AUV play an important role in the exploration and utilization of the ocean. Underactuated
autonomous underwater vehicles (AUVs) are widely used in these missions due to the …

The unique performance advantages of hypersonic vehicles represent a critical challenge
for existing defense systems. To facilitate defensive operations against hypersonic vehicles …

Controlling complex nonlinear dynamical systems using traditional methods has always
been a difficult task because the majority of systems seen in nature have intricate nonlinear …

In Human–Machine interaction, the possibility of increasing the intelligence and adaptability
of the controlled plant by imitating human control behavior has been an objective of many …

To enable a carrier-based unmanned aerial vehicle (UAV) to track the desired glide
trajectory and safely land on the deck with the presence of system faults, this paper …

This paper presents a new Takagi-Sugeno-Kang fuzzy Echo State Neural Network
(TSKFESN) structure to design a direct adaptive control for uncertain SISO nonlinear …

This paper investigates the finite-time (FT) adaptive output feedback control for a class of
nonlinear systems with asymmetric state-function constraints and unknown external …

In this letter a novel deep neural network based integral sliding mode (DNN-ISM) control is
proposed for controlling perturbed systems with fully unknown dynamics. In particular, two …

This letter deals with the design of a novel neural network based integral sliding mode (NN-
ISM) control for nonlinear systems with uncertain drift term and control effectiveness matrix …

The difficulty of obtaining accurate dynamical models of hypersonic flight has been generally
recognized, and modeling inaccuracy can severely deteriorate the performance of the flight …