Iterative Learning Control for Networked Nonlinear Processes with Random Communication Delays on both Input and Output Terminals

Abstract:This paper proposes a networked iterative learning control scheme for a class of nonlinear non-affine discretetime systems with random communication delays on both input and output terminals. First, the communicaton delayed data obeys Bernoulli-type distribution and was replaced by the data successfully captured at the concurrent sampling moment in the latest iteration. Then, based on the concepts of mathematical expectation and norm equivalence principle, the analysis demonstrates that under certain conditions the output tracking error tends to zero with the iteration increases. Finally, simulation results are given to verify the correctness of the theoretical analysis.

Translation or Not:no