This study is about the identification problem of continuous-time switched linear systems from low-rate sampled data. The main problem in the identification of such systems, when the sampling rate is low, is that the ...

This paper develops an online learning algorithm to find optimal control solutions for

partially-unknown continuous-time systems subject to input constraints. The input

constraints are encoded into the optimal control problem through a...