A new perturbation estimator, using radial basis function (RBF) neural networks (RBFNN) to modify the sliding observer (SPO), is proposed with fast fractional-order terminal mode control (FFOTSMC). It aims a seven-degree-of-freedom (7-DOF) robot manipulator. The estimator applies data-driven method RBFNN compensate for estimation error in conventional SPO first time. modified estimates perturba...

This paper addresses control design in networked control system by considering stochastic packet dropouts in the forward path of the control loop. The packet dropouts are modelled by mutually independent stochastic variables satisfying Bernoulli binary distribution. A sliding mode controller is utilized to overcome the adverse influences of stochastic packet dropouts in networked control system...

Unmanned Aerial Manipulation (UAM) is a novel type of Vehicle (UAV) equipped with manipulators instead manual operation in hazardous and unreachable environments. The combination UAV manipulator unavoidably causes significant predicament due to the increase nonlinearity coupling UAM system. Consequently, system’s robustness becomes more vulnerable presence system uncertainty external disturbanc...

Abstract I The purpose of this paper is to propose a fast adaptive terminal sliding mode control method for quadrotor unmanned aerial vehicles (UAVs) under dynamic uncertainties and external interference. Firstly, complete mathematical dynamics model UAV presented. Secondly, robust dual-loop nonlinear law the velocity attitude tracking designed. Through introduction equivalent inputs, channels ...