partially supported by the National Natural Science Foundation of China(61703402,61374048)
This paper focuses on designing an adaptive radial basis function neural network(RBFNN) control method for a class of nonlinear systems with unknown parameters and bounded disturbances. The problems raised by the unkn...
supported by the National Natural Science Foundation of China(No.61374048)
In this paper,the flight formation control problem of a group of quadrotor unmanned aerial vehicles(UAVs) with parametric uncertainties and external disturbances is studied.Unitquaternions are used to represent the ...