Data loss for PLC of nonlinear systems Iterative Learning Control Algorithm
1 Aeronautics and Astronautics Engineering Institute, Air Force Engineering University, Xi’an 710038, Shanxi Province
2 School of physics and electrical engineering Hechi university Yizhou GuangXi China
When we use power line as data carrier, due to the complexity of the PLC network environment, data packet loss frequently, so the paper deal with the iterative learning control for a class of nonlinear systems with measurement dropouts in the PLC, and studies the P-type iterative learning control algorithm convergence issues, the data packet loss is described as a stochastic Bernoulli process, on this basis we given convergence conditions for the P-type iterative learning control algorithm. The theoretically analysis is supported by the simulation of a numerical example; the convergence of ILC can be guaranteed when some output measurements are missing.
© Owned by the authors, published by EDP Sciences, 2016
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