@article{MAKHILLIJSC20083120895,
    title = {The Robustness of the RST Controller Obtained VIA the Law of Generalized Predictive Control},
    journal = {International Journal of Soft Computing},
    volume = {3},
    number = {1},
    pages = {78-83},
    year = {2008},
    issn = {1816-9503},
    doi = {ijscomp.2008.78.83},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2008.78.83},
    author = {M. Sedraoui and},
    keywords = {Generalized predictive control,robust control,RST-GPC controller,H control},
    abstract = {This study  presents  a  contribution to the study of the robustness of RST controller obtained via the law  of  standard  GPC (Generalized-Predictive-Control).  The  GPC  is  a  very  recent  technique of control  system,  it   is  the subject of many research during these last years and allready applied successfully in industry.  It  is  based on a predictive model CARIMA (Controlled Auto Regressive Integrated Moving Average),  his  role  is  to  predict  the  future  behavior  of  the  system in an extended time horizon, thus it is based on a minimization of a quadratic criterion (performance criterion) to obtain a control law minimizing the error between the output of the system and the reference input. A considerable advantage of the law of GPC is that we can transform it in a RST polynomial form, which allow us to have the possibility of checking the robustness of the controller obtained via this law on the frequential domain. There are several methods of robust   control   which   guarantee   the   robustness   of   stability  and performances, among which: LQG: Linear-quadratic-Gaussian, the H<SUB>2</SUB> method, the H<SUB> </SUB> method, these methods give very effective results but in a limited frequential domain. In the following, we will stain to show that method  RST-GPC can be as robust and powerful  as  that  introduced by the robust control  methods (in particular the method H<SUB> </SUB> in the example which will follow).}
    }