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Firstly, we have developed the polynomial description of the nonlinear uncertain and interconnected system using odd Kronecker power of state vectors, which is an easy-manipulation model for such complex systems. Then we applied Lyapunov\u2019s direct method of stability analysis, associated with a quadratic function, in order to determine a sufficient condition for global asymptotic stability by applying a nonlinear, decentralized and optimal polynomial control. Finally, we carried out a simulation study on a nonlinear uncertain power system with three interconnected machines. We considered different cases of perturbations on its state variables as well as different cases of fault locations. We prove via advanced simulations, the effectiveness of the proposed control technique which is able to mitigate the successive amplitudes of the oscillations, to limit the control actions and to enhance the power system transient stability.<\/jats:p>","DOI":"10.1177\/0142331218796150","type":"journal-article","created":{"date-parts":[[2018,9,20]],"date-time":"2018-09-20T11:32:49Z","timestamp":1537443169000},"page":"2236-2249","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Development of a decentralized nonlinear controller for a class of uncertain polynomial interconnected systems: Application for a large scale power system"],"prefix":"10.1177","volume":"41","author":[{"given":"Hosni","family":"Rtibi","sequence":"first","affiliation":[{"name":"Advanced System Laboratory, Polytechnic School of Tunisia, Carthage University, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salwa","family":"Elloumi","sequence":"additional","affiliation":[{"name":"Advanced System Laboratory, Polytechnic School of Tunisia, Carthage University, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naceur","family":"Benhadj Braiek","sequence":"additional","affiliation":[{"name":"Advanced System Laboratory, Polytechnic School of Tunisia, Carthage University, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2018,9,20]]},"reference":[{"issue":"3","key":"bibr1-0142331218796150","first-page":"211","volume":"17","author":"Benhadj Braiek N","year":"1995","journal-title":"Systems Analysis Modelling Simulation"},{"key":"bibr2-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2010.04.010"},{"key":"bibr3-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1016\/j.matcom.2007.04.001"},{"key":"bibr4-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1109\/TCS.1978.1084534"},{"key":"bibr5-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2002.1175634"},{"issue":"2","key":"bibr6-0142331218796150","first-page":"159","volume":"12","author":"Elloumi S","year":"2012","journal-title":"Nonlinear Dynamics and Systems Theory"},{"key":"bibr7-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1016\/S1665-6423(14)71630-X"},{"key":"bibr8-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2013.06.005"},{"key":"bibr9-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2014.951715"},{"key":"bibr10-0142331218796150","volume-title":"Kronecker Products and Matrix Calculus with Applications","author":"Graham A","year":"1981"},{"key":"bibr11-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-1098(00)00038-8"},{"key":"bibr12-0142331218796150","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2009.06.016"},{"key":"bibr13-0142331218796150","volume-title":"Vector Lyapunov functions and stability analysis of nonlinear systems","volume":"63","author":"Lakshmikantham V","year":"2013"},{"key":"bibr14-0142331218796150","doi-asserted-by":"crossref","unstructured":"Loussifi H, Nouri K, Braiek N (2016) A new efficient hybrid intelligent method for nonlinear dynamical systems identification: The Wavelet Kernel Fuzzy Neural Network. 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