  Iterative linear quadradic regulator(iLQR) has become a benchmark method to
deal with nonlinear stochastic optimal control problem. However, it does not
apply to delay system. In this paper, we extend the iLQR theory and prove new
theorem in case of input signal with fixed delay. Which could be beneficial for
machine learning or optimal control application to real time robot or human
assistive device.
