Results 61 to 70 of about 39,931 (297)

Adaptive polynomial Kalman filter for nonlinear state estimation in modified AR time series with fixed coefficients

IET Control Theory & Applications
This article presents a novel approach for adaptive nonlinear state estimation in a modified autoregressive time series with fixed coefficients, leveraging an adaptive polynomial Kalman filter (APKF).
Dileep Sivaraman, Songpol Ongwattanakul, Branesh M. Pillai, Jackrit Suthakorn   +3 more
doaj   +1 more source

Riemannian Trust-Region based Adaptive Kalman filter with unknown noise Covariance matrices [PDF]

, 2021
Rahul Moghe, Maruthi R. Akella, Renato Zanetti   +2 more
openalex   +1 more source

Linear estimation in Krein spaces. Part II. Applications [PDF]

, 1996
We have shown that several interesting problems in H∞-filtering, quadratic game theory, and risk sensitive control and estimation follow as special cases of the Krein-space linear estimation theory developed in Part I. We show that all these problems can
Hassibi, Babak, Kailath, Thomas, Sayed, Ali H.   +2 more
core  

A Nonparametric Adaptive Nonlinear Statistical Filter

, 2014
We use statistical learning methods to construct an adaptive state estimator for nonlinear stochastic systems. Optimal state estimation, in the form of a Kalman filter, requires knowledge of the system's process and measurement uncertainty.
Busch, Michael, Moehlis, Jeff
core   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter

Entropy, 2023
Accurate acquisition of vehicle dynamics state information is essential for vehicle active safety control systems. However, these states cannot be easily measured, and the measurement is expensive.
Dengliang Qi, Jingan Feng, Yongbin Li, Lei Wang, Bao Song   +4 more
doaj   +1 more source

Terrestrial Cyborg Insects for Real‐Life Applications

Advanced Intelligent Systems, EarlyView.
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le, Lachlan Fitzgerald, Phuoc Thien Phan, Robbie Wilson, Christofer Clemente, Huu Duoc Nguyen, Hirotaka Sato, Hoang‐Phuong Phan, Peter Ross McAree, Thanh Nho Do, Tat Thang Vo‐Doan   +10 more
wiley   +1 more source

Improved Cubature Kalman Filtering on Matrix Lie Groups Based on Intrinsic Numerical Integration Error Calibration with Application to Attitude Estimation

Machines, 2022
This paper investigates the numerical integration error calibration problem in Lie group sigma point filters to obtain more accurate estimation results.
Huijuan Guo, Yan Zhou, Huiying Liu, Xiaoxiang Hu   +3 more
doaj   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

Advanced Intelligent Systems, EarlyView.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

An Ultra-Short Baseline Underwater Positioning System with Kalman Filtering

Sensors, 2020
The ultra-short baseline underwater positioning is one of the most widely applied methods in underwater positioning and navigation due to its simplicity, efficiency, low cost, and accuracy.
Qinghua Luo, Xiaozhen Yan, Chunyu Ju, Yunsai Chen, Zhenhua Luo   +4 more
doaj   +1 more source