A track-to-track fusion method to combine local estimates modeled with Gaussian mixture
model is proposed for tracking a re-entry ballistic vehicle. An arbitrary power of a Gaussian …

Track-to-track fusion is an important topic for distributed tracking. Compared with the centralized
measurement fusion, the track-to-track fusion requires less communication resources …

Morphing aircraft are capable of modifying their geometry configurations according to different
flight conditions to improve their performance, such as by increasing the lift-to-drag ratio or …

This article investigates the problem of state estimation for guarded semi-Markov switching
systems with soft constraints. We first construct the switching system in a multiple model …

This paper studies the response of saving decisions to two alternative types of capital taxation:
the wealth tax and the capital income tax. First, we conducted a lifecycle experiment using …

Since the issues of low communication bandwidth supply and limited battery capacity are
very crucial for wireless sensor networks, this paper focuses on the problem of event-triggered …

In standard asset pricing theory, rational investors are primarily concerned with maximizing
their expected utility, taking into consideration the trade-off between risk and return. …

This paper discusses a learning algorithm for nonlinear aircraft systems, which targets the
weaknesses of datadriven algorithms, mainly poor generalization ability and limited …

This study deals with the problem of online target tracking based on Gaussian process
regression and deterministic sampling. A general mathematical formulation of the non‐linear …

We disentangle the channels through which inflation expectations affect household spending.
We conduct a survey featuring hypothetical scenarios that generate a controlled increase …