In this article, for a class of stochastic pure-feedback nonlinear systems with simultaneous
actuator and sensor faults, the problem of adaptive fault-tolerant control is examined. The …

Kee** into view the human-brain-like capabilities, a novel adaptive control scheme
utilizing a defuzzification module has been designed in an effort to endow the control …

A cyber–physical system (CPS) is often vulnerable to cyber-attacks that can cause immense
damage in real-time to the data and operation of the physical system. To prevent CPS from …

In this work, an adaptive finite-time fault-tolerant control (FTC) technique for a class of
switched nonlinear systems in strict-feedback form is presented. The switched nonlinear …

In this work, we focus on the design of a hybrid neural tracking controller for a class of
uncertain switched nonlinear systems with bounded disturbance. A new tracking control …

In this work, the problem of adaptive neural control for nonlinear systems with input
nonlinearities and sensor fault in non-strict feedback form is addressed. Input saturation and …

This paper investigates the tracking control problem for fractional-order (FO) nonlinear
systems with model uncertainties and external disturbances under full-state constraints. An …

This paper proposes a method to compute the solutions of linear optimal control expressed
in terms of the radial basis function neural networks with Gaussian activation functions for …

This work focuses on the issue of neural networks-based adaptive output-feedback control
for nonlinear systems with dead zone output and immeasurable states. Radial basis function …

Taking into account the various challenges due to uncertainties and disturbances while
operating with aerial robotic vehicles (ARVs) in a harsh and extreme environment, a novel …