System identification, simulation, and control using classical and intelligent techniques

The primary focus of this thesis is broken down into three stages. First to identify the overall transfer function of a "real life" system using system identification techniques. Second, to model the identified system using the Control System Simulation Station which was designed and built. And lastly, to model the identified system using a neural network. The identification process involves the collection of input/output data taken form a "real life" system This input/output data is then used with identification techniques available in the commercially available software package MATLAB...