We present a novel formulation that employs task-specific muscle synergies and state-space
representation of neural signals to tackle the challenging myoelectric control problem for …

In this paper an alternative approach to extended Kalman filtering (EKF) for polymer
electrolyte membrane fuel cell (FC) systems is proposed. The goal is to obtain robust real …

High-capacity impulse-radio ultra-wideband (IR-UWB) indoor localization systems are
typically based on the time difference of arrival (TDoA) principle. When the fixed and …

One of the main challenges in developing autonomous transport systems based on
connected and automated vehicles is the comprehension and understanding of the …

In this paper, we present the globally optimal distributed Kalman filtering fusion with singular
covariances of filtering errors and measurement noises. The following facts motivate us to …

摘要基于可穿戴式惯性传感器(Inertial sensor unit, IMU) 的人体运动跟踪技术具有佩戴方便,
运动空间不受限和成本低等优点, 已广泛应用于医疗康复, 体育竞技, 人机交互和虚拟现实等领域 …

Adaptive control involves modifying the control law used by the controller to cope with the
fact that the parameters of the system being controlled change drastically due to change in …

Although the number of terrestrial global navigation satellite system (GNSS) receivers
supported by the International GNSS Service (IGS) is rapidly growing, the worldwide rather …

Economic model predictive control is a popular method to maximize the efficiency of a
dynamic system. Often, however, uncertainties are present, which can lead to lower …

This study considers the optimal linear estimation problem for the discrete‐time stochastic
fractional‐order system in its more general formulation. The system is allowed to be in …