ILC for a Kind of Linear Switched Systems Specified by Random Time-Iteration Driven Switching Signals

The note considers an iterative learning control scheme for a kind of switched repetitive systems. The manipulated systems are specified by arbitrary switching signals with respective to both time variable and iteration index. By employing Lebesgue-p norm, the learning performance is analyzed and a sufficient condition of convergence is derived. Results show that the concerned control law works well for tracking problem of the switched systems when the switching rules are expanded to time-iteration domain. Simulation is included to verify the validity of the approach.