Javad Askari

TL;DR: In this article, a sliding-mode feedback linearisation control system is designed for a multi-motor web-winding system, which consists of an SM velocity controller and two SM tension controllers; a decentralised version of the proposed controller is developed.

TL;DR: A novel fully distributed controller is developed based on backstepping technique and neuro-adaptive update mechanism to ensure bipartite consensus of multiple fractional-order nonlinear systems with output constraints and it is shown that all the closed-loop error signals are uniformly ultimately bounded.

TL;DR: Finite-time bipartite synchronization of multi-agent systems is assessed here and a virtual affine variable is introduced, and neural network along with minimal learning parameter principle are employed to approximate composite uncertainties including unknown functions in the system dynamics, unknown control coefficients and control inputs.

TL;DR: In this article, a distributed containment output-feedback control approach for a general class of stochastic uncertain nonlinear multi-agent systems is considered, where local linear state observers are designed to deal with the unmeasured states.

TL;DR: In this article, a fault detection and estimation (FDE) scheme for a class of Lipschitz nonlinear systems subjected to modeling and measurement uncertainties is presented, which is based on an adaptive diagnostic observer that not only estimates the states of the system and generates the residual signal simultaneously, but also is able to estimate the characteristic and magnitude of an unknown fault.