Abstract:

In order to analyze the convergence of iterative learning control system over wireless networks in the presence of data dropouts, the system transition matrix including the impact factors of random data dropouts is derived firstly. After that, the variation of eigenvalues and other elements in the lower triangular of the transition matrix is analyzed, which affects the convergence speed and robust convergence of the system, respectively. The analysis results show that the convergence speed is reduced by random data dropouts of measurement signals, and the robust convergence is affected greatly by random data dropouts of control signals. Finally, numerical experiments are given to illustrate the correctness of the analysis.