A comprehensive survey on recent developments in iterative learning control algorithms and applications

Iterative learning control (ILC) has evolved with the time after Arimoto's first paper, ILC was designed to cope the problems associated with the processes which involve repetitions. ILC involves dynamics along two dimensions i.e., iteration domain and time domain, which makes it different from other control techniques. In this paper, a comprehensive insight is given for the evolution of different areas for ILC, i.e., other control design techniques which when combined with ILC, provide improvement in robustness, performance, convergence of ILC. Moreover, by these combinations, ILC can address more broad applications and system dynamics.