in this study, the authors reported a case of woman with severe compulsion who became pregnant during the repetitive transcranial magnetic stimulation. we carried out repetitive transcranial magnetic stimulation and behavior therapy simultaneously after repeated medications' refraction. the patient received 20 sessions 1 hz repetitive transcranial magnetic stimulation in right dorsolateral...

This paper is concerned with repetitive control of Hamiltonian systems, which is based on iterative learning control utilizing the variational symmetry of those systems. Variational symmetry allows us to obtain an algorithm to solve a certain class of optimal control problems in a repetitive control framework. Therefore, the proposed method can deal with not only trajectory tracking control pro...

This paper discusses linear iterative learning and repetitive control, presenting general purpose control laws with only a few parameters to tune. The method of tuning them is straightforward, making tuning easy for the practicing control engineer. The approach can then serve the same function for learning/repetitive control, as PID controllers do in classical control. Anytime one has a control...

In this paper a well-known adjoint SISO Repetitive Control algorithm is extended to the multivariable case and its convergence properties are analysed. The new adjoint algorithm is validated using a simulation of an experimental facility consisting of a passive Naval vibration isolation mount that is combined with six active control channels located in a Stewart platform style arrangement. The ...

This paper describes a recently developed averaging technique to robustify iterative learning and repetitive controllers. The robustified controllers are found by minimizing cost functions that are averaged over either multiple analytical time-domain models or experimental frequency-domain data. The technique is simple and general, and it can be applied to any iterative learning control (ILC) o...