The paper discusses a generalized design of employing a Back-Propagation (BP) neural network (NN) as an intelligent controller that requires no identifier  to control time-varying and nonlinear (NL) possibly unstable systems of unknown parameters  stable or unstable  for achieving self-adaptive model reference control (MRC) or target-tracking control (TTC)