Results 91 to 100 of about 1,473,129 (216)

Initial State Privacy of Nonlinear Systems on Riemannian Manifolds

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley   +1 more source

Speech Signal Enhancement Using Linear Predictive Coefficients Adaptive Filter

open access: yesTehnički Glasnik
The linear predictive coding (LPC) is a technique that is widely utilized in speech processing, especially in speech spectral envelope modelling, where the aim is to estimate the vocal tract resonances.
Rehab I. Ajel, Tariq A. Hassan
doaj   +1 more source

Adaptive ensemble Kalman filtering of non-linear systems

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2013
A necessary ingredient of an ensemble Kalman filter (EnKF) is covariance inflation, used to control filter divergence and compensate for model error. There is an on-going search for inflation tunings that can be learned adaptively.
Tyrus Berry, Timothy Sauer
doaj   +1 more source

Linear System Identification and Control of a Low‐Cost High‐Performance Omnidirectional Marine Surface Vehicle for Swarming Applications

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah   +4 more
wiley   +1 more source

Design of a Novel Gripping Mechanism and Dual Manipulator Robotic System for Apple Harvesting Using Tractor

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The architecture of apple orchards can be converted to easier operation by implementing the use of a low‐cost, tractor‐mounted, dual manipulator based on a robotic harvesting system with lower degrees of freedom (DoF). To accurately avoid injuries by detecting apples, an efferent, real‐time vision system that includes a new gripping mechanism ...
R. M. Rasika D. Abeyrathna   +3 more
wiley   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer   +12 more
wiley   +1 more source

Adaptive MSSRCPF filtering based on constrained optimization and fading memory for SINS/GNSS integrated navigation

open access: yesMeasurement + Control
To address particle degeneracy and the challenge of selecting importance density functions in traditional particle filters for complex nonlinear systems, we propose an adaptive mixed-order spherical simplex-radial cubature particle filter algorithm based
Ning Wang, Fanming Liu
doaj   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

A comparison of adaptive and conventional Kalman filters in a missle application [PDF]

open access: yes, 1986
Kalman filters are used to obtain an estimate of a signal from a set of noisy measurements. Conventional Kalman filters require linear systems in which all variations in the process parameters are known.
Sklar, Mary Margaret Krug
core   +1 more source

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