Two-Side Data Dropout for Nonlinear Systems
This chapter discusses the ILC problem for nonlinear system under general networked control structure, in which random data dropouts occur independently at both measurement and actuator sides. Both updating algorithms are proposed for the computed input signal generated by the learning controller and the real input signal fed to the plant. The system output is strictly proved to converge to the desired reference in almost sure sense as the iteration number goes to infinity.
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- 4.Liu, J., Ruan, X.: Synchronous-substitution-type iterative learning control for discrete-time networked control systems with Bernoulli-type stochastic packet dropouts. IMA J. Math. Control Inf. (2017). https://doi.org/10.1093/imamci/dnx008
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