In order to improve handling stability performance and active safety of a ground vehicle, a
large number of advanced vehicle dynamics control systems—such as the direct yaw control …

Abstract Purpose of Review The goal of this paper is to review current developments in the
area of underwater robotics regarding the use of AI, especially in model learning, robot …

In this paper, an adaptive neural network (NN) control problem is investigated for discrete-
time nonlinear systems with input saturation. Radial-basis-function (RBF) NNs, including …

This paper explores a novel nonparametric identification modeling technique for ship
maneuvering system. In order to solve the over-learning or under-learning problem which …

This research proposes a new dynamic model for underwater vehicles with variable mass
and center of gravity. The variation of center of gravity and moment inertia of the vehicle is …

This study proposes a method for identification of the nonlinear dynamic model of an AUV
while some states are unmeasured; hence, it concentrates on a nonlinear “state and …

This research proposes a Bayesian Network-based methodology to extract moving vessels
from a plethora of blips captured in frame-by-frame radar images. First of all, the inter-frame …

In the paper, a new evolutionary technique called Linear Matrix Genetic Programming
(LMGP) is proposed. It is a matrix extension of Linear Genetic Programming and its …

An accurate model is important for the engineer to design a robust controller for the
autonomous underwater vehicle. There are two factors that make the identification difficult to …

A great number of pipelines in China are in unsatisfactory condition and faced with problems
of corrosion and cracking, but there are very few approaches for underwater pipeline …