Neural adaptive regulation of unknown nonlinear dynamical systems

With this paper we extend our previous work on the subject, by including the case where the number of control inputs is different from the number of states which is frequently faced in control engineering problems. Uniform ultimate boundedness of the slate and uniform boundedness of all other signals in the dosed loop is guaranteed, Robustness of our algorithm due to the presence of a modeling error term which has linear growth with unknown growth coefficient is also established, Finally, the applicability of our control scheme is highlighted via simulation results.