Identification of neutralization process using multi-level pseudo-random signals

A design methodology for input signals in identification of a nonlinear system is presented, using multi-level maximum-length pseudo-random sequences and a priori knowledge of the physical system. The design criteria used here are the process bandwidth relevant for control, persistence of excitation and the minimum signal length. A numerical example illustrates the application of the methodology in the identification of a pH neutralization process dynamics. The performance is compared with pseudo-random binary and random input signals, showing that the methodology is effective for excitation signal synthesis, being advantageous for design of nonlinear identification experiments.