Performance-oriented quasi-LPV modeling of nonlinear systems
暂无分享,去创建一个
[1] Carsten W. Scherer,et al. LPV control and full block multipliers , 2001, Autom..
[2] Fen Wu,et al. Induced L2‐norm control for LPV systems with bounded parameter variation rates , 1996 .
[3] Miguel Bernal,et al. A membership-function-dependent approach for stability analysis and controller synthesis of Takagi-Sugeno models , 2009, Fuzzy Sets Syst..
[4] Damiano Rotondo,et al. Robust state-feedback control of uncertain LPV systems: An LMI-based approach , 2014, J. Frankl. Inst..
[5] Carsten W. Scherer,et al. LMI Relaxations in Robust Control , 2006, Eur. J. Control.
[6] Minyue Fu,et al. ℒ︁2‐Gain analysis and control of uncertain nonlinear systems with bounded disturbance inputs , 2008 .
[7] Ali Jadbabaie,et al. Nonlinear H∞ control: an enhanced quasi-LPV approach , 1999 .
[8] Antonio Sala,et al. On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems , 2009, Annu. Rev. Control..
[9] Antonio Sala,et al. Choosing a Takagi-Sugeno model for improved performance , 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[10] Wilson J. Rugh,et al. Research on gain scheduling , 2000, Autom..
[11] S. Pettersson,et al. Linear parameter-varying descriptions of nonlinear systems , 2004, Proceedings of the 2004 American Control Conference.
[12] Yong Wang,et al. T-S-Fuzzy-Model-Based Approximation and Controller Design for General Nonlinear Systems. , 2012, IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society.
[13] Thierry-Marie Guerra,et al. Generalized Nonquadratic Stability of Continuous-Time Takagi–Sugeno Models , 2010, IEEE Transactions on Fuzzy Systems.
[14] M. D. Bronshtein. Smoothness of roots of polynomials depending on parameters , 1979 .
[15] A. Trofino,et al. LMI stability conditions for uncertain rational nonlinear systems , 2014 .
[16] Pedro Luis Dias Peres,et al. An improved LMI condition for robust D-stability of uncertain polytopic systems , 2003, IEEE Trans. Autom. Control..
[17] Antonio Sala,et al. Optimisation of transient and ultimate inescapable sets with polynomial boundaries for nonlinear systems , 2016, Autom..
[18] Fernando D. Bianchi,et al. Gain scheduling control of variable-speed wind energy conversion systems using quasi-LPV models , 2005 .
[19] Thierry-Marie Guerra,et al. LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form , 2004, Autom..
[20] Graziano Chesi,et al. Estimating the domain of attraction for non-polynomial systems via LMI optimizations , 2009, Autom..
[21] Jos F. Sturm,et al. A Matlab toolbox for optimization over symmetric cones , 1999 .
[22] Yun Huang,et al. Nonlinear optimal control: an enhanced quasi-LPV approach , 1999 .
[23] Antonio Sala,et al. Computer control under time-varying sampling period: An LMI gridding approach , 2005, Autom..
[24] Antonio Sala,et al. Cancellation-Based Nonquadratic Controller Design for Nonlinear Systems via Takagi–Sugeno Models , 2017, IEEE Transactions on Cybernetics.
[25] Jeff S. Shamma,et al. A Linear Parameter Varying Approach to Gain Scheduled Missile Autopilot Design , 1992 .
[26] Pierre Apkarian,et al. Self-scheduled H∞ control of linear parameter-varying systems: a design example , 1995, Autom..
[27] Kazuo Tanaka,et al. Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .
[28] Thierry-Marie Guerra,et al. Observer design for Takagi-Sugeno descriptor models: An LMI approach , 2015, Autom..
[29] Damiano Rotondo,et al. Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models , 2015, Fuzzy Sets Syst..
[30] Antonio Sala,et al. Subspace-Based Takagi–Sugeno Modeling for Improved LMI Performance , 2017, IEEE Transactions on Fuzzy Systems.
[31] Dong Hwan Lee,et al. Relaxed LMI Conditions for Local Stability and Local Stabilization of Continuous-Time Takagi–Sugeno Fuzzy Systems , 2014, IEEE Transactions on Cybernetics.
[32] Paul M.J. Van den Hof,et al. Prediction-Error Identification of LPV Systems: Present and Beyond , 2012 .
[33] Fen Wu,et al. Gain-scheduling control of LFT systems using parameter-dependent Lyapunov functions , 2005, Proceedings of the 2005, American Control Conference, 2005..
[34] Minyue Fu,et al. Robust analysis and control for a class of uncertain nonlinear discrete-time systems , 2004, Syst. Control. Lett..
[35] Masayuki Sato,et al. Gain-scheduled output-feedback controllers using inexact scheduling parameters for continuous-time LPV systems , 2013, Autom..
[36] P. Gahinet,et al. A convex characterization of gain-scheduled H∞ controllers , 1995, IEEE Trans. Autom. Control..
[37] Antonio Sala,et al. Polynomial Fuzzy Models for Nonlinear Control: A Taylor Series Approach , 2009, IEEE Transactions on Fuzzy Systems.
[38] Antonio Sala,et al. Relaxed Stability and Performance LMI Conditions for Takagi--Sugeno Fuzzy Systems With Polynomial Constraints on Membership Function Shapes , 2008, IEEE Transactions on Fuzzy Systems.
[39] A. Packard. Gain scheduling via linear fractional transformations , 1994 .
[40] George W. Irwin,et al. Sampled-data gain scheduling of continuous LTV plants , 2009, Autom..
[41] 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.
[42] P. Gahinet,et al. Affine parameter-dependent Lyapunov functions and real parametric uncertainty , 1996, IEEE Trans. Autom. Control..
[43] Edoardo Mosca,et al. Constrained predictive control of nonlinear plants via polytopic linear system embedding , 2000 .
[44] Jan Swevers,et al. Gain-scheduled H 2 and H ∞ control of discrete-time polytopic time-varying systems , 2010 .