This work investigates the fault-tolerant attitude tracking control problem for the tailless flying
wing aircraft in the presence of an external disturbance, uncertain parameters, and time …

This paper revisits the problem of locating a signal-emitting source from time-difference-of-
arrival (TDOA) measurements under non-line-of-sight (NLOS) propagation. Many currently …

In this paper, a fault-tolerant control scheme is proposed for attitude tracking problem of
hypersonic reentry vehicle subjected to multiple disturbances and time-varying actuator …

In this paper, a constrained control allocation scheme is designed based on the
neurodynamic model for an overactuated aircraft with system uncertainties and unknown …

Elliptic positioning (EP) has been receiving increasing attention in recent years with the
development of multistatic systems. This article considers mitigating the negative effects of …

In this paper, we develop a numerical method for solving the delay optimal control problems
of fractional-order. The fractional derivatives are considered in the Caputo sense. The …

The last four decades have witnessed the birth and growth of neurodynamic optimization
with numerous recurrent neural networks developed for solving various constrained …

This paper offers a recurrent neural network to support vector machine (SVM) learning in
stochastic support vector regression with probabilistic constraints. The SVM is first converted …

In the present study, nature-inspired computing technique has been designed for the
solution of nonlinear systems by exploiting the strength of particle swarm optimization (PSO) …

In this paper, we apply a gradient neural network model to efficiently solve the convex
second-order cone constrained variational inequality problem. According to a smoothing …