System identification techniques were applied to obtain mathematical expressions relating column flotation operating parameters. The empirical data were derived by making individual step changes in tailings rate, wash water rate, feed rate, frother addition and air rates, while measuring the pulp level and air holdup responses. The dynamic behavior of the flotation column is also analyzed for the conditions at which the tests were performed. After converting these mathematical equations into continuous and discrete transfer function matrices, several control algorithms were simulated on this column flotation empirical representation. Suggestions are provided to deal with the complexities of the process when designing a control scheme. / Master of Science