Type-1 and Type-2 fuzzy Sets to Control a Nonlinear Dynamic System
| dc.contributor.author | Kheir, Saadaoui | |
| dc.date.accessioned | 2020-09-27T08:46:36Z | |
| dc.date.available | 2020-09-27T08:46:36Z | |
| dc.date.issued | 2019-02 | |
| dc.description.abstract | This paper is related to the simulation, in Matlab environment, of a robot manipulator controlled by both type-1 and interval type-2 fuzzy controllers, in which a modification in Karnik-Mendel algorithm has been proposed. To calculate the output of interval type-2 fuzzy system there is a main step called type-reduced; this operation is based on Karnik-Mendel algorithm, which uses arithmetic mean to calculate the control output. In this work, we propose to change the arithmetic mean by harmonic one. The performances of modified interval type- 2 controller and type-1 fuzzy controller with and without noises are compared in terms of integral of squared error. The proposed modification in type reduction of Karnik-Mendel algorithm for interval type-2 fuzzy set shows best performance. Indeed, the amount of error in case of modified interval type-2 fuzzy controller is less two times than type-1 fuzzy controller. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/19611 | |
| dc.publisher | Université de M'sila | en_US |
| dc.subject | type-1 fuzzy sets, interval type-2 fuzzy sets, nonlinear dynamic system, PUMA560 robot | en_US |
| dc.title | Type-1 and Type-2 fuzzy Sets to Control a Nonlinear Dynamic System | en_US |
| dc.type | Article | en_US |