For more than two decades, the issue of simultaneous localization and mapping (SLAM) has
gained more attention from researchers and remains an influential topic in robotics …

In most of the existing literature, disturbance observer theory has been developed only for
constant disturbance, while in the present work, by defining the disturbance as a state …

Square-root unscented Kalman filter (SRUKF) is a widely used state estimator for several
state of-the-art, highly nonlinear, and critical applications. It improves the stability and …

Due to their nonlinear behavior and the harsh environments to which batteries are
subjected, they require a robust battery monitoring system (BMS) that accurately estimates …

Wind speed measurement depends on the efficiency of the anemometer sensors. In fact, the
anemometer wind speed sensors, mounted on top of the wind turbine nacelle, give the wind …

Appropriate position estimation of electric actuator is one of the most important stages in the
control and automation processes. Considering various applications including robotics and …

The using of an autonomous wheeled mobile robot (AWMR) that perform diverse processes
in a numerous number of applications without human's interposition in an unknown …

This paper investigates the L p filtering problem for linear dynamic systems. The main
objective is to discuss the optimal filter for non‐Gaussian systems. The filter structure is …

This paper proposes a novel distributed EKF-SLAM system that combines the advantages of
EKF-SLAM and distributed SLAM systems. The system model of this novel SLAM system has …

针对移动机器人同时定位与地图构建(SLAM) 技术中, 非线性系统进行线性化处理所产生的线性
化误差问题, 从费切尔信息角度分析, 提出多次测量更断算法. 该算法利用滤波中预测和各次更新 …