Details Details PDF BIBTEX RIS Title An interval observer design for uncertain nonlinear systems based on the T-S fuzzy model Journal title Archives of Control Sciences Yearbook 2017 Issue No 3 Authors Menasria, Yamina ; Hichem Bouras ; Nasreddine Debbache Divisions of PAS Nauki Techniczne Publisher Committee of Automatic Control and Robotics PAS Date 2017 Identifier DOI: 10.1515/acsc-2017-0025 ; ISSN 1230-2384 Source Archives of Control Sciences; 2017; No 3 References GOUZE (2000), Interval observers for uncertain biological systems Modelling, Ecological, 133. ; MA (1998), design of fuzzy controller and fuzzy observer on Fuzzy Systems, Analysis IEEE Trans, 11, 41. ; AKHENAK (2004), Design of robust fuzzy observer for uncertain Takagi models on Fuzzy Systems Budapest, IEEE Int, 1. ; EFIMOV (2012), Interval estimation for LPV systems applying high order sliding mode techniques, Automatica, 2365. ; MAZENC (2011), Interval observers for linear time - invarariant systems with disturbances, Automatica, 12, 47. ; MOISAN (2009), Near optimal interval observers bundle for uncertain bioreactors, Automatica, 15, 291. ; RAISSI (2012), Interval state estimation for a class of nonlinear systems on Automatic Control, IEEE Trans, 18, 260. ; WANG (2001), Fuzzy control systems design and analysis, null, 23. ; AKHENAK (2003), State estimation via multiple observer with unknown input : Application to the three tank system th on Fault Detection Supervision and Safety for Technical Processes, USA. ; MOISAN (2006), Robust interval observers for uncertain chaotic systems th on Decision and Control San, IEEE USA, 14. ; RAPAPORT (2005), Interval observers for biochemical processes with uncertain kinetics and inputs, Mathematical Biosciences, 21, 193. ; CHEBOTAREV (2013), On interval observer design for a class of continuous - time LPV systems Toulouse, null. ; PERKO (2000), rd, Differential Equations Dynamical Systems Edition, 17. ; RAMI (2010), Interval observers for linear systems with time - varying delays on Mathematical Theory of Networks and Systems Budapest, Int, 20. ; MAZENC (2010), Asymptotically stable interval observers for planar systems with complex poles on Automatic Control, IEEE Trans, 13, 523. ; Moisan (2010), sc Robust interval observers for global Lipschitz uncertain chaotic systems and, Systems Control Letters, 16, 59. ; ZHENG (2016), Design of interval observer for a class of uncertain unobservable nonlinear systems, Automatica, 24, 167. ; BERNARD (2004), Closed loop observers bundle for uncertain biotechnological models of Process Control, null, 14, 765. ; TAKAGI (1985), Fuzzy identification of systems and its applications to modeling and control on Systems Man and Cybernetic, IEEE Trans, 22, 116. ; BOYD (1994), Linear in System and Control Theory Philadelphia, Matrix Inequalities SIAM. ; EFIMOV (2013), On interval observer design for time - invariant discrete - time systems European Control, null. ; RAISSI (2010), Interval observer design for consistency checks of nonlinear continuous - time systems, Automatica, 19, 518.