Realization of robot motion based on a learning method
IEEE Transactions on Systems, Man and Cybernetics
An iterative learning control law for dynamical systems
Automatica (Journal of IFAC)
An iterative learning control theory for a class of nonlinear dynamic systems
Automatica (Journal of IFAC)
Iterative learning control for a class of nonlinear systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief paper: Suppressing intersample behavior in iterative learning control
Automatica (Journal of IFAC)
Effects of network communications on a class of learning controlled non-linear systems
International Journal of Systems Science
Automatica (Journal of IFAC)
Hi-index | 22.15 |
In this paper, a sampled-daata iterative learning control method is proposed for nonlinear systems without restriction on system relative degree. The learning algorithm does not require numerical differentiations of any order from the tracking error. A sufficient condition is derived to guarantee the convergence of the system output at each sampling instant to the desired trajectory. Numerical simulation is conducted to demonstrate the theoretical result.