Stabilizing the Unmanned Aircraft Systems (UAS) under complex environment including
system uncertainties, unknown noise and/or disturbance is so challenging. Therefore, this …

In this study Neural Adaptive based on backstepping and feedback linearization is used for
velocity control and recognition of an electro hydraulic servo system (EHSS) in the presence …

In this paper, a biologically-inspired distributed intelligent control methodology is proposed
to overcome the challenges, ie, networked imperfections and uncertainty from the …

This paper deals with nonlinear active noise control using adaptive wavelet filters. The
ability of wavelets in signal reconstruction and function approximation make them appealing …

This study applies technique parallel distributed compensation (PDC) for position control of
a Magnetic levitation system. PDC method is based on nonlinear Takagi-Sugeno (TS) fuzzy …

In this dissertation, we investigate the real-time flocking control of Multi-Agent Systems
(MAS) in presence of system uncertainties and dynamic environment. To handle the impacts …