A New Approach to Fuzzy Output Feedback Controller Design of Continuous-Time Takagi–Sugeno Fuzzy Systems
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Jian Zhang | Guolin Hu | Zhiguo Yan | Zhiguo Yan | Jian Zhang | Guolin Hu
[1] Xiaodong Liu,et al. An approach to observer design of continuous-time Takagi-Sugeno fuzzy model with bounded disturbances , 2015, Inf. Sci..
[2] Kevin Guelton,et al. New controllers and new designs for continuous-time Takagi-Sugeno models , 2012, 2012 IEEE International Conference on Fuzzy Systems.
[3] Thierry-Marie Guerra,et al. Continuous Takagi–Sugeno's Models: Reduction of the Number of LMI Conditions in Various Fuzzy Control Design Technics , 2007, IEEE Transactions on Fuzzy Systems.
[4] Lihua Xie,et al. Robust control of a class of uncertain nonlinear systems , 1992 .
[5] Mohammed Chadli,et al. LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models , 2012, IEEE Transactions on Fuzzy Systems.
[6] Qing-Guo Wang,et al. Static output feedback stabilization for fractional-order systems in T-S fuzzy models , 2016, Neurocomputing.
[7] Peng Shi,et al. A Novel Observer-Based Output Feedback Controller Design for Discrete-Time Fuzzy Systems , 2015, IEEE Transactions on Fuzzy Systems.
[8] H. Lam,et al. Stability analysis and control synthesis for fuzzy-observer-based controller of nonlinear systems: a fuzzy-model-based control approach , 2013 .
[9] Michio Sugeno,et al. Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.
[10] V Estrada-Manzo,et al. An alternative LMI static output feedback control design for discrete-time nonlinear systems represented by Takagi-Sugeno models. , 2019, ISA transactions.
[11] Jianbin Qiu,et al. Static-Output-Feedback ${\mathscr H}_{\bm \infty }$ Control of Continuous-Time T - S Fuzzy Affine Systems Via Piecewise Lyapunov Functions , 2013, IEEE Transactions on Fuzzy Systems.
[12] Eun Tae Jeung,et al. Static output feedback control for continuous-time T-S fuzzy systems: An LMI approach , 2014 .
[13] Kevin Guelton,et al. Robust dynamic output feedback fuzzy Lyapunov stabilization of Takagi-Sugeno systems - A descriptor redundancy approach , 2009, Fuzzy Sets Syst..
[14] Shumin Fei,et al. Nonquadratic Stabilization of Continuous T–S Fuzzy Models: LMI Solution for a Local Approach , 2012, IEEE Transactions on Fuzzy Systems.
[15] Yongduan Song,et al. A novel approach to output feedback control of fuzzy stochastic systems , 2014, Autom..
[16] Tieshan Li,et al. Predictor-based neural dynamic surface control for distributed formation tracking of multiple marine surface vehicles with improved transient performance , 2016, Science China Information Sciences.
[17] Bor-Sen Chen,et al. Mixed Fuzzy Output Feedback Control Design for Nonlinear Dynamic Systems: An LMI Approach , 2000 .
[18] Jian Ma,et al. Dynamic output feedback controller design for fuzzy systems , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[19] Shaocheng Tong,et al. Observer-Based Output-Feedback Control Design for a Class of Nonlinear Switched T–S Fuzzy Systems with Actuator Saturation and Time Delay , 2017, Int. J. Fuzzy Syst..
[20] Xiaojie Su,et al. Dissipativity-Based Filtering for Fuzzy Switched Systems With Stochastic Perturbation , 2016, IEEE Transactions on Automatic Control.
[21] Guang-Hong Yang,et al. Switching Fuzzy Dynamic Output Feedback $H_{\infty}$ Control for Nonlinear Systems , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[22] Kazuo Tanaka,et al. Optimal Dynamic Output Feedback Designs for Backing-up Control of a Vehicle with Triple Trailers , 2006, 2006 IEEE International Conference on Fuzzy Systems.
[23] Tao Zou,et al. Asymptotically necessary and sufficient stability conditions for discrete-time Takagi-Sugeno model: Extended applications of Polya's theorem and homogeneous polynomials , 2014, J. Frankl. Inst..
[24] Eugênio B. Castelan,et al. Fuzzy dynamic output feedback control through nonlinear Takagi-Sugeno models , 2015, Fuzzy Sets Syst..
[25] Yang Liu,et al. Dynamic Output Feedback Control for Continuous-Time T–S Fuzzy Systems Using Fuzzy Lyapunov Functions , 2017, IEEE Transactions on Fuzzy Systems.
[26] Thierry-Marie Guerra,et al. LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form , 2004, Autom..
[27] Sing Kiong Nguang,et al. Static output feedback controller design for fuzzy systems: an ILMI approach , 2006, 2006 1st International Symposium on Systems and Control in Aerospace and Astronautics.
[28] Xiangpeng Xie,et al. Relaxed Stability Conditions for Continuous-Time T–S Fuzzy-Control Systems Via Augmented Multi-Indexed Matrix Approach , 2011, IEEE Transactions on Fuzzy Systems.
