Gain-Scheduled Control via Convex Nonlinear Parameter Varying Models

[1]  Franco Blanchini,et al.  Set invariance in control , 1999, Autom..

[2]  Wilson J. Rugh,et al.  Research on gain scheduling , 2000, Autom..

[3]  David Q. Mayne,et al.  Control of Constrained Dynamic Systems , 2001, Eur. J. Control.

[4]  Thierry-Marie Guerra,et al.  LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form , 2004, Autom..

[5]  Fen Wu,et al.  Gain-scheduling control of LFT systems using parameter-dependent Lyapunov functions , 2005, Proceedings of the 2005, American Control Conference, 2005..

[6]  Fernando D. Bianchi,et al.  Gain scheduling control of variable-speed wind energy conversion systems using quasi-LPV models , 2005 .

[7]  Herbert Werner,et al.  PCA-Based Parameter Set Mappings for LPV Models With Fewer Parameters and Less Overbounding , 2008, IEEE Transactions on Control Systems Technology.

[8]  Antonio Sala,et al.  On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems , 2009, Annu. Rev. Control..

[9]  E. F. Camacho,et al.  On the computation of convex robust control invariant sets for nonlinear systems , 2010, Autom..

[10]  Eduardo F. Camacho,et al.  Invariant sets computation for convex difference inclusions systems , 2012, Syst. Control. Lett..

[11]  A. Sala.  Generalising quasi-LPV and CDI models to Quasi-Convex Difference Inclusions , 2017 .

[12]  Antonio Sala,et al.  Asymptotically exact stabilisation for constrained discrete Takagi-Sugeno systems via set-invariance , 2017, Fuzzy Sets Syst..

[13]  Antonio Sala,et al.  Performance-oriented quasi-LPV modeling of nonlinear systems , 2018, International Journal of Robust and Nonlinear Control.