theoretical development of a nonlinear adaptive filter based on a concept of filtering by approximated densities (FAD). The most common procedures for nonlinear estimation apply the extended Kalman filter.
Virginie F. Ruiz
doaj   +1 more source

Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations. [PDF]

Sensors (Basel), 2020
Borisov A, Bosov A, Miller B, Miller G.
europepmc   +1 more source

Estimation of Traffic Stream Density Using Connected Vehicle Data: Linear and Nonlinear Filtering Approaches. [PDF]

Sensors (Basel), 2020
Aljamal MA, Abdelghaffar HM, Rakha HA.
europepmc   +1 more source

Joint pre-processing framework for two-dimensional gel electrophoresis images based on nonlinear filtering, background correction and normalization techniques. [PDF]

BMC Bioinformatics, 2020
Goez MM, Torres-Madronero MC, Rothlisberger S, Delgado-Trejos E.   +3 more
europepmc   +1 more source