IIR System Identification Using Improved Harmony Search Algorithm with Chaos | ||
| AUT Journal of Electrical Engineering | ||
| مقاله 5، دوره 46، شماره 1، 2014، صفحه 37-47 اصل مقاله (983.57 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/eej.2014.439 | ||
| نویسندگان | ||
| M. Shafaati1؛ H. Mojallali* 2 | ||
| 1MSc. Student, Electrical Engineering Department, Faculty of Engineering, University of Guilan, Rasht, Iran | ||
| 2Assistant Professor, Electrical Engineering Department, Faculty of Engineering, University of Guilan, Rasht, Iran | ||
| چکیده | ||
| Due to the fact that the error surface of adaptive infinite impulse response (IIR) systems is generally nonlinear and multimodal, the conventional derivative based techniques fail when used in adaptive identification of such systems. In this case, global optimization techniques are required in order to avoid the local minima. Harmony search (HS), a musical inspired metaheuristic, is a recently introduced population based algorithm that has been successfully applied to global optimization problems. In the present paper, the system identification problem of IIR models is formulated as a nonlinear optimization problem and then an improved version of harmony search incorporating chaotic search (CIHS), is introduced to solve the identification problem of four benchmark IIR systems. Furthermore, the performance of the proposed methodology is compared with HS and two well-known meta-heuristic algorithms, genetic algorithm (GA) and particle swarm optimization (PSO) and a modified version of PSO called PSOW. The results demonstrate that the proposed method has the superior performance over the other above mentioned algorithms in terms of convergence speed and accuracy. | ||
| کلیدواژهها | ||
| System identification؛ IIR structure؛ Adaptive Filtering؛ chaos؛ Harmony search. | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 1,595 تعداد دریافت فایل اصل مقاله: 1,448 |
||
| تعداد نشریات | 9 |
| تعداد شمارهها | 455 |
| تعداد مقالات | 5,771 |
| تعداد مشاهده مقاله | 8,376,931 |
| تعداد دریافت فایل اصل مقاله | 6,936,529 |