000131073 001__ 131073
000131073 005__ 20190316234449.0
000131073 037__ $$aARTICLE
000131073 245__ $$aNonlinear system control using the MSEV approach
000131073 269__ $$a2000
000131073 260__ $$c2000
000131073 336__ $$aJournal Articles
000131073 520__ $$aA class of modified state-space self-tuning controllers of the MSEV (minimum state error variance) type is considered in this article. A suitable chosen structure for the proposed controller provides for tracking the time-varying reference input, and makes it possible to apply this solution to nonlinear and nonstationary plants. Starting from the changes of innovations sequence statistics, an efficient load disturbance detector is also constructed, and the estimated disturbance amplitude is used to correct the control signal, in order to eliminate the influence of disturbances. The advantage in using the proposed algorithm for nonlinear systems control, in the presence of load disturbances and stochastic disturbances of unknown statistics, is demonstrated through simulation results.
000131073 6531_ $$anonlinear control
000131073 6531_ $$aself-tuning systems
000131073 6531_ $$atime-varying systems
000131073 6531_ $$arandom processes
000131073 700__ $$0240448$$g133818$$aMiskovic, Ljubisa
000131073 700__ $$aDjurovic, Zeljko
000131073 700__ $$aKovacevic, Branko
000131073 773__ $$j28$$tControl and Intelligent Systems$$k3$$q110-117
000131073 8564_ $$uhttp://www.actapress.com/Content_of_Journal.aspx?JournalID=98$$zURL
000131073 8564_ $$uhttps://infoscience.epfl.ch/record/131073/files/201-1138.pdf$$zn/a$$s230100
000131073 909C0 $$xU11422$$0252131$$pLCSB
000131073 909CO $$ooai:infoscience.tind.io:131073$$qGLOBAL_SET$$pSB$$particle
000131073 937__ $$aLCSB-ARTICLE-2009-002
000131073 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000131073 980__ $$aARTICLE