| contributor author | Rhouma, Aymen | |
| contributor author | Bouani, Faouzi | |
| contributor author | Bouzouita, Badreddine | |
| contributor author | Ksouri, Mekki | |
| date accessioned | 2017-05-09T01:05:57Z | |
| date available | 2017-05-09T01:05:57Z | |
| date issued | 2014 | |
| identifier issn | 1555-1415 | |
| identifier other | cnd_009_03_031011.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/154178 | |
| description abstract | This paper provides the model predictive control (MPC) of fractional order systems. The direct method will be used as internal model to predict the future dynamic behavior of the process, which is used to achieve the control law. This method is based on the Grأ¼nwald–Letnikov's definition that consists of replacing the noninteger derivation operator of the adopted system representation by a discrete approximation. The performances and the efficiency of this approach are illustrated with practical results on a thermal system and compared to the MPC based on the integer ARX model. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Model Predictive Control of Fractional Order Systems | |
| type | Journal Paper | |
| journal volume | 9 | |
| journal issue | 3 | |
| journal title | Journal of Computational and Nonlinear Dynamics | |
| identifier doi | 10.1115/1.4026493 | |
| journal fristpage | 31011 | |
| journal lastpage | 31011 | |
| identifier eissn | 1555-1423 | |
| tree | Journal of Computational and Nonlinear Dynamics:;2014:;volume( 009 ):;issue: 003 | |
| contenttype | Fulltext | |
