Robust Tracking Control Design for Nonlinear Systems via Fuzzy Observer

Author(s):  
Guang-Hui Chang ◽  
Jie-Chang Wu

Author(s):  
H. Ghorbel ◽  
A. El Hajjaji ◽  
M. Souissi ◽  
M. Chaabane

In this paper, a robust fuzzy observer-based tracking controller for continuous-time nonlinear systems presented by Takagi–Sugeno (TS) models with unmeasurable premise variables, is synthesized. Using the H∞ norm and Lyapunov approach, the control design for TS fuzzy systems with both unmeasurable premises and system states is developed to guarantee tracking performance of closed loop systems. Sufficient relaxed conditions for synthesis of the fuzzy observer and the fuzzy control are driven in terms of linear matrix inequalities (LMIs) constraints. The proposed method allows simplifying the design procedure and gives the observer and controller gains in only one step. Numerical simulation on a two tank system is provided to illustrate the tracking control design procedure and to confirm the efficiency of the proposed method.



1998 ◽  
Vol 31 (18) ◽  
pp. 345-350
Author(s):  
Jijoon Byun ◽  
Nam H. Jo ◽  
Hyungbo Shim ◽  
Jin H. Seo


2021 ◽  
Vol 107 ◽  
pp. 104676
Author(s):  
Edgar A. Martínez ◽  
Héctor Ríos ◽  
Manuel Mera




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