Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ACC.2003.1240431 | American Control Conference, 2003. Proceedings of the 2003 |
Keywords | DocType | Volume |
identification,nonlinear systems,ph control,process control,random sequences,signal synthesis,mlprs,binary input signal,excitation signal synthesis,multilevel pseudo-random signal,neutralization process,nonlinear system identification,ph identification,process bandwidth,random input signal,design methodology,nonlinear system,bandwidth,autocorrelation,power generation,white noise,signal processing,open loop systems,a priori knowledge,galois fields,random sequence | Conference | 5 |
ISSN | ISBN | Citations |
0743-1619 | 0-7803-7896-2 | 1 |
PageRank | References | Authors |
0.38 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lara, J.M.V. | 1 | 1 | 0.38 |
| Basílio E. A. Milani | 2 | 47 | 12.78 |