An adaptive backstepping terminal sliding mode control (ABTSMC) method based on a multiple−layer fuzzy neural network is proposed for class of nonlinear systems with parameter variations and external disturbances in this study. The utilized to estimate the function handle unknown uncertainties system reduce switching term gain. It has strong learning ability high approximation accuracy due comb...

The formation control of unmanned surface vehicles (USVs) while considering communication topology, dynamic model uncertainties, environmental disturbances, and a fast convergence rate is addressed in this paper. First, graph theory introduced to describe the connective relationships establish generalized errors among USVs. Then, second-order nonsingular terminal sliding-mode (SOFNTSMC) designe...

This paper schemes a new nonlinear method for controlling and suppressing of chaos instability in the PMSM. First, model PMSM is considered that able to describe dynamic behaviour different functional conditions, including occurrence chaos. As an integral part most physical systems, disturbance with unknown upper limit design control scheme. Parametric uncertainty also included system technique...