[29] Kazuo Tanaka,et al. Dynamic parallel distributed compensation for Takagi-Sugeno fuzzy systems: An LMI approach , 2000, Inf. Sci..
[30] Yan Shi,et al. Switched Fuzzy Output Feedback Control and Its Application to a Mass–Spring–Damping System , 2016, IEEE Transactions on Fuzzy Systems.
[31] Bing Chen,et al. A direct method of static output feedback design for T-S fuzzy systems , 2014, 11th IEEE International Conference on Control & Automation (ICCA).
[32] Shaocheng Tong,et al. Observer-Based Adaptive Fuzzy Tracking Control for Strict-Feedback Nonlinear Systems With Unknown Control Gain Functions , 2020, IEEE Transactions on Cybernetics.
[33] A. K. Iqbal Ahammed,et al. Robust Stabilization and Control of Takagi-Sugeno Fuzzy Systems with Parameter Uncertainties and Disturbances via State Feedback and Output Feedback , 2019, Int. J. Fuzzy Syst..
[34] Yingnan Pan,et al. Fuzzy output-feedback control for non-linear systems with input time-varying delay , 2014 .
[35] Kazuo Tanaka,et al. Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .
[36] Zhouhua Peng,et al. Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[37] Dong Yue,et al. Event-triggered real-time scheduling stabilization of discrete-time Takagi-Sugeno fuzzy systems via a new weighted matrix approach , 2018, Inf. Sci..
[38] Songyi Dian,et al. Fuzzy dynamic output feedback H∞ control for continuous-time T-S fuzzy systems under imperfect premise matching. , 2017, ISA transactions.
[39] Shaocheng Tong,et al. Robust adaptive fuzzy backstepping output feedback tracking control for nonlinear system with dynamic uncertainties , 2010, Science China Information Sciences.
[40] Yan Yu,et al. Membership-Function-Dependent Stability Analysis and Control Synthesis of Guaranteed Cost Fuzzy-Model-Based Control Systems , 2016, International Journal of Fuzzy Systems.
[41] Geraldo Nunes Silva,et al. Reducing the conservatism of LMI-based stabilisation conditions for TS fuzzy systems using fuzzy Lyapunov functions , 2013, Int. J. Syst. Sci..
[42] Shengyuan Xu,et al. Robust H/sub /spl infin// control for uncertain discrete-time-delay fuzzy systems via output feedback controllers , 2005, IEEE Transactions on Fuzzy Systems.
[43] Jyh-Horng Chou,et al. Regularity and controllability robustness of TS fuzzy descriptor systems with structured parametric uncertainties , 2014, Inf. Sci..
[44] Peng Shi,et al. Robust backstepping control for a class of time delayed systems , 2005, IEEE Transactions on Automatic Control.
[45] Xiaodong Liu,et al. H∞ filtering design for continuous-time Takagi-Sugeno fuzzy model with immeasurable premise variables , 2016, Neurocomputing.
[46] Hoda Moodi,et al. Robust Controller Design for Takagi–Sugeno Systems with Nonlinear Consequent Part and Time Delay , 2018, Int. J. Fuzzy Syst..
[47] Hak-Keung Lam,et al. A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent analysis , 2018, Eng. Appl. Artif. Intell..
[48] Xiangyu Li,et al. Transmission frequency-band hidden technology in physical layer security , 2015, Science China Information Sciences.
[49] J. Lauber,et al. An Efficient Lyapunov Function for Discrete T–S Models: Observer Design , 2012, IEEE Transactions on Fuzzy Systems.
[50] Xiaodong Liu,et al. An extended approach to controller design of continuous-time Takagi-Sugeno fuzzy model , 2018, J. Intell. Fuzzy Syst..
[51] Peng Shi,et al. H∞ fuzzy output feedback control design for nonlinear systems: an LMI approach , 2003, IEEE Trans. Fuzzy Syst..
[52] Shaocheng Tong,et al. Observer-based adaptive fuzzy backstepping control of uncertain nonlinear pure-feedback systems , 2014, Science China Information Sciences.
[53] Bor-Sen Chen,et al. Mixed H2/H∞ fuzzy output feedback control design for nonlinear dynamic systems: an LMI approach , 2000, IEEE Trans. Fuzzy Syst..
[54] Xiaodong Liu,et al. Further study on local stabilization of continuous-time nonlinear systems presented as Takagi-Sugeno fuzzy model , 2015, J. Intell. Fuzzy Syst..
[55] Bing Chen,et al. Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[56] Kevin Guelton,et al. Static Output Feedback controller design for Takagi-Sugeno systems - a Fuzzy Lyapunov LMI approach , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[57] Pierre Apkarian,et al. Parameterized linear matrix inequality techniques in fuzzy control system design , 2001, IEEE Trans. Fuzzy Syst..
[58] M. Kchaou,et al. Non-fragile H∞ output feedback control design for continuous-time fuzzy systems. , 2015, ISA transactions.