Focusing on low navigation performance of small unmanned aerial rotorcraft under complex
environment, a composite navigation method combined with adaptive Kalman filtering and …

The fault tolerant integrated navigation system, consisting of radar and inertial altimeters, is
presented. In the open loop system, the inertial altimeter is the main source of information …

This paper presents a novel tuning method for complementary filter exploited for attitude
estimation. The complementary filter is the choice of the day in fields where computational …

Purpose There are shortcomings of modern methods of ensuring the stability of Kalman
filtration in unmanned vehicles'(UVs) navigation systems under the condition of a priori …

Abstract Model predictive control is a powerful method for controlling multivariable systems,
in particular when constraints have to be taken into account. However, MPC also has …

This paper addresses the problem of integration of Inertial Navigation System (INS) and
Global Navigation Satellite System (GNSS) for the purpose of developing a low-cost, robust …

An adaptive divided difference filter for joint estimation of parameters and states of a non‐
linear signal model has been proposed. The adaptive non‐linear estimator, developed on …

The 2011 Mw 9.0 Tohoku-Oki earthquake was the most disastrous known event in Japan,
triggering a powerful tsunami wave with a maximum amplitude of∼ 40 m (Mori et al., 2012) …

A covariance scaling based robust adaptive Kalman filter (RAKF) algorithm is developed for
the case of sensor/actuator faults. The proposed RAKF uses variable scale factors for …

Network entities with synchronized clocks are an enabler for many interesting and
innovative applications. Localization of mobile WLAN devices by means of propagation …