In this paper, a new hybrid unscented Kalman (UKF) and unscented H∞(UH∞ F) filter is
presented that can adaptively adjust its performance better than that of either UKF and/or …

Purpose The main reason for the low accuracy of magnetometer-based autonomous orbit
determination is the coarse accuracy of the geomagnetic field model. Furthermore, the …

Today, unmanned vehicles get involved in challenging missions like search and rescue,
surveillance, recognition, border patrolling, and other information-gathering roles. These …

The most commonly used algorithm in real-time control systems, such as the control of the
movement of vehicles (especially, automobiles, ships, aircraft, and spacecraft), robotic …

In this study, the filtering problem is investigated for both linear and non‐linear systems. A
new generalised proportional–integral–derivative filter (GPIDF) is proposed by introducing …

Traditional unscented Kalman filtering (UKF) cannot solve the filtering problem for nonlinear
systems with colored measurement noises and one-step randomly delayed measurements …

Recent years have seen a concurrent development of new sensor technologies and high-
fidelity modeling capabilities. At the junction of these two topics lies an interesting …

One of the most important problems in control engineering is state estimation of a dynamical
system based on measured data corrupted by noises. One of the most popular algorithms …

One of the most important problems in control engineering is state estimation of a dynamical
system based on measured data corrupted by noises. One of the most popular algorithms …

یکی از مهم‌ترین مشکلات در مهندسی کنترل تخمین متغیرهای حالت یک سیستم دینامیکی با
استفاده از داده های اندازه‌گیری شده مخدوش با نویز است. تخمین به کمک فیلتر ترکیبی کالمن/اچ …‎