Integrated navigation is often used for navigation of unmanned surface vehicles (USVs). For
a class of cost-sensitive USVs, it is desirable to compose integrated navigation by low-cost …

The academic community has extensively studied fault management in dynamical and cyber-
physical systems, leading to the development of various model-based and data …

This paper presents an adaptive neural network fault-tolerant controller approach for the
parameters of morphing aircraft that change violently during changing sweep angle …

Learning-based image dehazing methods are essential to assist autonomous systems in
enhancing reliability. Due to the domain gap between synthetic and real domains, the …

In this paper, a solution is presented to address the sensor fault detection and isolation (FDI)
problem in state estimation for autonomous vehicles (AVs). The primary impetus for …

In recent years, multisensor fusion for state estimation has gained considerable attention.
The effectiveness of the optimal fusion estimation method heavily relies on the correlation …

With the rapid development of educational information technology,“online and offline” hybrid
teaching has become the main trend of foreign language teaching reform in colleges and …

With the help of Information Theory Learning (ITL) theory, a kind of increasingly popular non-
Gaussian filtering method has been designed in the sense of the maximum correntropy (MC) …

In this paper, a pipeline leakage detection algorithm based on information fusion of pressure
and flow is proposed, and its core work is the construction of BPA based on discount factors …

Multisensor information fusion technology is an advanced processing method that is
different from classical data processing technology. Capability and operational accuracy, in …