Abstract
This undertaking delves into the designing of a based nonlinear discrete-time control scheme. The control input exploits the feedback linearization technique, the gain scheduling control approach, and genetic algorithms to develop an optimization method, for achieving trajectory tracking objectives. In order to demonstrate the effectiveness of the proposed scheme, the results from this investigation was compared with those attained using the fuzzy control method. The simulation results from the application of the designed approach to a continuous stirred tank reactor (CSTR) temperature control problem, revealed the efficiency of this scheme, and its satisfactory overall performance.