This course covers a mathematical modelling of the dynamic system and identification schemes for the parameters of the model. The main contents include system and model, parameter estimation algorithms, nonlinear modelling, convergence and consistency, recursive identification algorithm, experiment design, choice of identification criterion, model validation, etc. On completion of this course, students will have gained skills and confidence in identifying unknown systems. The identification will be used for adaptive control. (Prerequisite: MA250)