Abdesselem Boulkroune, Mohamed Tadjine, Mohammed M’saad, and Mondher Farza
[1] P.A. Ioannou & J. Sun, Robust Adaptive Control (EnglewoodCliffs, NJ: Prentice-Hall, 1996). [2] G. Bastin & M.R. Gevers, Stable adaptive observers for non-linear time-varying systems, IEEE Transactions on AutomaticControl, 33, 1988, 650–658. [3] R. Morino, Observers for single output nonlinear systems, IEEETransactions on Automatic Control, 35, 1990, 1054–1058. [4] R. Morino & P. Tomie, Global adaptive observers for nonlinearsystems via filtered transformations, IEEE Transactions onAutomatic Control, 37, 1992, 1239–1245. [5] R. Morino & P. Tomie, Adaptive observers with arbitraryexponential rate of convergence for nonlinear systems viafiltered transformations, IEEE Transactions on AutomaticControl, 40, 1995, 1300–1304. [6] R. Rajamani & K. Hedrick, Adaptive observer for active au-tomotive suspensions: Theory and experiment, IEEE Trans-actions Control System Technology, 3, 1995, 86–93. [7] Y. Man Cho & R. Rajamani, A systematic approach to adaptiveobserver synthesis for nonlinear systems, IEEE Transactionson Automatic Control, 42, 1997, 534–537. [8] Y.G. Leu, T.T. Lee, & W.Y. Wang, Observer-based adaptivefuzzy-neural control for unknown nonlinear dynamical systems,IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, 29, 1999, 583–591. [9] Y.H. Kim, F.L. Lewis, & C.T. Abdallah, A dynamic recurrentneural-network-based adaptive observer for a class of nonlinearsystems, Automatica, 33(8), 1997, 1539–1543. [10] J.H. Park, G.T. Park, S.H. Kim, & C.J. Moon, Output feedbackcontrol of uncertain nonlinear systems using a self-structuringadaptive fuzzy observer, Fuzzy Sets and System, 151, 2005,21–42. [11] J.H. Park & G.-T. Park, Adaptive fuzzy observer with minimaldynamic order for uncertain nonlinear systems, IEE ProceedingsControl Theory and Applications, 150(2), 2003, 189–197. [12] L.X. Wang, Adaptive Fuzzy Systems and Control: Design andStability Analysis (Englewood Cliffs, NJ: Prentice-Hall, 1994). [13] J.L. Castro, Fuzzy logic controllers are universal approximators,IEEE Transactions on Systems, Man, and Cybernetics, 25 (4),1995, 629–635. [14] K. Hornik, Multilayer feedforward networks are universal ap-proximators, Neural Networks, 2, 1989, 359–366. [15] M. Farza, M. Msaad, & M. Sekher, A set of observers for a classof nonlinear systems, Proceedings of IFAC Word Congress,Prague, Czech Republic, 2005. [16] M. Farza & M. M’saad, Observer design for a class of MIMOnonlinear, Automatica, 40, 2004, 135–143. [17] A. Boulkroune, M. Tadjine, M. M’saad, & M. Farza, How todesign a fuzzy adaptive control based on observers for uncertainaffine nonlinear systems, Fuzzy Sets and Systems, 159, 2008,926–948. [18] A. Boulkroune, M. Tadjine, M. Msaad, & M. Farza, Adaptivefuzzy controller for non-affine systems with zero dynamics,International Journal of Systems Science, 40 (4), 2009, 367–382. [19] M.P.R.V. Rao & W. Fiessenger, A new adaptive law for robustadaptive control, IEE Electronic Letters, 30, 1994, 531–532.
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