Name
Abstract | ||
|---|---|---|
In this work, we address the problem of identification and control of dynamical systems where a generalized orthonormal basis functions (GOBF) model with ladder-structure is used to represent the system. In the identification process, we took a genetic algorithm to optimize the number of functions and the model poles. The identified model is then used as the basis for the implementation of a predictive controller, which incorporates the advantages of this type of modeling in the lack of output feedback. A magnetic levitation system was identified and a model predictive controller was used to stabilize the system. Results show the feasibility of this technique in the control of a real system. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ccece.2018.8447881 | 2018 IEEE CANADIAN CONFERENCE ON ELECTRICAL & COMPUTER ENGINEERING (CCECE) |
Field | DocType | ISSN |
Data modeling,Control theory,Computer science,Model predictive control,Control engineering,Magnetic levitation,Dynamical systems theory,Control system,Genetic algorithm,Orthonormal basis functions | Conference | 0840-7789 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeremias Barbosa Machado | 1 | 0 | 0.34 |
| Sidney Nascimento Givigi | 2 | 64 | 12.40 |