Continuous-time model reference adaptive control for an unknown nonlinear system

Abstract A model reference adaptive control is presented for an unknown continuous-time non-linear plant. The controller consists of an estimator, a generator, and a table. The estimator puts the plant non-linear characteristics into the table, from which the generator synthesizes the control input to realize the model reference. An error convergence proof under a boundedness assumption and a simple numerical simulation are presented for verification of the viability of the proposed control system.