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Robust Sampled‐Data Control for Fuzzy Uncertain Systems
Author(s) -
Hu L.S.,
Shao H.H.,
Sun Y.X.
Publication year - 2001
Publication title -
developments in chemical engineering and mineral processing
Language(s) - English
Resource type - Journals
eISSN - 1932-2143
pISSN - 0969-1855
DOI - 10.1002/apj.5500090221
Subject(s) - control theory (sociology) , fuzzy control system , fuzzy logic , nonlinear system , autopilot , missile , robust control , computer science , control (management) , control engineering , control system , mathematics , engineering , artificial intelligence , physics , electrical engineering , quantum mechanics , aerospace engineering
Sampled‐data control which is capable of stabilizing general nonlinear systems with the intersample behavior taken into account are of great current interest. In this paper, the Takagi‐Sugeno fuzzy models were considered for representing the nonlinear plants. For the Takagi‐Sugeno fuzzy model and the Takagi‐Sugeno uncertain fuzzy model, the fuzzy sampled‐data control and the robust sampled‐data control were considered in this paper. The robust sampled‐data control for the Takagi‐Sugeno uncertain fuzzy model with the constraints on the states was also developed. The results were described as the matrix inequalities, which could be solved by LMITool. Finally, a numerical example based on the missile autopilot model was considered, the result showed the effectiveness of the proposed procedures.